WhisperKit
Shares rank 20 of 25 speech recognition models by recommenders
Developers recommend it as a free, fast, offline speech-to-text toolkit for Apple Silicon Macs, with support for speaker diarization and concurrent inference.
Developers recommend it as a free, fast, offline speech-to-text toolkit for Apple Silicon Macs, with support for speaker diarization and concurrent inference.
6 people gave an opinion
- recommend it
- 6
- criticize it
- 0
- approval share
- 100%
Recommended in 5 of 13 months
- November 2025: not recommended
- December 2025: recommended
- January 2026: not recommended
- February 2026: not recommended
- March 2026: recommended
- April 2026: recommended
- May 2026: recommended
- June 2026: not recommended
- July 2026: not recommended
- August 2026: recommended
- September 2026: not recommended
- October 2026: not recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 6 people recommend itNeeds 10 or more, not met.
- Nobody criticizes itNeeds 2 to 1 or better, met.
- Recommended in 5 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
Fast, near-realtime transcription on Apple Silicon
“significantly speeds up longform because we can run a large amount of concurrent inference requests”
Comment from 7 Apr 2026 in “Show HN: Ghost Pepper – 100% local hold-to-talk speech-to-text for macOS” “WhisperKit is already close to instant (basically realtime for Apple Silicon)”
Comment from 15 May 2026 in “HN: Shoute – Yes, another dictation app. Why the last 5% is the whole product”
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 |
| WhisperKitThis page | 6 | 0 | 100% | 5 | — | — |
What people said
5 of the 6 comments that mention it, newest first. Each links to the original comment.
“Its almost good I have tried”
“WhisperKit is already close to instant (basically realtime for Apple Silicon)”
“significantly speeds up longform because we can run a large amount of concurrent inference requests”
“Great because they support features like speaker diarization”
“a powerful combination for offline transcription”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.