● Covered by 1 source · 1 reportLow impact1 neutral
Qwen Scribe Offers Local Transcription and Dictation for Apple Silicon Macs
Key points
- Local transcription and dictation for Apple Silicon Macs.
- Uses Qwen3-ASR models on Metal GPU.
- No cloud service, API key, or account required.
- Supports drag-and-drop, automatic language detection, and SRT export.
- Requires macOS 14+, Python 3.12+, and ffmpeg.
Local Transcription and Dictation
Qwen Scribe is a new application designed for Apple Silicon Macs, offering local transcription of audio and video files, alongside system-wide dictation capabilities. The tool processes all data directly on the user's device, leveraging the Mac's Metal GPU for performance.
Privacy-Focused Operation
A core feature of Qwen Scribe is its commitment to privacy. It operates without requiring an account, API key, or any connection to a cloud service. All audio and transcript text remain on the user's Mac, ensuring data is not transmitted externally.
Technical Implementation
The application uses Qwen3-ASR models, specifically the 1.7B for accuracy or 0.6B for speed, running via mlx-qwen3-asr. It supports drag-and-drop transcription, automatic language detection, vocabulary hints, word timestamps, and SRT export. For system-wide dictation, users can hold the right Command key in any text field to speak and have the transcription pasted at the cursor.
System Requirements and Availability
Qwen Scribe requires an Apple Silicon Mac running macOS 14 or newer, Python 3.12 or newer, and ffmpeg for non-WAV audio and video processing. The current release, v0.1.0-beta.1, is source-only, requiring users to build the app locally. Signed and notarized binaries are planned for a future v0.2 release.
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Primary sources
GitHub cmc_internal/api GitHub github/collect GitHub VladUZH/qwen-scribe GitHub _private/browser GitHub get-started/accessibility GitHub open-source/sponsorsReporting from
Qwen Scribe is a new tool providing local audio/video transcription and system-wide dictation for Apple Silicon Macs, utilizing Qwen3-ASR models on the Metal GPU. This tool keeps all audio and transcript data on the user's device, ensuring privacy without cloud services or API keys.