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Craft lifelike Spanish voiceovers with our cutting-edge AI. Simply input your text, hit the button, and let our technology effortlessly convert it into authentic Spanish speech.
Spanish, with the language code 'es-ES', is one of the world's most spoken languages. It is the official or dominant language in countries such as Spain, Mexico, and most of Central and South America. With numerous dialects and accents, Spanish offers rich linguistic diversity.
The Spanish language boasts unique pronunciation features. This includes the vibrant 'r' sound, the use of the 'ñ' character, and distinct vowel sounds that differ from many other languages. In terms of grammar, it follows a subject-verb-object order but with flexible positioning for emphasis. Its phonetics and articulation patterns make it melodic and rhythmic to listeners.
Vibrant 'R' Sounds. Castilian has two types of "r" sounds. The single 'r' sound, when appearing between two vowels or at the end of a word, is tapped briefly with the tip of the tongue against the roof of the mouth, like the "tt" in "butter" in an American English accent. The rolled "rr" sound, often represented with a double "r" in words like "perro", involves a trill or multiple vibrations.
Distinguishing 'V' and 'B'. In many dialects of Spanish, there's no significant difference in pronunciation between "v" and "b". Both are often pronounced as a soft "b", especially between vowels.
'J' and 'G' Sounds: The letter "j" and the letter "g" before "i" or "e" are pronounced like the English "h" but with more friction.
With SpeechGen, users can convert written Spanish text into lifelike speech. Our advanced synthesis technology takes into account the intricate nuances of the Castilian language. This ensures that the generated audio is natural, reflecting native-level articulation and intonation. The system effectively processes and converts text, making use of advanced artificial intelligence algorithms and neural network models.
Experience the seamless synthesis of Castilian Spanish voices transforming your text into vibrant speech. Dive into the world of sound with our advanced conversion technology.
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Easily convert text to speech in Castilian Spanish, and 100 more languages. Try our Castilian Spanish text to speech free online. No registration required. Create Audio
Create Spanish audio guides, language lessons, video voiceovers and audiobooks easily. Make Spanish text to speech MP3 files from Word documents, or turn Powerpoint slideshows into narrated videos.
Read Spanish text aloud with the best Spanish text to speech online voices, in many regional accents and variants. Using a Spanish voice generator is easier and more convenient than recording the audio yourself or paying a Spanish voice actor, and it creates realistic text to speech in Spanish that sounds like a native speaker. Our Spanish text to speech voices can speak in many regional accents .
Narakeet has 30 Castilian Spanish text to speech male and female voices, and many more in other regional Spanish variants . Play the video below (with sound) for a quick demo.
Making voice content for the Spanish market? In addition to our Castilian accent generators, check out Catalan text to speech voices and Basque voice generators and Galician text readers.
In addition to these voices, Narakeet has 700 text-to-speech voices in 100 languages .
For more options (uploading Word documents, voice speed/volume controls, working with Powerpoint files or Markdown scripts), check out our Tools .
For more regional Spanish text-to-speech variants, check out the following pages:
Spanish accent voice generator can help you easily record and produce audio materials in Spanish, much faster and cheaper than hiring Spanish voice talent. Here are some of the things you can create with Narakeet:
Narakeet helps you create text to speech voiceovers , turn Powerpoint presentations and Markdown scripts into engaging videos. It is under active development, so things change frequently. Keep up to date: RSS , Slack , Twitter , YouTube , Facebook , Instagram , TikTok
Spanish Text Reader, convert Spanish text to lifelike voices and save as mp3 format in seconds.
Convert text to speech to Spanish AI voices that sound like native speakers. Try Spanish text to speech online. No signup required.
Trusted by individuals and teams of all sizes, spanish voice generator samples.
Listen to the most conversational, and unique Spanish text to speech voices.
Spanish text to speech features.
Enjoy flawless, natural-sounding Spanish AI voices with PlayHT’s industry-leading speech synthesis. Human-like rhythm and conversational Spanish voice overs that are indistinguishable from humans.
The PlayHT voice library features over 900 premium AI TTS voices. From distinctive characters and even accents.
Convert text to speech with one of the fastest Spanish text to speech APIs in real time. Create voice overs for your audio content on-the fly.
PlayHT’s AI voice generator converts text into high-quality, natural-sounding speech in over 142 other languages. From English, Japanese, and Spanish, to Chinese, our AI voice is indistinguishable from a native speaker.
PlayHT is one of the very few text to speech converters that offers Spanish TTS accents.
Spain, located in Southwestern Europe on the Iberian Peninsula, has a population of about 47 million. Its history includes Roman and Moorish periods, the Reconquista, and a global empire in the 16th century. Madrid, the capital, is known for its cultural heritage and vibrant nightlife. Spanish culture is diverse, with regional variations in traditions, festivals like La Tomatina, and a rich artistic legacy. Key landmarks include the Alhambra, Sagrada Familia, and the Camino de Santiago. The official language is Spanish, with regional languages like Catalan, Galician, and Basque also recognized.
Spanish is spoken by about 580 million people worldwide as a first or second language. It is the official language of Spain and most Latin American countries. Spanish belongs to the Romance branch of the Indo-European language family and uses the Latin script. Spanish has a rich literary tradition and is known for its clear pronunciation and extensive vocabulary.
Listen to AI voices that are indistinguishable from humans.
Listen to AI Voice performances created using PlayHT
PlayHT has pioneered conversational AI Spanish Text to Speech (TTS) and this makes the voices very native sounding.
Text to speech (TTS) is a technology that reads aloud digital text—the words on computers, smartphones, and tablets. Using TTS, you can listen to books, articles, and websites without having to read them on a screen. It's like having someone read to you.
This technology is vital for accessibility, helping people with visual impairments access written content through audio. It's also integrated into navigation systems and virtual assistants for seamless human-machine interaction.
Improving naturalness in synthesized speech is an ongoing goal. Researchers use machine learning and neural networks to refine algorithms and enhance speech quality. The aim is to make synthesized speech sound more like human speech, reducing the gap between the two.
Here's a step-by-step tutorial for using Spanish text to speech on PlayHT:
Create a new account or log into your existing PlayHT dashboard to access the TTS studio.
Once logged in, you can type, paste, or upload your text directly into the text box.
Choose from the best Spanish AI voices or 900+ other conversational AI voices. You’re sure to find the perfect voice for your project.
Clone your voice to create a custom sounding Spanish text to speech voice. It only takes 30 seconds.
Move sliders to adjust tone, speed, and style to get the perfect speech output your project demands.
Whenever you are ready, you can download a high quality Spanish MP3 audio file of your natural-sounding Spanish speech.
Unlock premium synthesized speech tailored to almost every use case. With PlayHT's diverse array of AI text to speech voices and accents, ensuring your content is not just read aloud, but also enjoyable to listen to.
Empower content creators with PlayHT's TTS for Spanish AI voice overs, allowing them to generate realistic and expressive voice overs for various applications such as animation, gaming, and storytelling, adding depth and authenticity to multimedia projects.
Enhance accessibility and inclusivity by using PlayHT's TTS for Audio Articles and Accessibility, converting written Spanish content into audio formats such as podcasts and audiobooks, making it easier for individuals with dyslexia and other reading challenges to access and enjoy the content effortlessly.
Listen to your Google Docs, email, or any website in Spanish . Professionals and students that have to read a lot at school or work, can blaze through their reading and save minutes on every article. It all adds up.
Create lifelike virtual Spanish assistants that engage users in natural dialogue, enhancing user experiences across platforms like chatbots, virtual agents, and smart speakers.
Create Spanish E-Learning, training, or educational content that sounds conversational and engaging. Improve accessibility and engagement for students and employees of all abilities.
Integrate PlayHT's Spanish TTS into IVR Systems to deliver clear and natural-sounding prompts and messages, enhancing the efficiency and effectiveness of customer interactions by providing easy-to-understand voice guidance.
Create YouTube and TikTok Spanish TTS videos that sound native. Your listeners will not be distracted by a robotic voice or be able to distinguish it from human narration.
Try the best Spanish text to speech app that's indistinguishable from a native speaker.
Convert text to speech in perfect Spanish pronunciation and intonation.
Accessibility experts, customer reviews.
Top-rated on Trustpilot, G2, and AppSumo
The service team was exceptional and was very helpful in supporting my business needs. Would definitely use it again if needed!
The interface is clean, uncluttered, and super easy and intuitive to use. Having tried many others, PlayHT is my #1 favorite. Many natural sounding high quality voices to choose from...
I tried the bigger companies first and noting compare to this awesome website. The voices are so real that is amazing how AI is now. Don't waste your time in Polly, Azure, or Cloud; this is your text-to-voice software.
With PlayHT, converting Spanish text to audio is seamless. Simply log into our platform, input your text, select your desired AI voice, and generate. You can then download the audio in MP3 or WAV format.
PlayHT offers the most realistic Spanish TTS voices in the industry. Our advanced AI technology captures human nuances, delivering a voice experience virtually indistinguishable from an actual human narrator.
Our Spanish TTS voices are generated by state-of-the-art AI models, trained on vast datasets to produce lifelike and natural-sounding speech, ensuring top-notch quality and realism.
PlayHT boasts an expansive library of over 800 AI voices across 142 languages. Simply browse, preview, and select the voice that resonates best with your content.
PlayHT offers a version of our TTS tool ideal for individuals with dyslexia, making reading more accessible. Our lifelike voices can assist in comprehension and make content more engaging.
PlayHT's Spanish text to speech tool utilizes advanced algorithms to convert written text into natural-sounding speech that is indistinguishable to a human voice. It analyzes the text for pronunciation, intonation, and other linguistic factors to generate lifelike audio output.
PlayHT's text to speech tool supports multiple languages, including but not limited to Portuguese, Danish, German, Hindi, Japanese, Korean, Norwegian, Russian, Turkish, Greek, Polish, Thai, Bulgarian, Indonesian, Finnish, and Italian.
Yes, PlayHT's text to speech tool offers customization options for voice selection and accent preferences. You can choose from a variety of voices and accents to suit their specific needs and preferences.
Yes, PlayHT's text to speech app prioritizes high-quality and natural-sounding speech generation. Our advanced technology ensures that the generated audio is clear, expressive, and indistinguishable from human speech in many cases.
Yes, PlayHT's Spanish text to speech tool is available for both personal and commercial use. However, access to certain advanced features may be limited to premium pricing plans. Whether you're creating educational content, customer service applications, or multimedia projects, you can leverage our tool to enhance your offerings with the appropriate plan.
Yes, PlayHT's Spanish text to speech tool offers integration options with various platforms and applications through APIs. This allows seamless integration into websites, mobile apps, IVR systems, and softwares like Windows and Microsoft.
Absolutely. PlayHT's Spanish text to speech tool is designed to enhance accessibility for individuals with visual impairments, dyslexia, and other reading challenges. By converting text into audio files, we make content more accessible and inclusive for everyone.
PlayHT's text to speech tool is versatile and applicable across various industries and use cases. Industries such as education, e-learning, entertainment, customer service, and accessibility services can all benefit from the capabilities of our tool.
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If you are connecting from one of these sanctioned countries, your access to our service will be blocked. If you believe you have been incorrectly blocked, you can contact us via https://help.elevenlabs.io/hc/en-us/requests/new .
Convert Spanish text to speech and download an audio file in MP3.
With a wide selection of realistic, natural-sounding voices, generate a Spanish voice over with Spanish text-to-speech.
If you’re familiar with text-to-speech (TTS), then you know how robotic some TTS voices can sound. Get access to more realistic voices in Spanish dialects from different regions like Mexico and Spain. If you need to translate English to Spanish Text to Speech, try the subtitle translator to get your desired text in Spanish, accurately.
The best part of using this Spanish text to voice converter? You get customizable subtitles in Spanish with your new voice file. Perfect for voiceover videos , use Spanish text to speech and add the audio to a new or existing video project.
Unlike other Spanish text to voice converters, Kapwing partnered with ElevenLabs voice technology to give you state-of-the-art voices to generate. Discover a range of voices to capture your desired tone and preserve meaning in Spanish.
Vannesia Darby
CEO of Moxie Nashville
Eunice Park
Studio Production Manager at Formlabs
Open the Audio tab in the left-hand toolbar. Then, select Text to Speech .
Change text input to Spanish and start typing or pasting in your Spanish text.
From the voice dropdown, select a voice to generate in Spanish. Continue editing and export your project when you're finished.
Yes—you can convert text or voice to Spanish in Kapwing. To change text-to-speech to Spanish, upload your video or audio file to Kapwing. Then, open the Subtitles tab in the left-hand toolbar and translate TTS to Spanish.
Explore over 20 realistic, natural-sounding text-to-speech AI voices in Kapwing. We’ve partnered with ElevenLabs AI voice technology to provide you with only high-quality voices for TTS. Plus, we support over 70 languages from around the world to help localize your content.
Kapwing is free to use for teams of any size. We also offer paid plans with additional features, storage, and support.
Use the Spanish text-to-speech voice generator to create realistic voiceovers for your videos. Choose from a variety of Spanish male and female voices in a range of regional accents. Select the AI voice you'd like to use, type in your Spanish text, click Play to hear, and download the result!
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Trusted by over 50,000 companies of all sizes
Try out our text-to-speech voices in Castilian Spanish, Mexican Spanish, and many more regional accents.
Adjustable pronunciation.
Make your Spanish speech even more realistic by adjusting the pronunciation of specific words and sounds.
Spanish voices in 23+ different accents: El Salvador, Mexico, Equatorial Guinea, Colombia, Costa Rica, Spain, and many more.
Our Spanish text-to-speech voices come in a range of styles: calm, bright, professional, soft, bright — you name it.
Translate your video and audio content from and into the Spanish language in a single click using AI.
Convert Spanish text to videos with AI avatars in as little as 5 minutes. The AI avatar will act as a Spanish narrator in your video.
Easily generate realistic text-to-speech voiceovers tailored to the Spanish-speaking market. Target Spanish speakers all over the world.
Create an account.
Sign up for Synthesia and create a new video.
Paste your Spanish text or generate a script in Spanish with an AI script generator.
Choose from 100+ natural-sounding Spanish voices in a range of accents. The AI voice generator will automatically convert the text to speech in Spanish.
Make the AI voiceover more engaging by adding a realistic avatar that will narrate your Spanish text.
Personalize your Spanish text-to-speech video with stock photos or your own images, videos, audio files, shapes, and more.
That's it! Now you can download, stream, embed, and share your videos with Spanish speakers.
Generate Spanish TTS narration for eLearning, YouTube videos, language-learning lessons, and more using Synthesia.
Create training videos with text-to-speech in Spanish online in minutes, instead of weeks. Replace boring text-based training manuals with engaging videos.
Generate educational content in Spanish with lifelike AI voices to increase learners' engagement. Create lectures with text-to-speech voices in just a few clicks.
Improve your customer experience by transforming your help articles into short videos with natural Spanish TTS voices.
Keep your Spanish-speaking employees and stakeholders engaged with natural-sounding and realistic corporate videos.
Create professional looking explainer videos, product videos and brand videos with Spanish voiceovers without hiring a video production or recording studio.
