sherpa-onnx
Shares rank 23 of 25 speech recognition models by recommenders
Recommended for offline speech recognition and text-to-speech on local hardware, with bindings for many languages and streaming support on Linux. Caveat: larger memory footprint for higher accuracy.
Recommended for offline speech recognition and text-to-speech on local hardware, with bindings for many languages and streaming support on Linux. Caveat: larger memory footprint for higher accuracy.
6 people gave an opinion
- recommend it
- 5
- criticize it
- 1
- approval share
- 83%
Recommended in 4 of 13 months
- November 2025: recommended
- December 2025: not recommended
- January 2026: not recommended
- February 2026: not recommended
- March 2026: recommended
- April 2026: not recommended
- May 2026: recommended
- June 2026: recommended
- July 2026: not 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
- 5 people recommend itNeeds 10 or more, not met.
- 5 recommenders for every criticNeeds 2 to 1 or better, met.
- Recommended in 4 of 13 monthsNeeds 4 or more, 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
Works for speech recognition on Linux
“sherpa-onnx supports Linux and has streaming STT, it might be the best starting point”
Comment from 11 Mar 2026 in “Show HN: RunAnwhere – Faster AI Inference on Apple Silicon” Bindings for many programming languages
“sherpa-onnx bindings for your favourite language”
Comment from 14 Nov 2025 in “Why do voice transcription apps charge monthly when Whisper runs locally?” Accurate speech models
“It's significantly more accurate, but it also comes with a correspondingly larger memory footprint.”
Comment from 3 May 2026 in “Show HN: Apple's Sharp Running in the Browser via ONNX Runtime Web” Recommended among popular speech repos
“Other popular repos for such tasks I would recommend”
Comment from 10 Mar 2026 in “Show HN: RunAnwhere – Faster AI Inference on Apple Silicon”
What people warn about
Each mark is one comment
Larger memory footprint
“It's significantly more accurate, but it also comes with a correspondingly larger memory footprint.”
Comment from 3 May 2026 in “Show HN: Apple's Sharp Running in the Browser via ONNX Runtime Web” Consistency issues across tools
“they all have consistency issues”
Comment from 10 Nov 2025 in “TTS still sucks”
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 |
| sherpa-onnxThis page | 5 | 1 | 83% | 4 | — | — |
What people said
5 of the 6 comments that mention it, newest first. Each links to the original comment.
“It's significantly more accurate, but it also comes with a correspondingly larger memory footprint.”
“sherpa-onnx supports Linux and has streaming STT, it might be the best starting point”
“Other popular repos for such tasks I would recommend”
“sherpa-onnx bindings for your favourite language”
“they all have consistency issues”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.