second-state

second-state / qwen3_asr_rs

Public

Rust implementation of Qwen3-ASR automatic speech recognition

117
6
100% credibility
Found Mar 01, 2026 at 114 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Rust
AI Summary

A cross-platform command-line tool for converting spoken audio into text using the Qwen3-ASR speech recognition model.

How It Works

1
🔍 Discover the speech-to-text helper

You hear about a handy tool that listens to audio recordings and writes out what people are saying, perfect for turning voice memos into readable notes.

2
💻 Grab the ready program

Pick the version that matches your computer (like for Mac or Linux) and download the simple executable file—no complicated setup needed.

3
🧠 Add the listening brain

Download the special files that teach the program how to understand speech in many languages, just like grabbing a dictionary.

4
🎙️ Turn audio into words

Point the program at your audio file (any common format works) and optionally pick a language—it processes everything quickly.

📝 Enjoy your transcribed text

See the detected language and the full written-out words right away, ready to copy or use however you like.

Sign up to see the full architecture

3 more

Sign Up Free

Star Growth

See how this repo grew from 114 to 117 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is qwen3_asr_rs?

Pure Rust implementation of Qwen3-ASR for automatic speech recognition, packing a cross-platform CLI that transcribes any audio file (MP3, WAV, etc.) to text. Feed it a model directory from HuggingFace and an input file; it auto-detects language from 30+ options like Chinese, English, or Japanese, or force one via command line. Pre-built binaries for macOS Apple Silicon (MLX Metal GPU), Linux x86_64/ARM64 (libtorch CPU/GPU), deliver instant offline ASR without Python deps.

Why is it gaining traction?

Rust github crate sidesteps Python-heavy ASR stacks, running lean inference on CUDA or Metal for rust github ci pipelines and rust github actions cache setups. Blazing local perf on Qwen3-0.6B/1.7B models beats cloud latency, with FFmpeg handling messy formats out-of-box. Rust github trending watchers dig the rust implementation language purity for agentic skills.

Who should use this?

AI agent builders embedding voice transcription in Rust bots or rust github workflow automations. Linux/Apple devs needing rust github client for offline ASR in edge devices. Teams ditching Transformers Python for rust github dependency swaps in production audio pipelines.

Verdict

Promising rust implementation of ASR at 36 stars and 1.0% credibility score, but low maturity shows in limited tests and models – grab binaries for quick wins. Solid README and releases suit POCs; scale with rust github actions for now.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.