All your spanish text-to-speech questions answered, what is the best ai for spanish text-to-speech.
According to G2 reviews , the best AI tool for Spanish text-to-speech is Synthesia. Synthesia's Spanish accent voice generator allows users to convert text to speech and video in 23+ regional Spanish accents. Additionally, you can add an AI avatar to narrate the written content in Spanish, eliminating the need for video production studios, Spanish voice talent, or Spanish language proficiency.
To translate text-to-speech voiceovers to Spanish, use Synthesia's one-click translation feature:
That's it — your text-to-speech narration has now been changed to Spanish.
The best Spanish AI voice generator and text-to-speech software is Synthesia. It has been rated 4.7/5 by 1200+ reviewers on G2.
Create an account and get started using Synthesia with full access to all 230+ avatars and 100+ Spanish voices.
Limited time ! Upto 67% OFF
Trusted by 400K+ users globally !
Free Plan includes 1000 Characters/Month
4 YEARS OF TRUST GLOBALLY !
Top Rated AI Services - Trusted by 400K+
Speakatoo employs AI for lifelike Spanish voices with genuine human accents.
*No credit card required
Speakatoo’s interface is simple, offering realistic voice output and seamless text to speech conversion for users. Perfect solutions for Marketers, Authors, Teachers, Students, Support, Product Makers, etc.
Listen to a lady narrate the 'Thirsty Crow' story in a lifelike manner.
Now, hear the same story told in a child's voice, sounding completely natural.
And Guess what ! Both are AI voices !
Add human emotions like happy, sad, angry, excited, hopeful, newscast, shouting, breathing, controlling timbre, and whispering for a richer and more nuanced sound experience.
Speakatoo features 850 voices, offering varied accents and tones for realistic, engaging speech synthesis.
Adjust audio rate, pitch, and volume. Download MP3 and WAV files using advanced speech controls.
Explore our text to speech platform, featuring 850+ AI voices in 130+ languages and diverse accents.
Explore Speakatoo's diverse accents and authentic voices for storytelling and communication.
Enhance your audio content with realistic breathing effects and pauses using our text to speech platform.
Speakatoo is user-friendly, easy to navigate, and widely acclaimed for its versatility in various applications.
We store project logs, allowing you to access them anytime, anywhere for your convenience and flexibility.
Speakatoo offers a 10-word Preview for easy viewing, editing, and annotating of various file types.
Convert Spanish blog text to audio for accessibility.
Integrate Spanish TTS for immersive audio in gaming apps.
Enhance social posts with immersive Spanish TTS.
Our authentic Spanish accent enhances e-learning and lessons.
Produce Spanish audiobooks for timely listening to favorite stories.
Utilizing Spanish TTS for customer interactions and IVR.
alvaro, lucia, rodrigo, elvira, how to convert spanish text to speech, 1. choose the spanish language.
Select the Spanish language from the list or experience Speakatoo's text to speech conversion in 130+ languages.
Choose a voice tone, preview it, and toggle between options to find the right one before converting text to speech.
Paste or type your text content for the conversion within the character limit.
Adjust Rate, Pitch, or Volume in Audio Control. Apply voice effects such as Angry, Cheerful, Excited, Shouting, Whispering, and more.
Create output files in formats like mp3, wav, mp4, ogg, and flac. Choose the format that suits your needs.
Our online AI voice generator will convert your text into high quality audio in just a few seconds. You can download your audio file from the list.
1000 characters FREE per month on Sign-up! No Card Required!
Pay As You Use !
Recurring every 30 days
Recurring every 1 month
Enjoy peace of mind with our 30 days return policy, ensuring satisfaction and flexibility for all your purchases.
Great text to speech support, easy dashboard to use, best affordable plans.
great tool for professional use and very responsive support team. kudos!
The best text to speech tool, additionally this tool has all best voices plus the pricing is also really good.
Real nice voices, specially Punjabi and Kannada. Completely Satisfied.
There are many variations of passages of Lorem Ipsum available but the majority have suffered alteration in some form, by more and more injected humour.
How does speakatoo's spanish text to speech converter work.
Speakatoo's Spanish Text to Speech utilizes advanced algorithms to convert written text into natural-sounding, expressive audio, offering a seamless voice synthesis experience.
Speakatoo's converter is versatile & accessible to anyone, catering to individuals, businesses, educators, content creators, and developers seeking natural-sounding Spanish audio solutions.
Accessing Speakatoo's Text to Speech Converter is easy. Visit our website, choose the preferred plan, and start enhancing your content with natural-sounding voices.
Yes, Speakatoo's text to speech supports several languages besides Spanish. Our platform currently supports over 130 languages and 850 voices, including English, Spanish, German, Swedish, French and more.
Yes, Speakatoo TTS supports REST API integration through which you can integrate our services with any third-party applications or websites. Please refer our documentation for more reference.
Certainly! Speakatoo's text to speech Spanish is an excellent choice for various professional applications. It can be used in Social media platforms, e-learning platforms, voice-over projects, automated customer support systems, and much more.
Text translation, source text, translation results, document translation, drag and drop.
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Explore Spanish text to speech voices to make realistic voiceovers for your videos, product demos & presentations.
Start creating voice overs in spanish.
Have a script? That’s all you need to add a voice over to your video content. No recording necessary, no background noise. Choose from 120+ curated natural sounding text to speech voices. Our voices support customization options like pitch, speed variation, and emphasis addition.
Have a script? That’s all you need to add a Spanish voice over to your video content. No recording necessary, no background noise. Choose from 120+ curated natural sounding text to speech voices. Our voices support customization options like pitch, speed variation, and emphasis addition.
Key features of murf spanish text to speech.
Add emphasis to specific words and phrases, ensuring your Spanish voiceovers are clear, expressive, and impactful.
Seamlessly adjust the pitch of your voiceovers, adding depth and emotion to your storytelling.
Easily incorporate varying lengths of pauses to add emphasis, clarity, and a natural cadence to your voiceovers in Spanish.
Convey the intended meaning accurately by adapting the pronunciation of words in Spanish.
Increase or decrease the speed of your voiceover to match the natural cadence of Spanish language, resulting in a more authentic and engaging delivery.
Convey a range of emotions, adding nuance and expressiveness to your spoken content in Spanish. Choose from formal, newcast, conversational, friendly tones and more.
Have a script? That’s all you need to add a voice over to your video content. No recording necessary, no background noise.
Easily convert your Spanish text into professional speech using the AI voices offered by Murf Studio. Our Spanish TTS voices are perfect for presentations, e-learning, YouTube videos, and increasing the accessibility of your website. We offer a range of 5 Spanish voices, which comprise three Mexican Spanish and two Spain Spanish language voices. One of the male voices, Raquel, and a Spanish female voice, Rosalyn, are part of the premium voices available in our Pro plan and the rest of the text to speech voices are available in our Basic plan.
Spanish is among the most widely spoken languages globally. So, it would make perfect sense for international businesses and businesses located in areas with a majority of Spanish speakers to make content in a Spanish accent. Irrespective of whether you want to create ads, product demos, or explainer videos, manually creating voiceovers would mean needing a professional voice actor who can speak the language fluently. But what if we said there was an easier way?
With Murf's Spanish text to speech voice generator, you can create voiceovers with a Spanish accent lending a brand of authenticity to the recorded message, whether it's for a tutorial, a radio advertisement, or a voicemail, among other use cases. Murf's natural-sounding Spanish language AI voices enable brands to leave the right impression and connect with the Spanish-speaking audience.
Currently, Murf Studio provides five text-to-speech Spanish voices, comprising three Mexican Spanish and two Spain Spanish accent voices, spanning gender and age.
By helping you create product demo videos in a Spanish accent, Murf offers an effective way for businesses to communicate their product's value to potential customers. Customers have developed a sense of trust in what they hear and come to anticipate it when they see any audiovisual piece. Hence, by creating audiovisual product videos in an accent that they can relate to, you are hitting the bull's eye.
Finding the right voice for a video is a complex task, especially for an explainer video that needs to get your message across quickly and effectively. With Murf Spanish text to speech, you can create well-timed explainer videos that establish solid connections and resonate with the target audience.
While a picture is often worth a thousand words, the sound accompanying the video is worth a million more. Accurate application of voiceovers on your YouTube videos increases viewers' chances of commenting, liking, and sharing the content and returning to the channel for more. Murf's natural-sounding Spanish accent AI voices deliver proper and natural articulation of Spanish words and sentences, as well as the correct placement of word stress for proper emphasis and variation. This makes any message sound authentic, authoritative, and credible.
Spotify has the data and the reach organizations and content creators need to target relevant customers. By tapping into Spotify's subscribers worldwide, brands can reach out to local and international markets with a voice over message that encourages listeners to explore more of the business and become brand advocates. Murf's AI voice generator in spanish enables you to move a step close to achieving this by allowing you to create ads with a Spanish accent in a matter of seconds.
Voice assistants like Siri, Alexa, and Google Assistant have become indispensable in our daily lives. Integrating Murf’s natural-sounding Spanish voices into these ensures that your voice assistant sounds like a native Spanish speaker. Spanish-speaking individuals can seamlessly communicate with their smart home devices, receive weather updates, or access online information, enhancing user experience.
Businesses in various domains can implement Murf’s TTS technology to create IVR systems that cater to Spanish-speaking customers, making the experience efficient, personalized, and user-friendly.
For instance, a healthcare provider can deploy an IVR system with Murf’s Spanish voice to assist Spanish-speaking patients in scheduling appointments, obtaining prescription information, or receiving general medical guidance.
Screen readers can leverage Murf’s Spanish TTS technology to convert text into Spanish voiceover, ensuring visually impaired users can access websites, documents, and digital resources in Spanish.
Further, integrating Murf’s Spanish voices into accessibility tools can ensure that your websites and applications are inclusive and comply with accessibility standards.
Murf’s Spanish AI voices enhance the elearning experience for Spanish-speaking students. How? Educators can create voiceovers for presentations and other elearning content using Murf Spanish voice generator, making it easy for students to comprehend and retain the information presented.
Murf’s Spanish text-to-speech technology offers a multitude of benefits that transcend boundaries and meet the diverse needs of users. Here are some transformative impacts this Spanish AI voice generator can make in various domains:
Murf’s TTS voice is a game-changer when it comes to accessibility. It empowers visually impaired individuals by converting written content into spoken words with exceptional clarity.
For instance, a student with visual disabilities can access an e-book in Spanish using Murf’s Spanish voice generator. They can effortlessly listen to study materials, participate in online courses, and engage with digital content, fostering a more inclusive learning environment.
Learning a new language is an enriching journey, and Murf’s Spanish voice generator serves as an excellent companion in this endeavor. Students and language enthusiasts can improve their pronunciation and comprehension by listening to authentic Spanish voices generated by Murf.
For instance, a language learner can use Murf TTS to hear proper Spanish pronunciation, which enhances their language skills and builds confidence in their conversational abilities.
One of the standout features of Murf TTS is its multilingual capabilities. This is invaluable for businesses with a global reach. For instance, a multinational corporation can use Murf TTS to create training materials in Spanish, ensuring consistency and inclusivity in their communications with employees speaking Spanish. Similarly, they can expand their reach in Spanish-speaking markets by creating marketing videos in Spanish.
Murf’s Spanish text to voice generator significantly enhances productivity and efficiency by converting extensive written word documents into spoken words within seconds. Consider a busy professional preparing a presentation in Spanish. With Murf text-to-speech Spanish voices, they can convert their script into a natural-sounding voiceover swiftly, saving valuable time and effort, instead of recording it manually.
Murf Spanish text to audio converter is a powerful tool for fostering digital inclusion. It ensures that information on websites, mobile apps, and other digital platforms is accessible to all, regardless of language proficiency or physical limitations. By making digital content available in spoken Spanish, organizations demonstrate their commitment to inclusivity.
Traditional voiceover creation entails an elaborate process: hiring professional voice artists, investing in expensive recording equipment, renting studios, and outsourcing editing tasks to modify and enhance voiceovers.
Murf’s cutting-edge text to speech software redefines the landscape of voiceover creation with its lifelike, flawless AI voices. What was once a time-consuming and costly endeavor, spanning hours, weeks, or even months, now takes mere minutes.
The possibilities with Murf extend beyond the conventional, allowing you to effortlessly integrate images, videos, and presentations into your voiceovers, all without the need for third-party software.
Here are the key features that make Murf the 'go-to' choice for exceptional Spanish TTS:
Murf offers a rich palette of natural Spanish voices spanning various genders and ages. For example, Lola’s young adult voice is perfect for engaging product demonstration videos, while Rosalyn’s middle-aged tone excels in documentary-style narrations.
Antonio’s middle-aged voice is ideal for corporate training materials, delivering a message with authority and clarity. These diverse voices are just a glimpse of the wide array of Spanish AI voices available with Murf, enhancing the effectiveness of your voiceovers across various content types.
Murf offers an advanced level of personalization through voice modulation features. You can adjust emphasis, pitch, speed, and pauses to craft a tailored Spanish voiceover. For instance, enhancing emphasis can be powerful for emphasizing key points in a corporate presentation, ensuring your message is clear and impactful.
Conversely, for an audiobook, slowing down the speed of sound enhances comprehension, making it an ideal choice for literary content. Changing pitch, on the other hand, can infuse energy into commercials, compelling your audience to take action.
Murf offers several customizable features to make Spanish voiceovers from scratch and adapt one’s narration to the intent of their script.
Murf’s AI voice changer feature allows users to convert their recorded audio into editable text . One can also enter their own script, remove or add pauses, delete extraneous words, and arrange the sequences just like editing a word document in Murf Studio.
Does your script need multiple voices but you don’t have the equipment to make it happen? With Murf, this is possible. Assign different AI voices for each part of your script from the five Spanish TTS voices available in Murf Studio. Use the multi-voice feature to create conversation-like voiceovers using the five different authentic Spanish TTS voices offered by Murf for each sentence in the same audio file.
After choosing a Spanish AI voice from Murf Studio for your project, you may still want to change its pitch, speed of narration for certain parts, or for all of your voiceover. You can do this using the Pitch and Speed features in the Studio. The Speed button can be utilized to either increase or decrease the speech rate of the voiceover. Similarly, using the emphasis feature, you can add intonations to certain words or a particular phrase in your script and enhance the pronunciation of your narration.
We offer a free trial that gives users access to 10 mins of voice generation time in the Studio to try out the voices with your script and check if it works for you. You get a choice of three text to speech Spanish voices in the free plan. If you are happy with the quality of the Spanish text to speech voiceover, you can download the final audio file by upgrading to a paid subscription .
So, go ahead and create your own podcast with stunning Spanish voiceovers and help visually impaired people or educate children by creating an audio version of your written content.
Selecting the right text to speech platform can significantly impact the quality and effectiveness of your synthesized audio content. When it comes to Spanish TTS, Murf emerges as a top contender, offering a plethora of features and capabilities, in addition to a free trial, that set it apart from the competition. Here are the key reasons why you should choose Murf for Spanish text to speech:
One of the most striking features of Murf is its realistic Spanish AI voices. Users can select between Spain and Mexico Spanish accent voices. These text to speech voices are meticulously crafted to sound natural and human-like, capturing the nuances of intonation, rhythm, and expression.
