Cohere Transcribe
Shares rank 11 of 25 speech recognition models by recommenders
Open-source Apache 2.0 speech-to-text model that people find accurate, fast and competitive on benchmarks. Critics say its quality varies by task and it lacks custom vocabulary support.
Open-source Apache 2.0 speech-to-text model that people find accurate, fast and competitive on benchmarks. Critics say its quality varies by task and it lacks custom vocabulary support.
13 people gave an opinion
- recommend it
- 11
- criticize it
- 2
- approval share
- 85%
Recommended in 3 of 13 months
- November 2025: not recommended
- December 2025: not recommended
- January 2026: not recommended
- February 2026: not recommended
- March 2026: recommended
- April 2026: recommended
- May 2026: not recommended
- June 2026: not recommended
- July 2026: recommended
- August 2026: not recommended
- September 2026: not recommended
- October 2026: not recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 11 people recommend itNeeds 10 or more, met.
- 5.5 recommenders for every criticNeeds 2 to 1 or better, met.
- Recommended in 3 of 13 monthsNeeds 4 or more, not met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Accurate, fast and excellent
“Accurate and fast model, very happy with it so far!”
Comment from 31 Mar 2026 in “Cohere Transcribe: Speech Recognition” “Cohere Transcribe is also excellent”
Comment from 19 Jul 2026 in “Transcribe.cpp” Competitive on public benchmarks
“performs better than it on the benchmarks that hugging face publishes on the openASR leaderboard”
Comment from 31 Mar 2026 in “Cohere Transcribe: Speech Recognition” “it's competitive for sure!”
Comment from 31 Mar 2026 in “Cohere Transcribe: Speech Recognition”
What people warn about
Each mark is one comment
Quality varies from task to task
“Cohere Transcribe is interesting, but how strong it is seems to vary more from task to task.”
Comment from 13 Jul 2026 in “Apple's new SpeechAnalyzer API, benchmarked against Whisper and its predecessor”
Other speech recognition models people recommend
The four most recommended other speech recognition models, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| OpenAI Whisper | 164 | 53 | 76% | 12 | — | Approved |
| NVIDIA Parakeet | 144 | 27 | 84% | 12 | — | Approved |
| Mistral Voxtral | 69 | 27 | 72% | 8 | — | Approved |
| Moonshine open-weights STT models | 37 | 13 | 74% | 7 | — | Approved |
| Cohere TranscribeThis page | 11 | 2 | 85% | 3 | — | — |
What people said
10 of the 14 comments that mention it, newest first. Each links to the original comment.
“Cohere Transcribe is also excellent”
“I do like cohere transcribe a lot.”
“Mistral's Voxtral and Cohere Transcribe”
“Cohere Transcribe is interesting, but how strong it is seems to vary more from task to task.”
“it's probably another ASR model that focuses on benchmarks and simple uses instead of more challenging real use cases”
“it's competitive for sure!”
“does not seem to support a custom vocabulary, word boosting or an additional prompt”
“performs better than it on the benchmarks that hugging face publishes on the openASR leaderboard”
“Accurate and fast model, very happy with it so far!”
“It's great that this is Apache 2.0 licensed”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.