Languages & voices
Build multilingual voice experiences with Privocio's speech-to-text API. Transcribe audio across 100 supported languages with one developer-friendly platform.
When I build voice features, I do not want them to work only for English users. Real products are global. Users speak different languages, switch between accents, record audio in noisy environments, and expect voice technology to simply understand them. That is why global voice to text matters.
Search and browse all 100 supported languages. Each entry includes the language name, Whisper language code, and STT support status.
100 of 100 languages
| Flag | Language | Code | STT |
|---|---|---|---|
 | Afrikaans | af | Supported |
 | Albanian | sq | Supported |
 | Amharic | am | Supported |
 | Arabic | ar | Supported |
 | Armenian | hy | Supported |
 | Assamese | as | Supported |
 | Azerbaijani | az | Supported |
 | Bashkir | ba | Supported |
 | Basque | eu | Supported |
 | Belarusian | be | Supported |
 | Bengali | bn | Supported |
 | Bosnian | bs | Supported |
 | Breton | br | Supported |
 | Bulgarian | bg | Supported |
 | Cantonese | yue | Supported |
| Catalan | ca | Supported |
 | Chinese | zh | Supported |
 | Croatian | hr | Supported |
 | Czech | cs | Supported |
 | Danish | da | Supported |
 | Dutch | nl | Supported |
 | English | en | Supported |
 | Estonian | et | Supported |
 | Faroese | fo | Supported |
 | Finnish | fi | Supported |
| French | fr | Supported |
| Galician | gl | Supported |
 | Georgian | ka | Supported |
 | German | de | Supported |
 | Greek | el | Supported |
| Gujarati | gu | Supported |
 | Haitian Creole | ht | Supported |
 | Hausa | ha | Supported |
 | Hawaiian | haw | Supported |
 | Hebrew | he | Supported |
| Hindi | hi | Supported |
 | Hungarian | hu | Supported |
 | Icelandic | is | Supported |
 | Indonesian | id | Supported |
 | Italian | it | Supported |
 | Japanese | ja | Supported |
| Javanese | jw | Supported |
| Kannada | kn | Supported |
 | Kazakh | kk | Supported |
 | Khmer | km | Supported |
 | Korean | ko | Supported |
 | Lao | lo | Supported |
 | Latin | la | Supported |
 | Latvian | lv | Supported |
 | Lingala | ln | Supported |
 | Lithuanian | lt | Supported |
 | Luxembourgish | lb | Supported |
 | Macedonian | mk | Supported |
 | Malagasy | mg | Supported |
 | Malay | ms | Supported |
| Malayalam | ml | Supported |
 | Maltese | mt | Supported |
 | Maori | mi | Supported |
| Marathi | mr | Supported |
 | Mongolian | mn | Supported |
 | Myanmar | my | Supported |
 | Nepali | ne | Supported |
 | Norwegian | no | Supported |
| Norwegian Nynorsk | nn | Supported |
| Occitan | oc | Supported |
 | Pashto | ps | Supported |
 | Persian | fa | Supported |
 | Polish | pl | Supported |
 | Portuguese | pt | Supported |
| Punjabi | pa | Supported |
 | Romanian | ro | Supported |
| Russian | ru | Supported |
| Sanskrit | sa | Supported |
 | Serbian | sr | Supported |
 | Shona | sn | Supported |
 | Sindhi | sd | Supported |
 | Sinhala | si | Supported |
 | Slovak | sk | Supported |
 | Slovenian | sl | Supported |
 | Somali | so | Supported |
| Spanish | es | Supported |
| Sundanese | su | Supported |
 | Swahili | sw | Supported |
 | Swedish | sv | Supported |
 | Tagalog | tl | Supported |
 | Tajik | tg | Supported |
| Tamil | ta | Supported |
| Tatar | tt | Supported |
| Telugu | te | Supported |
 | Thai | th | Supported |
| Tibetan | bo | Supported |
 | Turkish | tr | Supported |
 | Turkmen | tk | Supported |
 | Ukrainian | uk | Supported |
| Urdu | ur | Supported |
 | Uzbek | uz | Supported |
 | Vietnamese | vi | Supported |
 | Welsh | cy | Supported |
| Yiddish | yi | Supported |
| Yoruba | yo | Supported |
When I build voice features, I do not want them to work only for English users.
