awni

awni / voxmlx

Public

Realtime Transcription with Voxtral in MLX

86
4
100% credibility
Found Feb 09, 2026 at 49 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A user-friendly tool for converting speech from microphone or audio files into text in real-time.

How It Works

1
🔍 Discover the tool

You hear about a handy app that turns your voice or audio recordings into written text instantly.

2
📱 Set it up on your Mac

You download and prepare the tool on your Apple computer with a simple command—it takes just moments.

3
Pick your way to talk
🎤
Live from mic

Start speaking naturally and see text appear as you talk.

📁
From audio file

Choose a recording file and get its full text right away.

4
✨ Hit start

Run the tool and it begins listening or reading your audio, feeling magical as it works in real-time.

5
💬 Watch text appear

Your spoken words or audio turns into clear, readable text streaming live on your screen.

✅ Get perfect transcripts

You now have accurate text from any voice or recording, ready to copy, save, or use however you like.

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Star Growth

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AI-Generated Review

What is voxmlx?

voxmlx delivers realtime transcription in Python using Voxtral Mini optimized for MLX. Fire up "voxmlx" to stream from your mic or transcribe files via "--audio audio.flac", with a simple Python API like transcribe("file.flac"). It tackles local, low-latency STT for github realtime transcription, skipping cloud dependencies like realtime transcription api openai or azure.

Why is it gaining traction?

MLX acceleration crushes inference speed on Apple Silicon, paired with quantization and a convert CLI for slim models uploadable to Hugging Face. Users get seamless realtime transcription python from mic or files, outpacing bulkier realtime transcription whisper setups in stt realtime github projects. The hook: instant CLI for prototyping realtime data stream voice apps without setup hassle.

Who should use this?

ML engineers building realtime voice chat or realtime transcription ai prototypes. Python devs scripting realtime transcription and translation pipelines on M-series Macs. Teams ditching hosted realtime transcription gemini for local mlx-powered github realtime dashboard tools.

Verdict

Promising for MLX users chasing realtime transcription github speed, but 49 stars and 1.0% credibility score signal early maturity—solid README, no tests yet. Install and benchmark if local STT fits; skip for production without more polish.

(178 words)

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