Murf empowers users with a high degree of control over voice customization. From adjusting speed and tone to fine-tuning pronunciation and emphasis, users can tailor the synthesized voice to match their specific requirements and preferences. Users can adjust the pitch and speed from +50% to -50% to effectively convey the intended message with clarity and precision.
With Murf’s innovative voice changer feature, users can effortlessly modify their home recordings to a studio-like experience. Murf utilizes cutting-edge AI text to speech Spanish voice technology to empower users to generate professional studio-quality voiceovers independently, from the convenience of their homes or offices.
Despite its sophisticated features and functionalities, Murf prides itself on its user-friendly interface and intuitive workflow. Whether you're a seasoned professional or a novice user, Murf’s streamlined design and comprehensive tutorials make the process of generating high-quality synthesized speech accessible and hassle-free. With just a few simple clicks, users can create professional-grade Spanish audio content that resonates with their audience and elevates their creative endeavors.
Without voiceover editing, even the best voices in the bunch can end up producing subpar content. Murf Studio offers users the opportunity to edit and fine-tune their Spanish voiceover audio files by changing the volume, adding pauses, including emphasis, and more.
For example, say you recorded an hour-long training video or podcast and forgot to mention an important detail or wish you had worded a sentence differently. Instead of re-recording the entire script, Murf Spanish text to speech accent generator enables you to find the correct sentence in your script, delete the sentence or the word you wish to remove, and type in any additional information you'd like to add.
A prominent feature of Murf Spanish voice generator is the ability for users to add background music to their videos. Murf has a library of copyright-free music that you can add to your Youtube videos, ads, and more to create captivating content.
Want to change the voiceover of your care products that is aimed towards young men in their prime from a female voiceover to a male voiceover? Murf's voice changer can help you create updated Spanish voiceovers in a matter of minutes. Simply upload your existing recording to Murf, choose a strong male AI voice that might be more suitable for your content, and render. It's that easy!
Murf makes generating text to speech in Spanish a piece of cake! Follow these four easy steps to get instant Spanish voiceovers for all use cases:
Step 1 : Begin by entering your text directly into Murf’s intuitive text to speech editor or effortlessly uploading an existing script file to the Murf studio.
Step 2: Select from an array of natural Spanish text to speech AI voices, offering both male and female voices, tailored to your content preferences.
Step 3: Customize your voiceover to perfection. Modify the speed, pauses, pitch, emphasis, and pronunciation to precisely match your desired tone. You can also enhance your voiceover with background music, images, or other multimedia elements.
Step 4: The output is automatically rendered. You can take a moment to preview your Spanish voiceover and ensure it matches your vision. Once you’re satisfied, simply download the audio or video file and captivate your audience with its authenticity and impact.
In a world that thrives on effective communication, Murf Spanish text to speech emerges as a game-changer, amplifying the impact of your content. It empowers individuals, businesses, and educators to create voiceovers that transcend boundaries and bridge gaps.
Murf's diverse array of natural-sounding Spanish AI voices , advanced customization options, and effortless integration of multimedia elements make it the go-to choice for those seeking to engage, educate, or inspire. The potential is boundless, and the results are astounding.
Ready to embark on this transformative journey? Dive into the realm of Murf’s cutting-edge Spanish text to speech technology and discover the future of voiceovers. Experience firsthand how it elevates accessibility, facilitates language learning, and revolutionizes content creation.
And here’s the exciting part you can start your journey today with our free trial! Take advantage of the full spectrum of your voiceover potential without any risk. Your path to creating powerful, lifelike Spanish voiceovers begins here!
Note: Click on the Mic icon and Start Speak.
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Note : This feature currently works only on Google Chrome browser. You can download and install Google Chrome. Download Google Chrome
Spanish (Español) voice typing is an easy method of typing. This is a very good option for those who want to write Spanish without using any keyboard. All you need is a good mic, set up the mic in your computer and start speaking, the Voice to Text typing tool will recognize your voice and automatically start typing Spanish. After voice typing, you can copy it and use it on MS Word, social media, comments, Spanish articles etc. Please share it on Facebook, Twitter and WhatsApp and help us reach more users.
Convert text to speech in Spanish accent online; free!
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Convert text to voice in Spanish online straight from your browser. Listen to our AI read your text aloud in Spanish accent in one click! No need to download software. Just type or paste your text, select a voice that you want to use, and hear your text being read aloud by our AI! It’s super easy to use, and free! You can also convert text to avatars to make your videos even more engaging.
How to convert text to speech in Spanish accent:
Upload your video or drag and drop your videos into the editor. Or generate an AI video from a text prompt.
Click Audio from the left menu and select Text to Speech. Select a language. Type or paste your text into the text field and click Add to Project. You will see an audio file in the timeline.
When you’re happy with your text-to-speech video, click on Export. Download your video or audio to your device.
‘Spanish Text to Speech’ Tutorial
Online Spanish narrator
Use VEED’s AI Spanish text-to-speech software straight from your web browser. No need to download an app. All you have to do is type your text or paste a text you’ve copied into the text field, and add the audio file to your project. Or download the MP3 (audio only). Listen to our voice generator read your text, and easily dub your video in different languages.
Spanish text reader with realistic human voices
VEED features AI voices that sound like real humans. You can select from voices with options for male and female. It will be read with correct Spanish pronunciation. Preview the voice so you can hear how it sounds before adding it to your video. Guaranteed that your text will be read by a human voice. Choose from Japanese voices, English, Arabic, and more! Convert text to voice in one click.
Edit videos from your browser
Our Spanish text-to-speech AI voice generator also has a built-in video editor. Use it to create amazing videos with your voiceovers. VEED equips you with a wide range of AI video creation tools. Create professional-looking videos in just a few clicks. Add AI avatars , animated text, and subtitles to your video. Do it all in minutes – even without editing experience!
How do you convert Spanish text to speech?
Upload your video to VEED or record one using our webcam recorder. Click Audio from the left menu and start typing or pasting your text. Select a language and voice, preview the speech, and add it to your video! It’s that simple.
How do I convert Mexican text to speech?
VEED’s text to voice software can read Spanish text including Mexican Spanish and other dialects. Once you click on Audio and Text to Speech, you can select a language and voice profile. Our AI voice changer and speaker will read your text aloud in that accent.
What is the most realistic text to speech?
VEED’s text-to-speech software features real human voices. The result is that your voiceover will not sound like robots! Plus, it’s free and you can use our built-in video editor. If you need English voiceovers, our voice cloning tool gives you the option to convert text to speech in your own voice.
Is there a limit to how much text I can convert to speech?
Currently, you can add up to 1,000 characters to convert to speech per video project.
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Loved by the Fortune 500
VEED has been game-changing. It's allowed us to create gorgeous content for social promotion and ad units with ease.
Max Alter Director of Audience Development, NBCUniversal
I love using VEED. The subtitles are the most accurate I've seen on the market. It's helped take my content to the next level.
Laura Haleydt Brand Marketing Manager, Carlsberg Importers
I used Loom to record, Rev for captions, Google for storing and Youtube to get a share link. I can now do this all in one spot with VEED.
Cedric Gustavo Ravache Enterprise Account Executive, Cloud Software Group
VEED is my one-stop video editing shop! It's cut my editing time by around 60% , freeing me to focus on my online career coaching business.
Nadeem L Entrepreneur and Owner, TheCareerCEO.com
When it comes to amazing videos, all you need is VEED
Convert text to speech
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More than a Spanish text-to-speech software
VEED lets you do so much more than just convert Spanish text to voice and in different accents. It’s an all-in-one professional video-editing software that lets you create stunning videos in just minutes. You don’t need any video editing experience. Plus, you can make use of our video templates; create videos for your business or personal use. Create sales videos, movie trailers, birthday videos, and so much more. Try VEED now and start creating videos with amazing voiceovers in just minutes!
Did you know approximately 7.6% of the global population speaks Spanish? That’s 580 million people . Spanish also has one of the largest populations of native speakers around the world (second only to Chinese).
Try Rev AI’s global speech recognition API
Rev › Blog › Resources › Transcribe › Transcribe Audio to Text › Spanish Audio & Video Transcription: Transcribe Spanish Speech to Text
That’s a whole lot of people that your brand isn’t reaching if you aren’t thinking about accessible communication in Spanish.
Now, think about if you had access to that audience of 580 million. That’s what Spanish transcription can help you do.
That’s why Rev will soon be offering both automated and human Spanish transcription services to transcribe Spanish audio. With our Spanish transcription, you’ll get the accuracy and reliability you know from our current services, but in Spanish as well. This way, you can get all your transcription needs in one place.
Can’t wait to get best-in-class Spanish speech recognition transcription? You don’t have to. Our Rev.ai global voice recognition API is already available and automatically transcribes Spanish audio to text.
For one, Spanish transcription can help your company reach a broad audience of Spanish-speakers. But that’s not all. There are several other reasons why businesses should get Spanish transcription.
Spanish closed captions make your Spanish video content more accessible to folks who are deaf or hard of hearing and read Spanish. Just as you’d convert your English audio, it’s good practice to also convert your Spanish audio.
It’s always a good idea to keep records of your meetings and interviews – and Spanish conversations are no different. With an automatic transcription software that transcribes your audio and video files, you can easily refer to the transcript and find specific points in the conversation.
SEO – one of those growing must-haves to gain organic traffic. Aside from ranking for English keywords, you can also rank for Spanish keywords.
One hack to improving your keyword search ranking? Creating transcriptions for your Spanish video and audio content.
Videos in general can be great tools to increase your organic search traffic, but adding a transcript is even better. The transcript makes it easier for Google and other search engines to pull out specific keywords from the audio. This way, the search engine can quickly know what the video is about and make it available to the right audience by appearing in relevant search results.
If you want to get fully bilingual, you can order transcripts in both Spanish and English. By having options in both English and Spanish, you can make your content work overtime for you because it can now reach both audiences.
Regardless of your medium, if you’re creating Spanish content for audio and video, Spanish transcription is a must. With our Spanish transcription services, you’ll be able to upload your audio or video and can get quick, accurate, and affordable Spanish transcription.
We combine AI and a huge community of freelancers to make speech-to-text greatness every day. Wanna hear more about it?
Get fast, accurate transcription of Spanish audio to text to produce transcripts, captions, subtitles, summaries, and more. Automatic filler word removal and a built-in AI take audio transcription further with support in Spanish, English, and other languages.
To upload a Spanish audio or video file, simply drag and drop it into a new Descript project. You will be prompted to generate a transcript where you can select Spanish as the transcription language. Descript will generate a synced transcript, capturing dialogue and "wordless media" like sounds and pauses. Descript will automatically identify and label multiple speakers if more than one is present.
By default, your transcript syncs with the editing timeline. You can delete or rearrange the text to edit the audio, easily removing filler words or repetition. To correct transcription errors, such as misspelled names, highlight the text and enter Correct mode by pressing 'C', ensuring transcript accuracy without altering the audio.
Once your Spanish transcript is refined, navigate to Publish > Export and choose your preferred export option. You can export the transcript as plain text, rich text, markdown, HTML, Word doc, or even as an SRT or VTT subtitle file. Additionally, you can publish it as a web link to share or embed the transcript alongside the audio using Descript's media player.
More articles and resources.
Other tools from descript, voice cloning, video collage maker, advertising video maker, facebook video maker, youtube video summarizer, rotate video, marketing video maker.
Seamlessly transcribe existing audio files, or transcribe in Spanish and other languages as you record in real-time with multiple speakers.
Descript transcribes audio in Spanish and other languages with up to 95% accuracy. From there, you can effortlessly remove filler words, add speaker labels, fix potential transcription errors, and make bulk corrections throughout your entire transcript.
Export your transcribed Spanish audio in your preferred format, including or excluding speaker labels, time codes, and chapter markers. Moreover, you can ask AI to turn your Spanish transcripts into blog posts, social media content, video scripts, or even translate it into other languages.
Descript uses cutting-edge artificial intelligence and machine learning to provide highly accurate transcriptions of your Spanish audio files in a matter of seconds. The transcript is synced to your audio or video recording and a built-in AI assistant to turn your transcript into so much more than a wall of text.
Absolutely! Descript allows you to generate captions and subtitle files for Spanish videos. Simply select the desired Spanish video file, transcribe the audio, and use Descript's Fancy Captions feature to seamlessly add text to your video with just a few clicks.
Far from it. Descript is an all-in-one audio and video editor. With features like automated filler word removal, voice cloning, and Studio Sound voice enhancement, Descript uses AI to streamline your entire production workflow.
Yes! Descript supports transcription in 23+ languages , including English (US), Latvian, Romanian, Catalan, Finnish, Lithuanian, Slovak, Croatian, French (FR) , Malay, Slovenian, Czech, German, Norwegian, Spanish (US) , Danish, Hungarian, Polish, Swedish, Dutch, Italian, Portuguese (BR), and Turkish. The AI can understand a variety of accents and speaking styles thanks to continual training of its speech recognition models.
Descript can transcribe WAV, MP3, AAC, AIFF, M4A, FLAC audio files.
Discover the 10 Best Speech to Text Apps in 2023
How speech to text from audio file changes business and everyday life
Utilizing advanced algorithms, SpeechFlow offers a fast and accurate Spanish speech-to-text service, transforming the way we handle voice data
To use SpeechFlow for Spanish speech-to-text, please select the local audio or video file you want to transcribe, or paste the youtube link you need to transcribe
SpeechFlow supports speech-to-text in 14 languages, you need to select the language corresponding to the audio or video file
Click the transcribe button, wait a moment, and the audio and transcription result will be displayed in a moment
Why Choose SpeechFlow for Spanish Speech-to-Text
SpeechFlow boasts six distinct advantages essential for transcription efficiency
With unrivaled precision
Support multilingual transcription
Multiple formats supported
Fast processing of audio/video
Affordable and flexible pricing
Online and API transcription mode
We truly believe in SpeechFlow's unparalleled accuracy. The results stand as testament.
SpeechFlow supports transliteration in 14 languages, and more languages are under development.
SpeechFlow supports audio and video files in almost all formats for speech to text
SpeechFlow transcribes a 1-hour audio file in under 3 minutes, offering businesses and individuals efficient and accurate transcription.
Get started with up to 5 free hours per month,no credit card require.
No credit card required to sign up
For professional users with growing volumes
For businesses with custom integrations or large volumes
Launched API transcription files and online transcription file services for enterprises and individuals.
This advanced speech to text tool can accurately and quickly help you achieve your Spanish audio and video file to text needs.
Embark on a journey of utmost precision and efficiency with SpeechFlow's cutting-edge speech to text technology. Our state-of-the-art solution empowers both enterprises and individuals to seamlessly convert spoken content into written text, transcending language barriers with support for 14 diverse languages. Embrace our comprehensive, all-in-one transcription solution through our user-friendly online platform or seamless API integration. Industry-tailored models ensure accuracy by delving into domain-specific terminologies, guaranteeing dependable transcriptions in sectors like healthcare, finance, legal, customer service, and education.