Real products are global. Users speak different languages, switch between accents, record audio in noisy environments, and expect voice technology to simply understand them.
That is why global voice to text matters.
Many speech-to-text systems are still designed around one language, one region, or one narrow use case. That quickly becomes a problem when your users speak English, German, Spanish, French, Arabic, Hindi, Chinese, Japanese, Portuguese, Dutch, Polish, Turkish, or any other supported language.
I see multilingual voice to text as infrastructure. It should not be something you rebuild every time you enter a new market. It should be part of the platform from the start.
With Privocio, you can support multilingual transcription through one global speech-to-text API and build products that feel more accessible to users around the world.
Privocio's language support is designed for developers and teams that need practical, production-ready transcription.
You can use it for:
Instead of treating multilingual support as an extra feature, Privocio makes it part of the core speech-to-text workflow. Try the free transcription tool or explore pricing when you are ready to scale.
Let users talk to AI agents in their own language.
This makes agents easier to use, especially when users need to explain complex tasks, long instructions, or detailed context.
Typing long instructions is slow. Speaking is faster, more natural, and often gives the AI more context.
Transcribe support calls, voice messages, and customer recordings across different languages.
This helps teams summarize issues, route tickets, detect recurring problems, and create searchable support histories.
Remote teams often work across countries and languages.
A multilingual voice-to-text system can turn meetings, interviews, and internal discussions into usable written records.
In sensitive industries, accurate transcription and privacy are both important.
A privacy-first speech-to-text API can help teams process audio while keeping control over their infrastructure and workflows.
Add voice input to apps, dashboards, tools, and automations without building speech recognition infrastructure yourself.
Learn more about speech-to-text for AI agents and privacy-first transcription for sensitive workflows.
The main advantage of a global voice-to-text API is simplicity.
You do not need a different provider for every language. You do not need separate transcription logic for every region. You can build one integration and support many languages through the same API structure.
That makes the developer experience much easier:
This is especially useful when your product needs to scale beyond one country. See the API documentation for request examples, or jump to authentication and API keys to get started.
If your app already knows the user's selected language, region, or account setting, you can use that information when sending the transcription request.
Example language codes:
endeesfritptarhizhjaIntegrate with the Python speech-to-text API or the JavaScript STT API. For live audio, see streaming transcription.
AI agents become much more useful when users can speak instead of typing.
A user can explain a task in German, describe a support issue in Spanish, record meeting notes in English, or give a workflow instruction in French.
A multilingual speech-to-text API turns that spoken input into text, so the AI agent can understand it and act on it.
That is why I think voice to text is not just a transcription feature. It is becoming a core part of how people will interact with software. Read more about AI agent voice transcription.
Language support is important, but privacy matters just as much.
Voice data can be sensitive. It may contain business information, personal details, customer conversations, medical information, legal discussions, or internal company context.
Privocio is built with a privacy-first approach, so teams can use speech-to-text infrastructure without treating audio data casually. Learn about privacy-first transcription and the private speech-to-text API.
For companies that need more control, self-hosted deployment can also be an important option.
Global voice to text means converting spoken audio into written text across many different languages. It allows products to support users from different countries, regions, and language backgrounds through one speech-to-text system.
Privocio supports 100 languages for Speech-to-Text. The language list includes the language name, language code, and STT support status.
Yes. Privocio can be used to transcribe audio in many supported languages, making it useful for global products, AI agents, customer support, meeting tools, and internal workflows.
Yes. AI agents benefit from multilingual speech-to-text because users can speak naturally in their own language instead of typing long prompts.
If you know the spoken language, it is a good idea to pass the language code. This makes the transcription request more explicit and can improve consistency.
No. Privocio supports 100 speech-to-text languages, so it is suitable for multilingual and international products.
Yes. That is the main benefit of a multilingual speech-to-text API. You can build one voice integration and support many languages through the same platform.
Add multilingual speech-to-text to your app, AI agent, chatbot, or internal workflow with one developer-friendly API.