Qwen ASR

Local speech-to-text using Qwen3-ASR (CPU-only, no API key, no cloud). Use when: (1) a voice message or audio file needs transcription, (2) user asks to transcribe audio, (3) speech-to-text is needed. Supports offline, segmented, and streaming modes. macOS and Linux only.

Local, CPU-only speech-to-text powered by Qwen3-ASR. No API key or cloud needed.

• Source code: huanglizhuo/QwenASR
• Based on: antirez/qwen-asr (original C implementation)

Install

Run the install script to download the pre-built binary and model:

bash

bash {baseDir}/scripts/install.sh

This will:

1. Download the qwen-asr binary for your platform from GitHub Releases
2. Download the qwen3-asr-0.6b model (~1.5 GB) from HuggingFace

Usage

Transcribe an audio file

bash

bash {baseDir}/scripts/transcribe.sh <audio-file>

Supports any audio format: wav, mp3, m4a, ogg, flac, opus, webm, aac, etc. Non-WAV files are automatically converted via ffmpeg (must be installed).

Or call qwen-asr directly (WAV only):

bash

qwen-asr -d ~/.openclaw/tools/qwen-asr/qwen3-asr-0.6b -i <audio-file> --silent

From stdin

bash

cat audio.wav | qwen-asr -d ~/.openclaw/tools/qwen-asr/qwen3-asr-0.6b --stdin --silent

Common parameters

Flag	Description
--silent	Print only transcription text (no progress)
--language <lang>	Force language (e.g., zh, en)
-S <seconds>	Segmented mode — split audio into chunks
--stream	Streaming mode — process audio in real time
--stdin	Read audio from stdin

Model path

Default model directory: ~/.openclaw/tools/qwen-asr/qwen3-asr-0.6b