The core of SpeechFlow's prowess lies in its lightning-fast processing capability. Achieve the transcription of up to an hour of content in less than 3 minutes, revolutionizing efficiency for businesses and individuals alike. This unmatched speed, combined with affordability starting at just $0.0002 per second, positions SpeechFlow as a budget-friendly solution that charges only for actual usage. Experience the perks of speech to text transcription firsthand with our free extended trial, enhancing accessibility and convenience.
Explore unimpeded communication with SpeechFlow's versatile deployment options that extend beyond API transcription. Our user-centric approach ensures a seamless experience for individuals, both technical and non-technical alike. Aside from API integration, SpeechFlow also offers online transcription, catering to a broader user base. Simply upload local computer audio and video files or share YouTube links on our official website for effortless transcription. This user-friendly feature opens up the world of speech to text technology to everyone, regardless of technical expertise.
SpeechFlow transcends mere transcription – it's about revolutionizing communication. Elevate accessibility by reaching wider audiences through precise video transcriptions. Ensure adherence to accessibility standards, promoting inclusivity and efficacy. In the realm of speech to text technology, SpeechFlow stands as the epitome of precision, innovation, and accessibility. Join us in redefining the transformation of spoken content into text, enhancing efficiency and communication across industries and languages.
Accurate speech-to-text API for Spanish. Join SpeechFlow community and access more features!
Require clarification? Explore our frequently asked questions.
Executing online speech-to-text has been simplified with SpeechFlow.io. Here's a comprehensive step-by-step guide to performing speech-to-text online:
1.Upload your audio/video file or paste the youtube URL to SpeechFlow's workspace. Supported audio format: aac, amr, ape, flac, m4a, mp3, ogg, opus, wav, wma; video format: 3gp, asf, avi, flv, mkv, mov, mp4, mpeg, mpg, webm, wmv, rm, rmvb;
2.Choose the Spanish as your original file. Right now SpeechFlow supports various languages: English, Mandarin, Spanish, Portuguese, French, German, Italian, Russian, Turkish, Japanese, Korean, Vietnamese, Indonesian, and more;
3.Click "Transcribe" to start analyzing the audio and convert it into written text.SpeechFlow can process up to 1 hour of audio files in less than 3 minutes;
4.Review and download the transcription.
By following these three simple steps, you can effortlessly and precisely transcribe your media files into text.
1.Create API Key
After completing registration, please login to your account and generate your API Key at Dashboard-API. At 'Quick Test' of Dashboard-API, we offer a variety of programming languages (C#, Go, Java, Node.js, Php, Python, Ruby, Rust, TypeScript) to help you easily and quickly transcribe media files.
Note: for the security of your API Key Secret, the API Key Secret can only be seen once, so please be sure to save your API Key somewhere else.
2.Create Transcription Task
SpeechFlow can transcribe local files and remote files, both of which use the same Rest API.
3.Query Transcription Result
The 'query transcription result' Rest API can be polled until the transcription result is obtained;
More details on using the API can be found at Docs > Transcription API.
SpeechFlow supports the import and export of almost all audio and video files, you just need to convert your audio and video files to text via the SpeechFlow API or online transcription.
Audio format:
aac, amr, ape, flac, m4a, mp3, ogg, opus, wav, wma;
Video Format:
3gp, asf, avi, flv, mkv, mov, mp4, mpeg, mpg, webm, wmv, rm, rmvb;
Enterprises and Corporations: Large companies can utilize SpeechFlow to streamline their documentation processes, enhance operational efficiency, and improve communication. Whether it's transcribing meetings, customer interactions, or internal discussions, SpeechFlow ensures accurate and comprehensive text transcriptions.
Contact Centers: Customer service centers can extract valuable insights from customer conversations by transcribing interactions. This helps in improving customer experience, training agents, and identifying trends for better service.
Educational Institutions: Schools, colleges, and universities can transcribe lectures, seminars, and workshops for accessibility and knowledge retention. Students and educators can easily review and summarize important content.
Media and Content Creators: Journalists, content writers, and podcasters can transcribe interviews, podcasts, and videos to create written content, improve search engine optimization (SEO), and cater to a wider audience.
Conference and Event Organizers: SpeechFlow can be used to transcribe conference sessions, keynote speeches, and panel discussions, ensuring event content is accessible and shareable.
Individuals: Anyone from journalists to students, writers, and researchers can benefit from SpeechFlow's ability to convert spoken content into text, making it easier to reference, analyze, and work with audio or video material.
Transcribe the world with precision
This page lists all languages supported by Cloud Speech-to-Text. Language is specified within a recognition request's languageCode parameter. For more information about sending a recognition request and specifying the language of the transcription, see the how-to guides about performing speech recognition. For more information about the class tokens available for each language, see the class tokens page .
If you're new to Google Cloud, create an account to evaluate how Speech-to-Text performs in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
The table below lists the models available for each language. Cloud Speech-to-Text offers multiple recognition models , each tuned to different audio types. The default and command_and_search recognition models support all available languages. The command_and_search model is optimized for short audio clips, such as voice commands or voice searches. The default model can be used to transcribe any audio type.
Some languages are supported by additional models, optimized for additional audio types: enhanced phone_call , and enhanced video . These models can recognize speech captured from these audio sources more accurately than the default model. See the enhanced models page for more information. If any of these additional models are available for your language, they will be listed with the default and command_and_search models for your language. If only the default and command_and_search models are listed with your language, no additional models are currently available.
Use only the language codes shown in the following table. The following language codes are officially maintained and monitored externally by Google. Using other language codes can result in breaking changes.
( ) ( ) | ( ) ( ) ( ) ( ) |
Name | BCP-47 | Model | Automatic punctuation | Diarization | Model adaptation | Word-level confidence | Profanity filter | Spoken punctuation | Spoken emojis | |
---|---|---|---|---|---|---|---|---|---|---|
Afrikaans (South Africa) | af-ZA | False | ||||||||
Afrikaans (South Africa) | af-ZA | True | ||||||||
Afrikaans (South Africa) | af-ZA | False | ||||||||
Albanian (Albania) | sq-AL | False | ||||||||
Albanian (Albania) | sq-AL | True | ||||||||
Albanian (Albania) | sq-AL | False | ||||||||
Amharic (Ethiopia) | am-ET | False | ||||||||
Amharic (Ethiopia) | am-ET | True | ||||||||
Amharic (Ethiopia) | am-ET | False | ||||||||
Arabic (Algeria) | ar-DZ | False | ||||||||
Arabic (Algeria) | ar-DZ | True | ||||||||
Arabic (Algeria) | ar-DZ | False | ||||||||
Arabic (Algeria) | ar-DZ | False | ✔ | |||||||
Arabic (Algeria) | ar-DZ | True | ✔ | |||||||
Arabic (Algeria) | ar-DZ | False | ✔ | |||||||
Arabic (Algeria) | ar-DZ | True | ✔ | |||||||
Arabic (Bahrain) | ar-BH | False | ||||||||
Arabic (Bahrain) | ar-BH | True | ||||||||
Arabic (Bahrain) | ar-BH | False | ||||||||
Arabic (Bahrain) | ar-BH | False | ✔ | |||||||
Arabic (Bahrain) | ar-BH | True | ✔ | |||||||
Arabic (Bahrain) | ar-BH | False | ✔ | |||||||
Arabic (Bahrain) | ar-BH | True | ✔ | |||||||
Arabic (Egypt) | ar-EG | False | ||||||||
Arabic (Egypt) | ar-EG | True | ||||||||
Arabic (Egypt) | ar-EG | False | ||||||||
Arabic (Egypt) | ar-EG | False | ✔ | |||||||
Arabic (Egypt) | ar-EG | True | ✔ | |||||||
Arabic (Egypt) | ar-EG | False | ✔ | |||||||
Arabic (Egypt) | ar-EG | True | ✔ | |||||||
Arabic (Iraq) | ar-IQ | False | ||||||||
Arabic (Iraq) | ar-IQ | True | ||||||||
Arabic (Iraq) | ar-IQ | False | ||||||||
Arabic (Iraq) | ar-IQ | False | ✔ | |||||||
Arabic (Iraq) | ar-IQ | True | ✔ | |||||||
Arabic (Iraq) | ar-IQ | False | ✔ | |||||||
Arabic (Iraq) | ar-IQ | True | ✔ | |||||||
Arabic (Israel) | ar-IL | False | ||||||||
Arabic (Israel) | ar-IL | True | ||||||||
Arabic (Israel) | ar-IL | False | ||||||||
Arabic (Israel) | ar-IL | False | ✔ | |||||||
Arabic (Israel) | ar-IL | True | ✔ | |||||||
Arabic (Israel) | ar-IL | False | ✔ | |||||||
Arabic (Israel) | ar-IL | True | ✔ | |||||||
Arabic (Jordan) | ar-JO | False | ||||||||
Arabic (Jordan) | ar-JO | True | ||||||||
Arabic (Jordan) | ar-JO | False | ||||||||
Arabic (Jordan) | ar-JO | False | ✔ | |||||||
Arabic (Jordan) | ar-JO | True | ✔ | |||||||
Arabic (Jordan) | ar-JO | False | ✔ | |||||||
Arabic (Jordan) | ar-JO | True | ✔ | |||||||
Arabic (Kuwait) | ar-KW | False | ||||||||
Arabic (Kuwait) | ar-KW | True | ||||||||
Arabic (Kuwait) | ar-KW | False | ||||||||
Arabic (Kuwait) | ar-KW | False | ✔ | |||||||
Arabic (Kuwait) | ar-KW | True | ✔ | |||||||
Arabic (Kuwait) | ar-KW | False | ✔ | |||||||
Arabic (Kuwait) | ar-KW | True | ✔ | |||||||
Arabic (Lebanon) | ar-LB | False | ||||||||
Arabic (Lebanon) | ar-LB | True | ||||||||
Arabic (Lebanon) | ar-LB | False | ||||||||
Arabic (Lebanon) | ar-LB | False | ✔ | |||||||
Arabic (Lebanon) | ar-LB | True | ✔ | |||||||
Arabic (Lebanon) | ar-LB | False | ✔ | |||||||
Arabic (Lebanon) | ar-LB | True | ✔ | |||||||
Arabic (Mauritania) | ar-MR | False | ||||||||
Arabic (Mauritania) | ar-MR | True | ||||||||
Arabic (Mauritania) | ar-MR | False | ||||||||
Arabic (Mauritania) | ar-MR | False | ✔ | |||||||
Arabic (Mauritania) | ar-MR | True | ✔ | |||||||
Arabic (Mauritania) | ar-MR | False | ✔ | |||||||
Arabic (Mauritania) | ar-MR | True | ✔ | |||||||
Arabic (Morocco) | ar-MA | False | ||||||||
Arabic (Morocco) | ar-MA | True | ||||||||
Arabic (Morocco) | ar-MA | False | ||||||||
Arabic (Morocco) | ar-MA | False | ✔ | |||||||
Arabic (Morocco) | ar-MA | True | ✔ | |||||||
Arabic (Morocco) | ar-MA | False | ✔ | |||||||
Arabic (Morocco) | ar-MA | True | ✔ | |||||||
Arabic (Oman) | ar-OM | False | ||||||||
Arabic (Oman) | ar-OM | True | ||||||||
Arabic (Oman) | ar-OM | False | ||||||||
Arabic (Oman) | ar-OM | False | ✔ | |||||||
Arabic (Oman) | ar-OM | True | ✔ | |||||||
Arabic (Oman) | ar-OM | False | ✔ | |||||||
Arabic (Oman) | ar-OM | True | ✔ | |||||||
Arabic (Qatar) | ar-QA | False | ||||||||
Arabic (Qatar) | ar-QA | True | ||||||||
Arabic (Qatar) | ar-QA | False | ||||||||
Arabic (Qatar) | ar-QA | False | ✔ | |||||||
Arabic (Qatar) | ar-QA | True | ✔ | |||||||
Arabic (Qatar) | ar-QA | False | ✔ | |||||||
Arabic (Qatar) | ar-QA | True | ✔ | |||||||
Arabic (Saudi Arabia) | ar-SA | False | ||||||||
Arabic (Saudi Arabia) | ar-SA | True | ||||||||
Arabic (Saudi Arabia) | ar-SA | False | ||||||||
Arabic (Saudi Arabia) | ar-SA | False | ✔ | |||||||
Arabic (Saudi Arabia) | ar-SA | True | ✔ | |||||||
Arabic (Saudi Arabia) | ar-SA | False | ✔ | |||||||
Arabic (Saudi Arabia) | ar-SA | True | ✔ | |||||||
Arabic (State of Palestine) | ar-PS | False | ||||||||
Arabic (State of Palestine) | ar-PS | True | ||||||||
Arabic (State of Palestine) | ar-PS | False | ||||||||
Arabic (State of Palestine) | ar-PS | False | ✔ | |||||||
Arabic (State of Palestine) | ar-PS | True | ✔ | |||||||
Arabic (State of Palestine) | ar-PS | False | ✔ | |||||||
Arabic (State of Palestine) | ar-PS | True | ✔ | |||||||
Arabic (Syria) | ar-SY | False | ||||||||
Arabic (Syria) | ar-SY | True | ||||||||
Arabic (Syria) | ar-SY | False | ||||||||
Arabic (Tunisia) | ar-TN | False | ||||||||
Arabic (Tunisia) | ar-TN | True | ||||||||
Arabic (Tunisia) | ar-TN | False | ||||||||
