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description: Qwen Scribe is an open-source macOS app for Apple Silicon that provides private, fully on-device audio and video transcription using the Qwen3-ASR model via...
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# GitHub - VladUZH/qwen-scribe: Private, local transcription and system-wide dictation for Apple Silicon.

**[Hacker News](https://daily.dev/sources/hn)** · 6 min read · 0 upvotes · 0 comments

## Summary

Qwen Scribe is an open-source macOS app for Apple Silicon that provides private, fully on-device audio and video transcription using the Qwen3-ASR model via MLX. It supports drag-and-drop file transcription, automatic language detection, SRT export, transcript history, and system-wide dictation triggered by holding the right Command key. No cloud service, API key, or account is required. Currently at v0.1.0-beta.1, it requires building from source. The architecture uses a FastAPI job queue serving a browser UI and a native macOS dictation helper, with GPU jobs serialized to avoid memory contention.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://github.com/VladUZH/qwen-scribe>

## Community take

How the wider developer community reacted, aggregated from 1 discussion and 28 comments across hackernews (as of 2026-07-29).

**TL;DR:** The community is cautiously positive about Qwen Scribe, appreciating its local-only, privacy-first approach and the Qwen3-ASR model's noise robustness and punctuation quality, while noting it's less mature than alternatives like Handy and significantly slower than Parakeet-based tools.

**Sentiment:** 55% positive · 35% mixed · 10% skeptical

**The case for**

- Qwen3-ASR reportedly handles noisy environments better than Whisper and punctuates more naturally.
- Fully local and Apache-2.0 licensed, with no cloud dependency or account required.
- Supports vocabulary hints for names and jargon, a practical advantage over Whisper/Parakeet.
- Commenters see strong potential use cases like medical transcription where privacy is critical.

**The pushback**

- Significantly slower than alternatives — ~2x realtime on M1 vs. ~60x for Parakeet-based tools like fluidaudio.
- Apple Silicon only, limiting its audience compared to cross-platform alternatives like Handy.
- Less mature than Handy (no cross-platform support, fewer model choices) and less polished than paid tools like Wispr Flow.
- MacPorts users may have trouble with ffmpeg detection due to PATH issues.

**By community**

- hackernews (mixed): Community is interested and sees real promise in the privacy angle and model quality, but raises practical concerns about speed, maturity, and platform limitations compared to existing tools.

**Hottest debate:** Whether Qwen3-ASR's quality advantages justify its much lower inference speed compared to Parakeet-based alternatives.

**Open questions**

- How does Qwen Scribe compare quantitatively (not just impressionistically) to Whisper, Parakeet, and other ASR models?
- Would it make sense to add Qwen3-ASR support to the more mature Handy project rather than maintaining a separate app?
- What is the full list of supported languages beyond the handful tested?
- Will MacPorts ffmpeg support be added?

**Highlights**

> Handy is honestly more mature than mine — cross platform, MIT, and you can pick between Whisper and Parakeet. The real difference is just the model family. I run Qwen3-ASR through MLX instead of Whisper/Parakeet. In my own use it holds up way better with background noise and it punctuate noticeably more naturally, Take that as impression and not a measurement. Qwen3-ASR also accept vocabulary hints, which helps a lot with names and jargon. And mine does files and video with SRT export, not only dictation.  Downside: Apple Silicon only. Wispr Flow is a different category — it's paid and your audio goes to their cloud. The text formatting is nicer than mine. Mine is local only and Apache-2.0, which for me is the entire point.
> — [sidclaw on hackernews · 1 comments](https://news.ycombinator.com/item?id=49100131)

> This is like 2x realtime on M1 vs 60x on fluidaudio with parakeet.
> — [foobarqux on hackernews](https://news.ycombinator.com/item?id=49100991)

> Stuff like this is what doctors should use instead of blasting patient data to a AI scribe who knows where. Im pretty sure that is illegal but it still takes place and I am pretty sure one of the reasons for the push to solve FHE...but its obviously way more practical and private to just do the processing locally.
> — [smalltorch on hackernews](https://news.ycombinator.com/item?id=49101744)

> way better from my point of view. I frequently have recordings made in noisy environments. Whisper does not do the job well under such conditions. Also, Qwen respects gramma a lot and splits sentences properly.
> — [sidclaw on hackernews · 1 comments](https://news.ycombinator.com/item?id=49099261)

**Source threads**

- [hackernews](https://news.ycombinator.com/item?id=49098260) · 39 points · 28 comments

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---

Tags: [#python](https://daily.dev/tags/python), [#mac](https://daily.dev/tags/mac), [#local-first](https://daily.dev/tags/local-first)

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