Agent Skill for transcribing audio files via ByteDance Volcengine Seed-ASR 2.0 (豆包录音文件识别模型2.0)

Best-in-class Chinese speech recognition — Mandarin, Cantonese, Sichuan dialect, and 13+ languages. With speaker diarization, up to 5 hours / 512MB per file.

中文语音识别准确率业界领先——支持普通话、粤语、四川话等方言及 13+ 种语言。自带说话人分离，单文件最长 5 小时 / 512MB。

Setting up Volcengine's Doubao Audio File Recognition 2.0 (豆包录音文件识别模型2.0, recorded audio → text) from scratch involves 4 environment variables across 3 different console pages (Speech console, IAM, TOS). Without guidance, this typically takes 1-2 hours of doc-hunting and trial-and-error.

This skill provides step-by-step bilingual setup instructions (中英双语) baked into SKILL.md, so your AI agent can walk you through the entire process in ~10 minutes.

从零配置火山引擎豆包录音文件识别模型2.0（录音转文字）涉及 3 个不同控制台页面的 4 个环境变量。没有引导的话通常需要 1-2 小时翻文档踩坑。本 skill 在 SKILL.md 中内置了中英双语分步引导，AI agent 可以在约 10 分钟内带你完成全部配置。

claude /install-skill https://github.com/vahnxu/doubao-asr

Or manually copy to ~/.claude/skills/doubao-asr/.

Available on ClawHub as doubao-asr.

git clone https://github.com/vahnxu/doubao-asr.git
cd doubao-asr
pip install requests
python3 scripts/transcribe.py /path/to/audio.m4a

# Basic transcription
python3 scripts/transcribe.py /path/to/audio.m4a

# Save to file
python3 scripts/transcribe.py /path/to/audio.m4a --out /tmp/transcript.txt

# JSON output
python3 scripts/transcribe.py /path/to/audio.m4a --json --out /tmp/result.json

# Direct URL (skip upload)
python3 scripts/transcribe.py https://example.com/audio.mp3

# Disable speaker diarization
python3 scripts/transcribe.py /path/to/audio.m4a --no-speakers

See the detailed setup guide in SKILL.md — with step-by-step instructions for each environment variable.

WAV, MP3, MP4, M4A, OGG, FLAC — up to 5 hours, 512MB max.

Apache-2.0