Arabic (Tunisia) | ar-TN | False | ✔ | |||||||
Arabic (Tunisia) | ar-TN | True | ✔ | |||||||
Arabic (Tunisia) | ar-TN | False | ✔ | |||||||
Arabic (Tunisia) | ar-TN | True | ✔ | |||||||
Arabic (United Arab Emirates) | ar-AE | False | ||||||||
Arabic (United Arab Emirates) | ar-AE | True | ||||||||
Arabic (United Arab Emirates) | ar-AE | False | ||||||||
Arabic (United Arab Emirates) | ar-AE | False | ✔ | |||||||
Arabic (United Arab Emirates) | ar-AE | True | ✔ | |||||||
Arabic (United Arab Emirates) | ar-AE | False | ✔ | |||||||
Arabic (United Arab Emirates) | ar-AE | True | ✔ | |||||||
Arabic (Yemen) | ar-YE | False | ||||||||
Arabic (Yemen) | ar-YE | True | ||||||||
Arabic (Yemen) | ar-YE | False | ||||||||
Arabic (Yemen) | ar-YE | False | ✔ | |||||||
Arabic (Yemen) | ar-YE | True | ✔ | |||||||
Arabic (Yemen) | ar-YE | False | ✔ | |||||||
Arabic (Yemen) | ar-YE | True | ✔ | |||||||
Armenian (Armenia) | hy-AM | False | ||||||||
Armenian (Armenia) | hy-AM | True | ||||||||
Armenian (Armenia) | hy-AM | False | ||||||||
Azerbaijani (Azerbaijan) | az-AZ | False | ||||||||
Azerbaijani (Azerbaijan) | az-AZ | True | ||||||||
Azerbaijani (Azerbaijan) | az-AZ | False | ||||||||
Basque (Spain) | eu-ES | False | ||||||||
Basque (Spain) | eu-ES | True | ||||||||
Basque (Spain) | eu-ES | False | ||||||||
Bengali (Bangladesh) | bn-BD | False | ||||||||
Bengali (Bangladesh) | bn-BD | True | ||||||||
Bengali (Bangladesh) | bn-BD | False | ||||||||
Bengali (Bangladesh) | bn-BD | False | ||||||||
Bengali (Bangladesh) | bn-BD | True | ||||||||
Bengali (Bangladesh) | bn-BD | False | ||||||||
Bengali (Bangladesh) | bn-BD | True | ||||||||
Bengali (India) | bn-IN | False | ||||||||
Bengali (India) | bn-IN | True | ||||||||
Bengali (India) | bn-IN | False | ||||||||
Bosnian (Bosnia and Herzegovina) | bs-BA | False | ||||||||
Bosnian (Bosnia and Herzegovina) | bs-BA | True | ||||||||
Bosnian (Bosnia and Herzegovina) | bs-BA | False | ||||||||
Bulgarian (Bulgaria) | bg-BG | False | ||||||||
Bulgarian (Bulgaria) | bg-BG | True | ||||||||
Bulgarian (Bulgaria) | bg-BG | False | ||||||||
Bulgarian (Bulgaria) | bg-BG | False | ||||||||
Bulgarian (Bulgaria) | bg-BG | True | ||||||||
Bulgarian (Bulgaria) | bg-BG | False | ||||||||
Bulgarian (Bulgaria) | bg-BG | True | ||||||||
Burmese (Myanmar) | my-MM | False | ||||||||
Burmese (Myanmar) | my-MM | True | ||||||||
Burmese (Myanmar) | my-MM | False | ||||||||
Catalan (Spain) | ca-ES | False | ||||||||
Catalan (Spain) | ca-ES | True | ||||||||
Catalan (Spain) | ca-ES | False | ||||||||
Chinese (Simplified, China) | cmn-Hans-CN | False | ✔ | |||||||
Chinese (Simplified, China) | cmn-Hans-CN | True | ✔ | |||||||
Chinese (Simplified, China) | cmn-Hans-CN | False | ✔ | |||||||
Chinese (Simplified, Hong Kong) | cmn-Hans-HK | False | ✔ | |||||||
Chinese (Simplified, Hong Kong) | cmn-Hans-HK | True | ✔ | |||||||
Chinese (Simplified, Hong Kong) | cmn-Hans-HK | False | ✔ | |||||||
Chinese (Traditional, Taiwan) | cmn-Hant-TW | False | ✔ | |||||||
Chinese (Traditional, Taiwan) | cmn-Hant-TW | True | ✔ | |||||||
Chinese (Traditional, Taiwan) | cmn-Hant-TW | False | ✔ | |||||||
Chinese, Cantonese (Traditional Hong Kong) | yue-Hant-HK | False | ||||||||
Chinese, Cantonese (Traditional Hong Kong) | yue-Hant-HK | True | ||||||||
Chinese, Cantonese (Traditional Hong Kong) | yue-Hant-HK | False | ||||||||
Croatian (Croatia) | hr-HR | False | ||||||||
Croatian (Croatia) | hr-HR | True | ||||||||
Croatian (Croatia) | hr-HR | False | ||||||||
Czech (Czech Republic) | cs-CZ | False | ✔ | |||||||
Czech (Czech Republic) | cs-CZ | True | ✔ | |||||||
Czech (Czech Republic) | cs-CZ | False | ✔ | |||||||
Czech (Czech Republic) | cs-CZ | False | ✔ | |||||||
Czech (Czech Republic) | cs-CZ | True | ✔ | |||||||
Czech (Czech Republic) | cs-CZ | False | ✔ | |||||||
Czech (Czech Republic) | cs-CZ | True | ✔ | |||||||
Danish (Denmark) | da-DK | False | ✔ | |||||||
Danish (Denmark) | da-DK | True | ✔ | |||||||
Danish (Denmark) | da-DK | False | ✔ | |||||||
Danish (Denmark) | da-DK | False | ✔ | |||||||
Danish (Denmark) | da-DK | True | ✔ | |||||||
Danish (Denmark) | da-DK | False | ✔ | |||||||
Danish (Denmark) | da-DK | True | ✔ | |||||||
Dutch (Belgium) | nl-BE | False | ||||||||
Dutch (Belgium) | nl-BE | True | ||||||||
Dutch (Belgium) | nl-BE | False | ||||||||
Dutch (Belgium) | nl-BE | False | ✔ | |||||||
Dutch (Belgium) | nl-BE | False | ✔ | |||||||
Dutch (Netherlands) | nl-NL | False | ||||||||
Dutch (Netherlands) | nl-NL | True | ||||||||
Dutch (Netherlands) | nl-NL | False | ||||||||
Dutch (Netherlands) | nl-NL | False | ✔ | |||||||
Dutch (Netherlands) | nl-NL | True | ✔ | |||||||
Dutch (Netherlands) | nl-NL | False | ✔ | |||||||
Dutch (Netherlands) | nl-NL | True | ✔ | |||||||
Dutch (Netherlands) | nl-NL | False | ✔ | |||||||
Dutch (Netherlands) | nl-NL | True | ✔ | |||||||
Dutch (Netherlands) | nl-NL | False | ✔ | |||||||
Dutch (Netherlands) | nl-NL | True | ✔ | |||||||
English (Australia) | en-AU | False | ✔ | |||||||
English (Australia) | en-AU | True | ✔ | |||||||
English (Australia) | en-AU | False | ✔ | |||||||
English (Australia) | en-AU | False | ✔ | |||||||
English (Australia) | en-AU | True | ✔ | |||||||
English (Australia) | en-AU | False | ✔ | |||||||
English (Australia) | en-AU | True | ✔ | |||||||
English (Australia) | en-AU | False | ✔ | |||||||
English (Australia) | en-AU | False | ✔ | |||||||
English (Australia) | en-AU | True | ✔ | |||||||
English (Australia) | en-AU | False | ✔ | |||||||
English (Australia) | en-AU | True | ✔ | |||||||
English (Canada) | en-CA | False | ||||||||
English (Canada) | en-CA | True | ||||||||
English (Canada) | en-CA | False | ||||||||
English (Canada) | en-CA | False | ✔ | |||||||
English (Canada) | en-CA | True | ✔ | |||||||
English (Canada) | en-CA | False | ✔ | |||||||
English (Canada) | en-CA | True | ✔ | |||||||
English (Ghana) | en-GH | False | ||||||||
English (Ghana) | en-GH | True | ||||||||
English (Ghana) | en-GH | False | ||||||||
English (Hong Kong) | en-HK | False | ||||||||
English (Hong Kong) | en-HK | True | ||||||||
English (Hong Kong) | en-HK | False | ||||||||
English (Hong Kong) | en-HK | False | ✔ | |||||||
English (Hong Kong) | en-HK | False | ✔ | |||||||
English (India) | en-IN | False | ✔ | |||||||
English (India) | en-IN | True | ✔ | |||||||
English (India) | en-IN | False | ✔ | |||||||
English (India) | en-IN | False | ✔ | |||||||
English (India) | en-IN | True | ✔ | |||||||
English (India) | en-IN | False | ✔ | |||||||
English (India) | en-IN | True | ✔ | |||||||
English (India) | en-IN | False | ✔ | |||||||
English (India) | en-IN | True | ✔ | |||||||
English (India) | en-IN | False | ✔ | |||||||
English (India) | en-IN | True | ✔ | |||||||
English (Ireland) | en-IE | False | ||||||||
English (Ireland) | en-IE | True | ||||||||
English (Ireland) | en-IE | False | ||||||||
English (Ireland) | en-IE | False | ✔ | |||||||
English (Ireland) | en-IE | False | ✔ | |||||||
English (Kenya) | en-KE | False | ||||||||
English (Kenya) | en-KE | True | ||||||||
English (Kenya) | en-KE | False | ||||||||
English (New Zealand) | en-NZ | False | ||||||||
English (New Zealand) | en-NZ | True | ||||||||
English (New Zealand) | en-NZ | False | ||||||||
English (New Zealand) | en-NZ | False | ✔ | |||||||
English (New Zealand) | en-NZ | False | ✔ | |||||||
English (Nigeria) | en-NG | False | ||||||||
English (Nigeria) | en-NG | True | ||||||||
English (Nigeria) | en-NG | False | ||||||||
English (Pakistan) | en-PK | False | ||||||||
English (Pakistan) | en-PK | True | ||||||||
English (Pakistan) | en-PK | False | ||||||||
English (Pakistan) | en-PK | False | ✔ | |||||||
English (Pakistan) | en-PK | False | ✔ | |||||||
English (Philippines) | en-PH | False | ||||||||
English (Philippines) | en-PH | True | ||||||||
English (Philippines) | en-PH | False | ||||||||
English (Singapore) | en-SG | False | ✔ | |||||||
English (Singapore) | en-SG | True | ✔ | |||||||
English (Singapore) | en-SG | False | ✔ | |||||||
English (Singapore) | en-SG | False | ✔ | |||||||
English (Singapore) | en-SG | False | ✔ | |||||||
English (South Africa) | en-ZA | False | ||||||||
English (South Africa) | en-ZA | True | ||||||||
English (South Africa) | en-ZA | False | ||||||||
English (Tanzania) | en-TZ | False | ||||||||
English (Tanzania) | en-TZ | True | ||||||||
English (Tanzania) | en-TZ | False | ||||||||
English (United Kingdom) | en-GB | False | ✔ | |||||||
English (United Kingdom) | en-GB | True | ✔ | |||||||
English (United Kingdom) | en-GB | False | ✔ | |||||||
English (United Kingdom) | en-GB | False | ✔ | |||||||
English (United Kingdom) | en-GB | True | ✔ | |||||||
English (United Kingdom) | en-GB | False | ✔ | |||||||
English (United Kingdom) | en-GB | True | ✔ | |||||||
English (United Kingdom) | en-GB | False | ✔ | |||||||
English (United Kingdom) | en-GB | False | ✔ | |||||||
English (United Kingdom) | en-GB | True | ✔ | |||||||
English (United Kingdom) | en-GB | False | ✔ | |||||||
English (United Kingdom) | en-GB | True | ✔ | |||||||
English (United States) | en-US | False | ✔ | |||||||
English (United States) | en-US | True | ✔ | |||||||
English (United States) | en-US | False | ✔ | |||||||
English (United States) | en-US | False | ✔ | |||||||
English (United States) | en-US | True | ✔ | |||||||
English (United States) | en-US | False | ✔ | |||||||
English (United States) | en-US | True | ✔ | |||||||
English (United States) | en-US | False | ✔ | |||||||
English (United States) | en-US | False | ✔ | |||||||
English (United States) | en-US | False | ✔ | |||||||
English (United States) | en-US | False | ✔ | |||||||
English (United States) | en-US | True | ✔ | |||||||
English (United States) | en-US | False | ✔ | |||||||
English (United States) | en-US | True | ✔ | |||||||
English (United States) | en-US | False | ✔ | |||||||
Estonian (Estonia) | et-EE | False | ||||||||
Estonian (Estonia) | et-EE | True | ||||||||
Estonian (Estonia) | et-EE | False | ||||||||
Filipino (Philippines) | fil-PH | False | ||||||||
Filipino (Philippines) | fil-PH | True | ||||||||
Filipino (Philippines) | fil-PH | False | ||||||||
Finnish (Finland) | fi-FI | False | ✔ | |||||||
Finnish (Finland) | fi-FI | True | ✔ | |||||||
Finnish (Finland) | fi-FI | False | ✔ | |||||||
Finnish (Finland) | fi-FI | False | ✔ | |||||||
Finnish (Finland) | fi-FI | True | ✔ | |||||||
Finnish (Finland) | fi-FI | False | ✔ | |||||||
Finnish (Finland) | fi-FI | True | ✔ | |||||||
French (Belgium) | fr-BE | False | ||||||||
French (Belgium) | fr-BE | True | ||||||||
French (Belgium) | fr-BE | False | ||||||||
French (Belgium) | fr-BE | False | ✔ | |||||||
French (Belgium) | fr-BE | False | ✔ | |||||||
French (Canada) | fr-CA | False | ||||||||
French (Canada) | fr-CA | True | ||||||||
French (Canada) | fr-CA | False | ||||||||
French (Canada) | fr-CA | False | ||||||||
French (Canada) | fr-CA | True | ||||||||
French (Canada) | fr-CA | False | ||||||||
French (Canada) | fr-CA | True | ||||||||
French (Canada) | fr-CA | False | ||||||||
French (Canada) | fr-CA | False | ||||||||
French (Canada) | fr-CA | True | ||||||||
French (Canada) | fr-CA | False | ||||||||
French (Canada) | fr-CA | True | ||||||||
French (France) | fr-FR | False | ✔ | |||||||
French (France) | fr-FR | True | ✔ | |||||||
French (France) | fr-FR | False | ✔ | |||||||
French (France) | fr-FR | False | ✔ | |||||||
French (France) | fr-FR | True | ✔ | |||||||
French (France) | fr-FR | False | ✔ | |||||||
French (France) | fr-FR | True | ✔ | |||||||
French (France) | fr-FR | False | ✔ | |||||||
French (France) | fr-FR | False | ✔ | |||||||
French (France) | fr-FR | True | ✔ | |||||||
French (France) | fr-FR | False | ✔ | |||||||
French (France) | fr-FR | True | ✔ | |||||||
French (Switzerland) | fr-CH | False | ||||||||
French (Switzerland) | fr-CH | True | ||||||||
French (Switzerland) | fr-CH | False | ||||||||
French (Switzerland) | fr-CH | False | ✔ | |||||||
French (Switzerland) | fr-CH | False | ✔ | |||||||
Galician (Spain) | gl-ES | False | ||||||||
Galician (Spain) | gl-ES | True | ||||||||
Galician (Spain) | gl-ES | False | ||||||||
Georgian (Georgia) | ka-GE | False | ||||||||
Georgian (Georgia) | ka-GE | True | ||||||||
Georgian (Georgia) | ka-GE | False | ||||||||
German (Austria) | de-AT | False | ||||||||
German (Austria) | de-AT | True | ||||||||
German (Austria) | de-AT | False | ||||||||
German (Austria) | de-AT | False | ✔ | |||||||
