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EnglishHow Many Languages Does Rev AI Support for Speech-to-Text?
Updated
Rev AI supports 57+ languages for speech-to-text, according to the company's own product pages. That figure applies to both pre-recorded file transcription and real-time streaming transcription, and Rev AI states that it maintains consistently low word error rates (WER) across that language set rather than only in English.
What the 57+ languages cover
Rev AI describes its language coverage as "global," with the stated goal of letting teams serve customers in new markets without retraining or switching providers. Two details matter when you're evaluating that number:
- Context-aware translation. Beyond transcription, Rev AI offers translation that accounts for context, so a transcript in one language can be rendered into another as part of the same pipeline.
- Accent and background coverage. Rev AI claims its WER is significantly lower than competitors across ethnic background, nationality, gender, and accent — not just across languages. That's a separate claim from language count, and it's the one that usually determines real-world accuracy.
Why the language count isn't the whole story
A raw language count tells you what's available, not how well each language performs. Three things are worth checking before you commit:
| Question | Why it matters |
|---|---|
| Is my specific language on the list? | "57+" is a floor, not a guarantee for your locale. |
| What's the WER for my language and accent? | Accuracy varies by language and by speaker population. |
| Does my use case need streaming or async? | Both are offered, but confirm your language is supported in the mode you need. |
Rev AI publishes benchmark results and a full language list, so the practical move is to check your target language against those pages rather than relying on the headline number.
How to verify coverage for your use case
- Check the language list. Rev AI's site has a dedicated languages page listing supported languages.
- Review benchmark results. The published WER benchmarks let you compare accuracy rather than assume it.
- Test with your own audio. The most reliable signal is running a sample of your actual recordings — including your speakers' accents — through the API and measuring errors yourself.
- Confirm the mode. If you need real-time transcription, verify your language is supported in the streaming API, not just the async one.
The bottom line
If your question is simply "how many languages," the answer is 57+, with context-aware translation and a stated commitment to low WER across all of them. If your question is "will it work well for my language and speakers," the count alone won't answer that — check the language list and benchmarks, then test with your own audio before deciding.