byted-voice-to-text
Byted Voice to Text transcribes audio using Volcano Engine's BigModel ASR, offering fast synchronous processing for files under 2 hours and 100MB, or asynchronous recognition for longer content up to 5 hours. It handles Feishu voice messages, local audio files, and direct URLs with automatic format detection.
Byted Voice to Text converts speech and audio files to text using Volcano Engine BigModel ASR.
AI-generated summary based on this skill's SKILL.md
Install
bytedance/agentkit-samples/byted-voice-to-text · repository language: Python
git clone https://github.com/bytedance/agentkit-samples
cp -r agentkit-samples/skills/byted-voice-to-text ~/.claude/skills/byted-voice-to-textnpx skillfed install bytedance/agentkit-samples/byted-voice-to-textFrequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
What audio formats does byted-voice-to-text support?
Byted Voice to Text supports automatic format detection for common audio files including MP3, WAV, OGG, and other standard formats. The skill handles both local audio files and URLs, making it flexible for various transcription workflows.
Can I transcribe voice to text recognition with byted-voice-to-text?
Yes, byted-voice-to-text uses Volcano Engine's BigModel ASR to transcribe voice to text recognition. It offers fast synchronous processing for files under 2 hours and 100MB, or asynchronous recognition for longer audio up to 5 hours.
Does byted-voice-to-text work with Feishu voice messages?
Byted Voice to Text can process Feishu voice messages automatically, converting them to text alongside support for local audio files and direct URLs. This integration streamlines voice message handling within Feishu workflows.
How does byted-voice-to-text handle long audio transcription?
Byted Voice to Text provides asynchronous recognition for long-duration audio up to 5 hours, complementing its fast synchronous mode for shorter files. This dual approach ensures efficient processing regardless of audio length.
Can byted-voice-to-text transcribe audio from URLs?
Yes, byted-voice-to-text converts speech from both URLs and local files to text quickly. It supports direct URL input with automatic format detection, enabling seamless transcription workflows.
What are the size and duration limits for byted-voice-to-text?
Byted Voice to Text handles synchronous processing for files under 2 hours and 100MB. For longer content, use asynchronous recognition which supports audio up to 5 hours, providing flexibility for various transcription needs.
SKILL.md
rendered from the published skill — quoted content, verbatim
Voice to Text Skill
基于火山引擎 BigModel ASR 将语音转为文字。准确率和多语言能力远优于本地 whisper，且速度更快。
核心执行流
- 收到飞书语音消息（
message_type: audio），需要自动识别语音内容 - 用户给音频要转文字：
- 先跑
inspect_audio.py - 再按时长、大小、URL/本地路径选择
asr_flash.py（极速版）或asr_standard.py（标准版） - 缺 ffmpeg / ffprobe：先执行
ensure_ffmpeg.py --execute - 用户问安装、开通、手工配置：按文末 reference map 读取对应文档
强制规则（最高优先级）
当你收到语音消息或音频文件附件时：
- 必须且只能使用 本 Skill 的脚本来识别语音
- 禁止使用 whisper 命令或 openai-whisper skill
- 禁止 fallback：脚本失败时直接将错误信息告知用户，不要改用 whisper
- 先探测后识别：统一先执行 python3 <SKILL_DIR>/scripts/inspect_audio.py "<AUDIO_INPUT>"
- 缺 ffmpeg/ffprobe 先自治安装：先执行
(truncated - see the full file via the links below)
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skills/byted-voice-to-text/LICENSE
skills/byted-voice-to-text/SKILL.md
skills/byted-voice-to-text/references/routing_strategy.md
skills/byted-voice-to-text/requirements.txt
skills/byted-voice-to-text/scripts/api_key.py
skills/byted-voice-to-text/scripts/asr_flash.py
skills/byted-voice-to-text/scripts/asr_standard.py
skills/byted-voice-to-text/scripts/ensure_ffmpeg.py
skills/byted-voice-to-text/scripts/inspect_audio.py