German (Austria) | de-AT | False | ✔ | |||||||
German (Germany) | de-DE | False | ✔ | |||||||
German (Germany) | de-DE | True | ✔ | |||||||
German (Germany) | de-DE | False | ✔ | |||||||
German (Germany) | de-DE | False | ✔ | |||||||
German (Germany) | de-DE | True | ✔ | |||||||
German (Germany) | de-DE | False | ✔ | |||||||
German (Germany) | de-DE | True | ✔ | |||||||
German (Germany) | de-DE | False | ✔ | |||||||
German (Germany) | de-DE | False | ✔ | |||||||
German (Germany) | de-DE | True | ✔ | |||||||
German (Germany) | de-DE | False | ✔ | |||||||
German (Germany) | de-DE | True | ✔ | |||||||
German (Switzerland) | de-CH | False | ||||||||
German (Switzerland) | de-CH | True | ||||||||
German (Switzerland) | de-CH | False | ||||||||
German (Switzerland) | de-CH | False | ✔ | |||||||
German (Switzerland) | de-CH | False | ✔ | |||||||
Greek (Greece) | el-GR | False | ||||||||
Greek (Greece) | el-GR | True | ||||||||
Greek (Greece) | el-GR | False | ||||||||
Gujarati (India) | gu-IN | False | ||||||||
Gujarati (India) | gu-IN | True | ||||||||
Gujarati (India) | gu-IN | False | ||||||||
Hebrew (Israel) | iw-IL | False | ||||||||
Hebrew (Israel) | iw-IL | True | ||||||||
Hebrew (Israel) | iw-IL | False | ||||||||
Hindi (India) | hi-IN | False | ||||||||
Hindi (India) | hi-IN | True | ||||||||
Hindi (India) | hi-IN | False | ||||||||
Hindi (India) | hi-IN | False | ✔ | |||||||
Hindi (India) | hi-IN | True | ✔ | |||||||
Hindi (India) | hi-IN | False | ✔ | |||||||
Hindi (India) | hi-IN | True | ✔ | |||||||
Hindi (India) | hi-IN | False | ✔ | |||||||
Hindi (India) | hi-IN | True | ✔ | |||||||
Hindi (India) | hi-IN | False | ✔ | |||||||
Hindi (India) | hi-IN | True | ✔ | |||||||
Hungarian (Hungary) | hu-HU | False | ||||||||
Hungarian (Hungary) | hu-HU | True | ||||||||
Hungarian (Hungary) | hu-HU | False | ||||||||
Hungarian (Hungary) | hu-HU | False | ||||||||
Hungarian (Hungary) | hu-HU | True | ||||||||
Hungarian (Hungary) | hu-HU | False | ||||||||
Hungarian (Hungary) | hu-HU | True | ||||||||
Icelandic (Iceland) | is-IS | False | ||||||||
Icelandic (Iceland) | is-IS | True | ||||||||
Icelandic (Iceland) | is-IS | False | ||||||||
Indonesian (Indonesia) | id-ID | False | ✔ | |||||||
Indonesian (Indonesia) | id-ID | True | ✔ | |||||||
Indonesian (Indonesia) | id-ID | False | ✔ | |||||||
Indonesian (Indonesia) | id-ID | False | ✔ | |||||||
Indonesian (Indonesia) | id-ID | True | ✔ | |||||||
Indonesian (Indonesia) | id-ID | False | ✔ | |||||||
Indonesian (Indonesia) | id-ID | True | ✔ | |||||||
Italian (Italy) | it-IT | False | ✔ | |||||||
Italian (Italy) | it-IT | True | ✔ | |||||||
Italian (Italy) | it-IT | False | ✔ | |||||||
Italian (Italy) | it-IT | False | ✔ | |||||||
Italian (Italy) | it-IT | True | ✔ | |||||||
Italian (Italy) | it-IT | False | ✔ | |||||||
Italian (Italy) | it-IT | True | ✔ | |||||||
Italian (Italy) | it-IT | False | ✔ | |||||||
Italian (Italy) | it-IT | False | ✔ | |||||||
Italian (Italy) | it-IT | True | ✔ | |||||||
Italian (Italy) | it-IT | False | ✔ | |||||||
Italian (Italy) | it-IT | True | ✔ | |||||||
Italian (Switzerland) | it-CH | False | ||||||||
Italian (Switzerland) | it-CH | True | ||||||||
Italian (Switzerland) | it-CH | False | ||||||||
Italian (Switzerland) | it-CH | False | ✔ | |||||||
Italian (Switzerland) | it-CH | False | ✔ | |||||||
Japanese (Japan) | ja-JP | False | ✔ | |||||||
Japanese (Japan) | ja-JP | True | ✔ | |||||||
Japanese (Japan) | ja-JP | False | ✔ | |||||||
Japanese (Japan) | ja-JP | False | ✔ | |||||||
Japanese (Japan) | ja-JP | True | ✔ | |||||||
Japanese (Japan) | ja-JP | False | ✔ | |||||||
Japanese (Japan) | ja-JP | True | ✔ | |||||||
Japanese (Japan) | ja-JP | False | ✔ | |||||||
Japanese (Japan) | ja-JP | False | ✔ | |||||||
Japanese (Japan) | ja-JP | True | ✔ | |||||||
Japanese (Japan) | ja-JP | False | ✔ | |||||||
Japanese (Japan) | ja-JP | True | ✔ | |||||||
Javanese (Indonesia) | jv-ID | False | ||||||||
Javanese (Indonesia) | jv-ID | True | ||||||||
Javanese (Indonesia) | jv-ID | False | ||||||||
Kannada (India) | kn-IN | False | ||||||||
Kannada (India) | kn-IN | True | ||||||||
Kannada (India) | kn-IN | False | ||||||||
Kannada (India) | kn-IN | False | ||||||||
Kannada (India) | kn-IN | True | ||||||||
Kannada (India) | kn-IN | False | ||||||||
Kannada (India) | kn-IN | True | ||||||||
Kazakh (Kazakhstan) | kk-KZ | False | ||||||||
Kazakh (Kazakhstan) | kk-KZ | True | ||||||||
Kazakh (Kazakhstan) | kk-KZ | False | ||||||||
Khmer (Cambodia) | km-KH | False | ||||||||
Khmer (Cambodia) | km-KH | True | ||||||||
Khmer (Cambodia) | km-KH | False | ||||||||
Khmer (Cambodia) | km-KH | False | ||||||||
Khmer (Cambodia) | km-KH | True | ||||||||
Khmer (Cambodia) | km-KH | False | ||||||||
Khmer (Cambodia) | km-KH | True | ||||||||
Kinyarwanda (Rwanda) | rw-RW | False | ||||||||
Kinyarwanda (Rwanda) | rw-RW | True | ||||||||
Kinyarwanda (Rwanda) | rw-RW | False | ||||||||
Kinyarwanda (Rwanda) | rw-RW | True | ||||||||
Korean (South Korea) | ko-KR | False | ✔ | |||||||
Korean (South Korea) | ko-KR | True | ✔ | |||||||
Korean (South Korea) | ko-KR | False | ✔ | |||||||
Korean (South Korea) | ko-KR | False | ✔ | |||||||
Korean (South Korea) | ko-KR | True | ✔ | |||||||
Korean (South Korea) | ko-KR | False | ✔ | |||||||
Korean (South Korea) | ko-KR | True | ✔ | |||||||
Korean (South Korea) | ko-KR | False | ✔ | |||||||
Korean (South Korea) | ko-KR | True | ✔ | |||||||
Korean (South Korea) | ko-KR | False | ✔ | |||||||
Korean (South Korea) | ko-KR | True | ✔ | |||||||
Lao (Laos) | lo-LA | False | ||||||||
Lao (Laos) | lo-LA | True | ||||||||
Lao (Laos) | lo-LA | False | ||||||||
Latvian (Latvia) | lv-LV | False | ||||||||
Latvian (Latvia) | lv-LV | True | ||||||||
Latvian (Latvia) | lv-LV | False | ||||||||
Lithuanian (Lithuania) | lt-LT | False | ||||||||
Lithuanian (Lithuania) | lt-LT | True | ||||||||
Lithuanian (Lithuania) | lt-LT | False | ||||||||
Macedonian (North Macedonia) | mk-MK | False | ||||||||
Macedonian (North Macedonia) | mk-MK | True | ||||||||
Macedonian (North Macedonia) | mk-MK | False | ||||||||
Macedonian (North Macedonia) | mk-MK | False | ||||||||
Macedonian (North Macedonia) | mk-MK | True | ||||||||
Macedonian (North Macedonia) | mk-MK | False | ||||||||
Macedonian (North Macedonia) | mk-MK | True | ||||||||
Malay (Malaysia) | ms-MY | False | ||||||||
Malay (Malaysia) | ms-MY | True | ||||||||
Malay (Malaysia) | ms-MY | False | ||||||||
Malayalam (India) | ml-IN | False | ||||||||
Malayalam (India) | ml-IN | True | ||||||||
Malayalam (India) | ml-IN | False | ||||||||
Malayalam (India) | ml-IN | False | ||||||||
Malayalam (India) | ml-IN | True | ||||||||
Malayalam (India) | ml-IN | False | ||||||||
Malayalam (India) | ml-IN | True | ||||||||
Marathi (India) | mr-IN | False | ||||||||
Marathi (India) | mr-IN | True | ||||||||
Marathi (India) | mr-IN | False | ||||||||
Marathi (India) | mr-IN | False | ||||||||
Marathi (India) | mr-IN | True | ||||||||
Marathi (India) | mr-IN | False | ||||||||
Marathi (India) | mr-IN | True | ||||||||
Mongolian (Mongolia) | mn-MN | False | ||||||||
Mongolian (Mongolia) | mn-MN | True | ||||||||
Mongolian (Mongolia) | mn-MN | False | ||||||||
Nepali (Nepal) | ne-NP | False | ||||||||
Nepali (Nepal) | ne-NP | True | ||||||||
Nepali (Nepal) | ne-NP | False | ||||||||
Norwegian Bokmål (Norway) | no-NO | False | ||||||||
Norwegian Bokmål (Norway) | no-NO | True | ||||||||
Norwegian Bokmål (Norway) | no-NO | False | ||||||||
Norwegian Bokmål (Norway) | no-NO | False | ||||||||
Norwegian Bokmål (Norway) | no-NO | True | ||||||||
Norwegian Bokmål (Norway) | no-NO | False | ||||||||
Norwegian Bokmål (Norway) | no-NO | True | ||||||||
Persian (Iran) | fa-IR | False | ||||||||
Persian (Iran) | fa-IR | True | ||||||||
Persian (Iran) | fa-IR | False | ||||||||
Polish (Poland) | pl-PL | False | ||||||||
Polish (Poland) | pl-PL | True | ||||||||
Polish (Poland) | pl-PL | False | ||||||||
Polish (Poland) | pl-PL | False | ||||||||
Polish (Poland) | pl-PL | True | ||||||||
Polish (Poland) | pl-PL | False | ||||||||
Polish (Poland) | pl-PL | True | ||||||||
Portuguese (Brazil) | pt-BR | False | ||||||||
Portuguese (Brazil) | pt-BR | True | ||||||||
Portuguese (Brazil) | pt-BR | False | ||||||||
Portuguese (Brazil) | pt-BR | False | ✔ | |||||||
Portuguese (Brazil) | pt-BR | True | ✔ | |||||||
Portuguese (Brazil) | pt-BR | False | ✔ | |||||||
Portuguese (Brazil) | pt-BR | True | ✔ | |||||||
Portuguese (Brazil) | pt-BR | False | ✔ | |||||||
Portuguese (Brazil) | pt-BR | False | ✔ | |||||||
Portuguese (Brazil) | pt-BR | True | ✔ | |||||||
Portuguese (Brazil) | pt-BR | False | ✔ | |||||||
Portuguese (Brazil) | pt-BR | True | ✔ | |||||||
Portuguese (Portugal) | pt-PT | False | ||||||||
Portuguese (Portugal) | pt-PT | True | ||||||||
Portuguese (Portugal) | pt-PT | False | ||||||||
Portuguese (Portugal) | pt-PT | False | ||||||||
Portuguese (Portugal) | pt-PT | True | ||||||||
Portuguese (Portugal) | pt-PT | False | ||||||||
Portuguese (Portugal) | pt-PT | True | ||||||||
Portuguese (Portugal) | pt-PT | False | ||||||||
Portuguese (Portugal) | pt-PT | True | ||||||||
Portuguese (Portugal) | pt-PT | False | ||||||||
Portuguese (Portugal) | pt-PT | True | ||||||||
Punjabi (Gurmukhi India) | pa-Guru-IN | False | ||||||||
Punjabi (Gurmukhi India) | pa-Guru-IN | True | ||||||||
Punjabi (Gurmukhi India) | pa-Guru-IN | False | ||||||||
Romanian (Romania) | ro-RO | False | ||||||||
Romanian (Romania) | ro-RO | True | ||||||||
Romanian (Romania) | ro-RO | False | ||||||||
Romanian (Romania) | ro-RO | False | ||||||||
Romanian (Romania) | ro-RO | True | ||||||||
Romanian (Romania) | ro-RO | False | ||||||||
Romanian (Romania) | ro-RO | True | ||||||||
Russian (Russia) | ru-RU | False | ||||||||
Russian (Russia) | ru-RU | True | ||||||||
Russian (Russia) | ru-RU | False | ||||||||
Russian (Russia) | ru-RU | False | ✔ | |||||||
Russian (Russia) | ru-RU | True | ✔ | |||||||
Russian (Russia) | ru-RU | False | ✔ | |||||||
Russian (Russia) | ru-RU | True | ✔ | |||||||
Russian (Russia) | ru-RU | False | ✔ | |||||||
Serbian (Serbia) | sr-RS | False | ||||||||
Serbian (Serbia) | sr-RS | True | ||||||||
Serbian (Serbia) | sr-RS | False | ||||||||
Sinhala (Sri Lanka) | si-LK | False | ||||||||
Sinhala (Sri Lanka) | si-LK | True | ||||||||
Sinhala (Sri Lanka) | si-LK | False | ||||||||
Slovak (Slovakia) | sk-SK | False | ||||||||
Slovak (Slovakia) | sk-SK | True | ||||||||
Slovak (Slovakia) | sk-SK | False | ||||||||
Slovenian (Slovenia) | sl-SI | False | ||||||||
Slovenian (Slovenia) | sl-SI | True | ||||||||
Slovenian (Slovenia) | sl-SI | False | ||||||||
Southern Sotho (South Africa) | st-ZA | False | ||||||||
Southern Sotho (South Africa) | st-ZA | True | ||||||||
Southern Sotho (South Africa) | st-ZA | False | ||||||||
Southern Sotho (South Africa) | st-ZA | True | ||||||||
Spanish (Argentina) | es-AR | False | ||||||||
Spanish (Argentina) | es-AR | True | ||||||||
Spanish (Argentina) | es-AR | False | ||||||||
Spanish (Argentina) | es-AR | False | ✔ | |||||||
Spanish (Bolivia) | es-BO | False | ||||||||
Spanish (Bolivia) | es-BO | True | ||||||||
Spanish (Bolivia) | es-BO | False | ||||||||
Spanish (Bolivia) | es-BO | False | ✔ | |||||||
Spanish (Chile) | es-CL | False | ||||||||
Spanish (Chile) | es-CL | True | ||||||||
Spanish (Chile) | es-CL | False | ||||||||
Spanish (Chile) | es-CL | False | ✔ | |||||||
Spanish (Colombia) | es-CO | False | ||||||||
Spanish (Colombia) | es-CO | True | ||||||||
Spanish (Colombia) | es-CO | False | ||||||||
Spanish (Colombia) | es-CO | False | ✔ | |||||||
Spanish (Costa Rica) | es-CR | False | ||||||||
Spanish (Costa Rica) | es-CR | True | ||||||||
Spanish (Costa Rica) | es-CR | False | ||||||||
Spanish (Costa Rica) | es-CR | False | ✔ | |||||||
Spanish (Dominican Republic) | es-DO | False | ||||||||
Spanish (Dominican Republic) | es-DO | True | ||||||||
Spanish (Dominican Republic) | es-DO | False | ||||||||
Spanish (Dominican Republic) | es-DO | False | ✔ | |||||||
Spanish (Ecuador) | es-EC | False | ||||||||
Spanish (Ecuador) | es-EC | True | ||||||||
Spanish (Ecuador) | es-EC | False | ||||||||
Spanish (Ecuador) | es-EC | False | ✔ | |||||||
Spanish (El Salvador) | es-SV | False | ||||||||
Spanish (El Salvador) | es-SV | True | ||||||||
Spanish (El Salvador) | es-SV | False | ||||||||
Spanish (El Salvador) | es-SV | False | ✔ | |||||||
Spanish (Guatemala) | es-GT | False | ||||||||
Spanish (Guatemala) | es-GT | True | ||||||||
Spanish (Guatemala) | es-GT | False | ||||||||
Spanish (Guatemala) | es-GT | False | ✔ | |||||||
Spanish (Honduras) | es-HN | False | ||||||||
Spanish (Honduras) | es-HN | True | ||||||||
Spanish (Honduras) | es-HN | False | ||||||||
Spanish (Honduras) | es-HN | False | ✔ | |||||||
Spanish (Mexico) | es-MX | False | ||||||||
Spanish (Mexico) | es-MX | True | ||||||||
Spanish (Mexico) | es-MX | False | ||||||||
Spanish (Mexico) | es-MX | False | ✔ | |||||||
Spanish (Nicaragua) | es-NI | False | ||||||||
Spanish (Nicaragua) | es-NI | True | ||||||||
Spanish (Nicaragua) | es-NI | False | ||||||||
Spanish (Nicaragua) | es-NI | False | ✔ | |||||||
Spanish (Panama) | es-PA | False | ||||||||
Spanish (Panama) | es-PA | True | ||||||||
Spanish (Panama) | es-PA | False | ||||||||
Spanish (Panama) | es-PA | False | ✔ | |||||||
Spanish (Paraguay) | es-PY | False | ||||||||
Spanish (Paraguay) | es-PY | True | ||||||||
Spanish (Paraguay) | es-PY | False | ||||||||
Spanish (Peru) | es-PE | False | ||||||||
Spanish (Peru) | es-PE | True | ||||||||
Spanish (Peru) | es-PE | False | ||||||||
Spanish (Peru) | es-PE | False | ✔ | |||||||
Spanish (Puerto Rico) | es-PR | False | ||||||||
Spanish (Puerto Rico) | es-PR | True | ||||||||
Spanish (Puerto Rico) | es-PR | False | ||||||||
Spanish (Puerto Rico) | es-PR | False | ✔ | |||||||
Spanish (Spain) | es-ES | False | ||||||||
Spanish (Spain) | es-ES | True | ||||||||
Spanish (Spain) | es-ES | False | ||||||||
Spanish (Spain) | es-ES | False | ✔ | |||||||
Spanish (Spain) | es-ES | True | ✔ | |||||||
Spanish (Spain) | es-ES | False | ✔ | |||||||
Spanish (Spain) | es-ES | True | ✔ | |||||||
Spanish (Spain) | es-ES | False | ||||||||
Spanish (Spain) | es-ES | False | ✔ | |||||||
Spanish (Spain) | es-ES | True | ✔ | |||||||
Spanish (Spain) | es-ES | False | ✔ | |||||||
Spanish (Spain) | es-ES | True | ✔ | |||||||
Spanish (United States) | es-US | False | ✔ | |||||||
Spanish (United States) | es-US | True | ✔ | |||||||
Spanish (United States) | es-US | False | ✔ | |||||||
Spanish (United States) | es-US | False | ✔ | |||||||
Spanish (United States) | es-US | True | ✔ | |||||||
Spanish (United States) | es-US | False | ✔ | |||||||
Spanish (United States) | es-US | True | ✔ | |||||||
Spanish (United States) | es-US | False | ✔ | |||||||
Spanish (United States) | es-US | True | ✔ | |||||||
Spanish (United States) | es-US | False | ✔ | |||||||
Spanish (United States) | es-US | True | ✔ | |||||||
Spanish (Uruguay) | es-UY | False | ||||||||
Spanish (Uruguay) | es-UY | True | ||||||||
Spanish (Uruguay) | es-UY | False | ||||||||
Spanish (Uruguay) | es-UY | False | ✔ | |||||||
Spanish (Venezuela) | es-VE | False | ||||||||
Spanish (Venezuela) | es-VE | True | ||||||||
Spanish (Venezuela) | es-VE | False | ||||||||
Spanish (Venezuela) | es-VE | False | ✔ | |||||||
Sundanese (Indonesia) | su-ID | False | ||||||||
Sundanese (Indonesia) | su-ID | True | ||||||||
Sundanese (Indonesia) | su-ID | False | ||||||||
Swahili (Kenya) | sw-KE | False | ||||||||
Swahili (Kenya) | sw-KE | True | ||||||||
Swahili (Kenya) | sw-KE | False | ||||||||
Swahili (Tanzania) | sw-TZ | False | ||||||||
Swahili (Tanzania) | sw-TZ | True | ||||||||
Swahili (Tanzania) | sw-TZ | False | ||||||||
Swati (Latin, South Africa) | ss-Latn-ZA | False | ||||||||
Swati (Latin, South Africa) | ss-Latn-ZA | True | ||||||||
Swati (Latin, South Africa) | ss-Latn-ZA | False | ||||||||
Swati (Latin, South Africa) | ss-Latn-ZA | True | ||||||||
Swedish (Sweden) | sv-SE | False | ✔ | |||||||
Swedish (Sweden) | sv-SE | True | ✔ | |||||||
Swedish (Sweden) | sv-SE | False | ✔ | |||||||
Swedish (Sweden) | sv-SE | False | ✔ | |||||||
Swedish (Sweden) | sv-SE | True | ✔ | |||||||
Swedish (Sweden) | sv-SE | False | ✔ | |||||||
Swedish (Sweden) | sv-SE | True | ✔ | |||||||
Tamil (India) | ta-IN | False | ||||||||
Tamil (India) | ta-IN | True | ||||||||
Tamil (India) | ta-IN | False | ||||||||
Tamil (India) | ta-IN | False | ||||||||
Tamil (India) | ta-IN | True | ||||||||
Tamil (India) | ta-IN | False | ||||||||
Tamil (India) | ta-IN | True | ||||||||
Tamil (Malaysia) | ta-MY | False | ||||||||
Tamil (Malaysia) | ta-MY | True | ||||||||
Tamil (Malaysia) | ta-MY | False | ||||||||
Tamil (Singapore) | ta-SG | False | ||||||||
Tamil (Singapore) | ta-SG | True | ||||||||
Tamil (Singapore) | ta-SG | False | ||||||||
Tamil (Sri Lanka) | ta-LK | False | ||||||||
Tamil (Sri Lanka) | ta-LK | True | ||||||||
Tamil (Sri Lanka) | ta-LK | False | ||||||||
Telugu (India) | te-IN | False | ||||||||
Telugu (India) | te-IN | True | ||||||||
Telugu (India) | te-IN | False | ||||||||
Telugu (India) | te-IN | False | ||||||||
Telugu (India) | te-IN | True | ||||||||
Telugu (India) | te-IN | False | ||||||||
Telugu (India) | te-IN | True | ||||||||
Thai (Thailand) | th-TH | False | ||||||||
Thai (Thailand) | th-TH | True | ||||||||
Thai (Thailand) | th-TH | False | ||||||||
Thai (Thailand) | th-TH | False | ||||||||
Thai (Thailand) | th-TH | True | ||||||||
Thai (Thailand) | th-TH | False | ||||||||
Thai (Thailand) | th-TH | True | ||||||||
Tsonga (South Africa) | ts-ZA | False | ||||||||
Tsonga (South Africa) | ts-ZA | True | ||||||||
Tsonga (South Africa) | ts-ZA | False | ||||||||
Tsonga (South Africa) | ts-ZA | True | ||||||||
Tswana (Latin, South Africa) | tn-Latn-ZA | False | ||||||||
Tswana (Latin, South Africa) | tn-Latn-ZA | True | ||||||||
Tswana (Latin, South Africa) | tn-Latn-ZA | False | ||||||||
Tswana (Latin, South Africa) | tn-Latn-ZA | True | ||||||||
Turkish (Turkey) | tr-TR | False | ✔ | |||||||
Turkish (Turkey) | tr-TR | True | ✔ | |||||||
Turkish (Turkey) | tr-TR | False | ✔ | |||||||
Turkish (Turkey) | tr-TR | False | ✔ | |||||||
Turkish (Turkey) | tr-TR | True | ✔ | |||||||
Turkish (Turkey) | tr-TR | False | ✔ | |||||||
Turkish (Turkey) | tr-TR | True | ✔ | |||||||
Ukrainian (Ukraine) | uk-UA | False | ||||||||
Ukrainian (Ukraine) | uk-UA | True | ||||||||
Ukrainian (Ukraine) | uk-UA | False | ||||||||
Ukrainian (Ukraine) | uk-UA | False | ||||||||
Ukrainian (Ukraine) | uk-UA | True | ||||||||
Ukrainian (Ukraine) | uk-UA | False | ||||||||
Ukrainian (Ukraine) | uk-UA | True | ||||||||
Urdu (India) | ur-IN | False | ||||||||
Urdu (India) | ur-IN | True | ||||||||
Urdu (India) | ur-IN | False | ||||||||
Urdu (Pakistan) | ur-PK | False | ||||||||
Urdu (Pakistan) | ur-PK | True | ||||||||
Urdu (Pakistan) | ur-PK | False | ||||||||
Uzbek (Uzbekistan) | uz-UZ | False | ||||||||
Uzbek (Uzbekistan) | uz-UZ | True | ||||||||
Uzbek (Uzbekistan) | uz-UZ | False | ||||||||
Venda (South Africa) | ve-ZA | False | ||||||||
Venda (South Africa) | ve-ZA | True | ||||||||
Venda (South Africa) | ve-ZA | False | ||||||||
Venda (South Africa) | ve-ZA | True | ||||||||
Vietnamese (Vietnam) | vi-VN | False | ||||||||
Vietnamese (Vietnam) | vi-VN | True | ||||||||
Vietnamese (Vietnam) | vi-VN | False | ||||||||
Vietnamese (Vietnam) | vi-VN | False | ✔ | |||||||
Vietnamese (Vietnam) | vi-VN | True | ✔ | |||||||
Vietnamese (Vietnam) | vi-VN | False | ✔ | |||||||
Vietnamese (Vietnam) | vi-VN | True | ✔ | |||||||
Xhosa (South Africa) | xh-ZA | False | ||||||||
Xhosa (South Africa) | xh-ZA | True | ||||||||
Xhosa (South Africa) | xh-ZA | False | ||||||||
Xhosa (South Africa) | xh-ZA | True | ||||||||
Zulu (South Africa) | zu-ZA | False | ||||||||
Zulu (South Africa) | zu-ZA | True | ||||||||
Zulu (South Africa) | zu-ZA | False |
* | Language tags follow the . |
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Reporting by Nandita Bose and Gabriella Borter; Additional reporting by Jim Oliphant; Editing by Scott Malone, Heather Timmons and Alistair Bell
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Thomson Reuters
Gabriella Borter is a reporter on the U.S. National Affairs team, covering cultural and political issues as well as breaking news. She has won two Front Page Awards from the Newswomen’s Club of New York - in 2020 for her beat reporting on healthcare workers during the COVID-19 pandemic, and in 2019 for her spot story on the firing of the police officer who killed Eric Garner. The latter was also a Deadline Club Awards finalist. She holds a B.A. in English from Yale University and joined Reuters in 2017.
Pulitzer Prize winning author Jhumpa Lahiri declined to accept an award from New York City's Noguchi Museum after it fired three employees for wearing keffiyeh head scarves, an emblem of Palestinian solidarity, following an updated dress code.
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Keir starmer delivers speech at the un as labour members expose rift in party over winter fuel payment cuts, article bookmarked.
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Sir Keir Starmer has delivered his first speech as prime minister to world leaders at the United Nations in the US after leaving the Labour Party conference.
He used his address to the UN Security Council to promise that his government will deliver “global leadership” as the Middle East teeters on the brink of all-out conflict and the bloody war in Ukraine grinds on.
On a tough week after calling for the return of “sausages” in Gaza during a conference gaffe, Sir Keir has been defeated in a vote to reverse the cut to the winter fuel payments .
The non-binding motion, named An Economy for the Future and tabled by Sharon Graham of the Unite union and the Communication Workers Union (CWU), was passed by a show of hands in a rowdy hall at the Labour Party annual conference.
In a show of defiance, Unite’s general secretary Sharon Graham called Labour members to rebel against the policy as she shouted: “This is not what people voted for.”
The motion called for means testing of the winter fuel allowance to be scrapped and for an end to fiscal rules which prevent borrowing to invest, as well as the introduction of a wealth tax.e
Starmer is now being asked by Nick Robinson whether the “trade off” of Starmer’s migration policy will make businesses not able to fill roles if they can’t employ foreign workers.
The prime minister insisted he’s “not going to chop your legs off by saying you can’t have the workers you need now”.
He said: “But I’m not going to tolerate this year after year after year.”
Instead, he plans a “skills strategy” that makes the UK “less reliant” on migration.
“And I’m actually convinced that if businesses work with local leaders according to a growth plan that we can achieve that,” he added.
Though Labour’s fingers were burned badly by the winter fuel row, the government must once again grapple with another controversial policy to pave the way for growth, writes Andrew Grice:
Though Labour’s fingers were burned badly by the winter fuel row, the government must once again grapple with another controversial policy to pave the way for growth, writes Andrew Grice
Scotland’s economy is “recovering steadily”, Deputy First Minister Kate Forbes said as figures showed GDP rose 0.3% in July.
The latest monthly data shows the economy grew in July after experiencing no growth in June.
The Scottish government figures show that overall in the three months to July, GDP was estimated to be up 0.3% on the previous three months.
However this was down from the 0.6% growth recorded over the period April to June.
Ms Forbes, who is also the economy secretary, said: “These figures show that Scotland’s economy is recovering steadily, having grown over the last two quarters.”
She said it was “particularly encouraging” that manufacturing and information and communications services had increased their output in July, as she vowed the Government is “stepping up action to drive economic growth”.
She added: “Our Programme for government and Green Industrial Strategy set out measures to support start-ups, reduce barriers to investment and work in partnership with businesses.”
Sir Keir Starmer has told pensioners they will be better off under Labour despite axing the winter fuel payment for millions of elderly people.
Asked for his message to pensioners who have lost their winter fuel allowance, the prime minister told BBC Radio 4’s Today programme: “So what I’m saying is this, that economic stability is the number one, most important first step.
“That that will only happen we deal with £22 billion pound black hole that we will. This was not on the books. I could pretend it’s not there, I could walk past it. In my view, that would risk losing control of the economy.
“By tackling it, we can commit to, among other things, the triple lock. Every pensioner will be better off under a Labour government.”
Sir Keir will today face a motion from angry unions to reverse the controversial winter fuel allowance cuts.
Delegates at the Labour Party Conference in Liverpool have voted to reverse the government’s controversial cut to winter fuel payments, in a blow to Sir Keir Starmer.
While motions at the party conference are non-binding, and the government is not required to respond to them, the vote highlights major division within the party over the controversial policy.
In July, Rachel Reeves announced that older people not in receipt of pension credits or other means-tested benefits will no longer receive winter fuel payments from this year onwards.
The decision came as part of a series of spending cuts to address a black hole in the public finances left by the previous Conservative government announced in July by the chancellor.
You can read the full story below:
While motions at the party conference are non-binding, and the government is not required to respond to them, the vote highlights major division within the party over the controversial policy
The PM was so statesmanlike that he even managed to make sausages sound like an extra policy commitment. This was Starmer’s day, writes Joe Murphy:
The PM was so statesmanlike that he even managed to make sausages sound like an extra policy commitment. This was Starmer’s day, writes Joe Murphy
Health secretary Wes Streeting has confirmed Labour is considering a ban on smoking outside pubs.
He told Sky News: “We definitely want to see smoking phased out in our country, we committed to that in our manifesto.
“We want to make sure this generation of children are the healthiest generation that ever lived and therefore they will never be able to legally buy cigarettes.
“We are looking at a range of other measures to also help people who are currently smoking to quit, and also to deal with the scourge of second-hand smoke and passive smoking, which is also harmful. We’ll be setting out our proposals on that shortly.”
Asked if he will ban smoking outside pubs, he said: “Look, that’s one of the measures that I’m considering, and I’m up for a national debate on this issue.
“We have got to do two things – reform the health service, but also reform public health, because we might be living longer, but we’re becoming sicker sooner and there is a heavy price being paid for that in our economy, our public finances and in our own health.”
The health secretary has called for a “national debate” about the prospect of banning smoking outside pubs.
A restriction is being considered by the government as part of a range of measures which will be set out shortly, Wes Streeting said.
Ministers are examining what can be done to help smokers quit and to “deal with the scourge of second hand smoke and passive smoke,” he said.
“We definitely want to see smoking phased out in our country, we committed to that in our manifesto,” Mr Streeting told Sky News.
“We are looking at a range of other measures to also help people who are currently smoking to quit and also to deal with the scourge of second-hand smoke and passive smoking, which is also harmful. We’ll be setting out our proposals on that shortly.”
Sir Keir Starmer’s address to the 2024 Labour Party Conference saw him promise to rebuild Britain “brick by brick” after fourteen years of Tory government, telling conference delegates his government will create a “Britain that belongs to you”.
But what exactly was announced? We look at the key developments from the prime minister’s speech below.
From a Hillsborough law to new legislation to tackle benefit fraud, what exactly was announced in Sir Keir Starmer’s speech to the Labour Party Conference in Liverpool?
Sir Keir Starmer mistakenly called for the “return of the sausages” in a major speech at Labour’s annual party conference in Liverpool on Tuesday, 24 September. The prime minister was calling for restraint and de-escalation between Lebanon and Israel, a ceasefire in Gaza, and the return of hostages taken by Hamas on October 7 as well as “a recognised Palestinian state alongside a safe and secure Israel.” However, he accidentally said “sausages” before quickly correcting himself to say “hostages” instead.
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In his last speech as president before the United Nations General Assembly, Joe Biden called on nations Tuesday to band together amid the spiraling conflict in the Middle East, Russia’s ongoing war in Ukraine and growing global concerns about China’s influence.
"I truly believe we’re at another inflection point in world history. The choices we make today will determine our future," Biden said.
He said Russian President Vladimir Putin, for example, has "failed" at his goal of destroying Ukraine and NATO. "But Ukraine is free," Biden said. "NATO is bigger, stronger, more united than ever before, with two new members: Finland and Sweden."He said the world cannot let up in its protection of Ukraine against Russian aggression.
Biden detailed Hamas' attack on Israel on Oct. 7, which killed 1,200 people and included acts of sexual violence and the taking of many people into Gaza as hostages. In response, he said, innocent civilians in Gaza have experienced “hell” as Israel has sought to fight back against Hamas. He said the U.S. has put forward a cease-fire proposal that has been endorsed by the U.N. Security Council, which he called on the parties to finalize.
"A diplomatic solution is still possible. In fact, it remains the only path to lasting security," said Biden, who also criticized the violence against innocent Palestinians in the West Bank and the need to strive for a two-state solution between Israel and Palestinians. Biden said Gaza is "not the only conflict that deserves outrage," saying Sudan is embroiled in a civil war in which millions of people are on the brink of famine and hundreds of thousands are already suffering from it. "The world needs to stop arming these generals," he said, adding that nations need to speak with one voice and demand that the war end.
Biden spent several minutes toward the end of his speech focusing on artificial intelligence, saying it will change our ways of life, ways of work and ways of war. Biden said countries must ensure that AI supports, rather than undermines, because it can "uplift and empower everyday people."
Biden finished his remarks by sharing his decision over the summer to exit the presidential race and not seek re-election. "Let us never forget, some things are more important than staying in power," he said. "It's your people that matter the most. ... We are here to serve the people — not the other way around." Biden said that "every age faces its challenges" and that he has witnessed moments of tension and uncertainty in his decades of public service, referring to the Cold War, the Vietnam War and the wars in the Middle East.
But, he argued, there's always a "way forward."
"Things can get better," he said. "We should never forget that. I've seen that throughout my career."
His speech comes against the backdrop of the presidential race on its final leg before Election Day, knowing that his successor — Vice President Kamala Harris or former President Donald Trump — will face the same issues in the White House and may deal with them very differently.They were also Biden’s first remarks before the General Assembly since Hamas’ attack on Israel in October and the conflict that has ensued in Gaza, killing thousands of civilians. He spoke to the leaders of other nations as hope for a cease-fire deal between Israel and Hamas has dimmed.
As Israel continues its battle with Hamas, its conflict with Iran-backed Hezbollah has also escalated in recent days. On Monday, Israel launched airstrikes on neighboring Lebanon , whose government said nearly 500 people were killed and more than 1,600 were injured in Lebanon’s deadliest day of conflict with Israel since 2006. Israel also issued evacuation warnings to people living in its northern region to escape the violence near the border.
National Security Council spokesman John Kirby had told reporters last week that Biden would “reaffirm America’s leadership on the world stage” and “rally global action to tackle the world’s most pressing challenges.” They include, he said, climate change, artificial intelligence, the opioid epidemic and the wars in Gaza, Ukraine and Sudan .Kirby said Biden would meet with U.N. Secretary-General António Guterres to “talk about how the partnership between the United States and United Nations in advancing peace and safeguarding human rights can endure and to — prosper.” Kirby said Biden will have engagements with foreign leaders Wednesday.
Biden is also scheduled to host a summit of a coalition to address synthetic drug threats, including the supply chain of illicit fentanyl. Republicans have often accused him of not doing enough to tackle the problem as part of the strategy at the U.S.-Mexico border.
Other key speakers expected at the General Assembly include Iran’s new president, Masoud Pezeshkian ; Ukrainian President Volodymyr Zelenskyy; Palestinian Authority President Mahmoud Abbas; and Israeli Prime Minister Benjamin Netanyahu .
Biden administration officials have been involved in negotiating a cease-fire agreement between Israel and Hamas for months, though progress appears to have diminished. Defense Department spokeswoman Sabrina Singh told reporters last week: “We do not believe that the deal is falling apart. We believe that that is the best way to end the war that’s happening in Gaza and to lower those tensions in the region.” Still, there have been no recent signs of a breakthrough.
Biden also addressed his administration's 2021 withdrawal from Afghanistan, over which he has faced ongoing criticism from GOP lawmakers. Congressional Republicans who have been investigating the pullout recently released a scathing report . The administration and Democrats, on the other hand, have largely blamed Trump for what unfolded during the withdrawal.
Biden said Tuesday that "13 brave Americans lost their lives, along with hundreds of Afghans in a suicide bomb," referring to the attack at the Kabul airport. He said he thinks of those lost lives every day, the 2,461 U.S. troops who died during the 20-year war and the more than 20,000 Americans who were wounded. "I think of their service, their sacrifice and their heroism," he said.
Biden kicked off the week of global engagements near his hometown, Wilmington, Delaware, where he hosted the leaders of Australia, India and Japan on Saturday for a meeting of a security grouping known as the Quad .Though officials say the Quad is not aimed at any particular country and China was not explicitly mentioned in the four leaders’ joint statement after the summit, Secretary of State Antony Blinken began the closed-door meeting by saying, “Our first topic of discussion is China.”
Biden then said, “China continues to behave aggressively, testing us all across the region,” in comments that were briefly caught on hot mics after journalists were escorted from the room.
In his speech Tuesday before the U.N., Biden briefly mentioned China, the world’s second-largest economy, and reiterated U.S. policy, which is to "responsibly manage the competition with China so it does not veer into conflict."
Asked about Blinken’s and Biden’s comments Monday, a Chinese Foreign Affairs Ministry spokesperson said that the U.S. is “lying through its teeth” when it says it is not targeting China and that groupings such as the Quad undermine regional peace and stability.
Biden announced various initiatives during the summit, including a “cancer moonshot” partnership with the other countries to save lives in the Indo-Pacific region.
Rebecca Shabad is a politics reporter for NBC News based in Washington.
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PITTSBURGH (AP) — Vice President Kamala Harris on Wednesday pledged to build an economy that is both pro-business and helps the middle class as she pushed back against Republican nominee Donald Trump ’s claims that she’s advancing “communist” ideas.
The Democratic nominee said in remarks at the Economic Club of Pittsburgh in battleground Pennsylvania that she “would take good ideas from wherever they come” as she promised to double the number of people being trained in registered apprenticeships and outlined her support for more home ownership.
Watch the event in the player above.
“As president, I will be grounded in my fundamental values of fairness, dignity and opportunity,” Harris said. “And I promise you, I will be pragmatic in my approach.”
Little more than a hour before her speech, Trump offered his own competing vision of the economy while visiting a furnituremaker in Mint Hill, North Carolina. He defended his idea for a special lower tax rate for U.S. manufacturers and pledged to impose tariffs high enough that there would be an “exodus” of auto factory jobs from Japan, Germany and South Korea.
“I’m imposing tariffs on your competition from foreign countries, all these foreign countries that have ripped us off, which stole all of your businesses and all of your jobs years ago,” Trump said.
The dueling speeches by the two candidates reflected how they’re honing their economic messages for voters in battleground states. Both are trying to counter criticism while laying out their best cases for a public that still worries about the economy’s health. Trump is focused on the idea of U.S. dominance over foreign competitors, while Harris is stressing the importance of supporting the middle class and entrepreneurs.
Harris’ remarks focused on her broader philosophy and what she’s trying to achieve for the economy, whereas Trump’s speech was more freestyle, including insinuations about the two assassination attempts against him.
Trump said the corporate tax rate would drop from 21 percent to 15 percent for companies that make their products domestically if he were elected. The Republican nominee suggested that his support for broad tariffs as high as 20 percent have made him an international target.
“This is why people in countries want to kill me,” he said. “They’re not happy with me.”
The candidates are each emphasizing the economy at a time when polls show that it is one of the most important issues for voters as they consider who to support. A recent AP-NORC poll found that neither candidate has a decisive edge with the public on the issue.
READ MORE: AP-NORC poll shows voters are split on whether Harris or Trump would do a better job on the economy
Both say their own approach will do more to ensure that the U.S. economy — and not China’s — leads the world in this century. Both are eager to embrace an image as a tax cutter and are accusing the other of backing massive tax hikes on the middle class. It’s a meaningful shift in messaging as inflation concerns have ebbed somewhat with the Federal Reserve cutting its benchmark interest rates last week.
Harris rebutted Trump by saying that she is a capitalist who believes in an “active partnership between government and the private sector.” She said Trump has “no intention to grow our middle class — he’s only interested in making life better for himself and people like himself.”
The Democratic nominee plans to provide $100 billion worth of tax breaks and other incentives to build up U.S. manufacturing and emerging technologies, according to a person familiar with her plans who provided details on the condition of anonymity. She has a forthcoming brochure to outline her vision for the economy.
Elsewhere, billionaire Mark Cuban said business leaders like him are backing Harris because she has taken considered stances that companies can understand even when they have a different perspective.
“I want a president that for business goes into details and has a policy team that understands all the ramifications of what’s been proposed,” Cuban said on a Tuesday call with reporters set up by the Harris campaign.
The Harris campaign’s efforts to show business support have overlapped with Trump’s in offering a host of populist ideas. In addition to wanting no taxes on tips , Social Security or overtime pay, Trump wants to limit the interest rate on credit cards to 10 percent and set up low-tax zones on federal lands to lure employers. Trump also wants to ditch the cap on the deduction of state and local taxes that he put into the tax code in 2017 while president.
WATCH: Economists explain hidden downfalls of ending taxes on tips
Both candidates see an opportunity to trash the other’s tax ideas. Trump recently dubbed Harris the “tax queen.” She wants to raise the corporate tax rate to 28 percent from 21 percent as well as tax the unrealized capital gains of people worth more than $100 million. She would use the revenue from that and other policies to sustain tax cuts for the middle class that are set to expire after 2025 as well as offer new tax breaks to parents and entrepreneurs. Many of her policies build on ideas initially proposed by President Joe Biden.
Trump claims her tax hikes would ultimately trickle down to the middle class.
“She’s coming for your money,” he told an audience on Monday. “She’s coming for your pensions, and she’s coming for your savings.”
Harris has shown that two can play that game. She labeled his call for tariffs a “national sales tax,” as it could increase the cost of coffee, clothes, electronics, autos and almost anything that gets imported or depends on imported parts.
Her campaign likes to cite an analysis that originated with Brendan Duke of the Center for American Progress that estimated a 20 percent universal tariff would cost a typical family almost $4,000 a year. For taxpayers in the middle-income range, that sum would effectively increase their total federal taxes by 50 percent, according to calculations based on Treasury Department data.
Trump has long portrayed himself as someone who will slash regulations, but Harris said Wednesday that she would do likewise because “whether it’s a new housing development, a new factory or a new bridge, projects take too long to go from concept to reality.”
“China is not moving slowly,” Harris said. She added that she would reform permitting and cut red tape because “patience may be a virtue, but not when it comes to job creation or America’s competitiveness.”
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Keir Starmer's speech may have been light on policy - but answered (some) questions; UK nationals told to leave Lebanon immediately as 700 troops sent to Cyprus; Key Points.
In his speech Tuesday before the U.N., Biden briefly mentioned China, the world's second-largest economy, and reiterated U.S. policy, which is to "responsibly manage the competition with China ...
Vice President Kamala Harris is set to speak at the Economic Club of Pittsburgh, where she plans to stress a "pragmatic" philosophy while outlining new policies to boost domestic manufacturing ...
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