Douyin Transcribe - Video Transcription Suite

A complete solution for transcribing Douyin (抖音/TikTok China) videos. Extracts audio, transcribes speech to text, and generates structured summaries.

Version History

Architecture

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User Input (Douyin Link/File)

│

▼

┌─────────────────────────────────────────┐

│ Workflow Orchestrator │

├─────────────────────────────────────────┤

│ Step 1: Fetcher → Get video file │

│ Step 2: Transcriber → Extract & convert│

│ Step 3: Analyzer → Structure output │

│ Step 4: Output → Save results │

└─────────────────────────────────────────┘

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Core Features

• Video Fetching: Browser-based DOM extraction for CDN URLs
• Audio Extraction: ffmpeg-powered audio conversion
• Speech-to-Text: Whisper ASR with multiple model options
• Content Analysis: Auto-structured transcripts with key points
• Multi-format Support: Video links, local files, image notes

Prerequisites

Docker Whisper (Recommended):

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docker run -d -p 9000:9000 --name whisper-asr onerahmet/openai-whisper-asr-webservice:latest

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Workflow

Step 0: Input Classification

Step 1: Fetch Video

1.1 Resolve Short URL

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Windows PowerShell

curl.exe -sL -o NUL -w "%{url_effective}" "https://v.douyin.com/xxx/"

macOS/Linux

curl -sL -o /dev/null -w '%{url_effective}' "https://v.douyin.com/xxx/"

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Output: \https://www.douyin.com/video/7616020798351871284\

1.2 Open Video Page

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browser(action='open', profile='openclaw', url='https://www.douyin.com/video/{VIDEO_ID}')

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Wait 10-15 seconds for page to load completely.

1.3 Extract Video URL (Browser DOM Method)

\\\javascript

browser(action='act', targetId='PAGE_ID', request={

"kind": "evaluate",

"fn": "(() => {

const entries = performance.getEntriesByType('resource');

const videoEntries = entries.filter(e => {

const name = e.name.toLowerCase();

return name.includes('douyinvod') &&

(name.includes('.mp4') || name.includes('video'));

});

if (videoEntries.length > 0) {

const video = videoEntries[videoEntries.length - 1];

return {

url: video.name,

type: video.name.includes('.mp4') ? 'mp4' : 'dash'

};

}

return null;

})()"

})

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Important Notes:

• \ct\ action requires nested \ equest\ object with \kind\ and \n\
• Wrong: \rowser(action='act', fn='...')\
• Correct: \rowser(action='act', request={"kind": "evaluate", "fn": "..."})\

1.4 Download Video

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curl.exe -L -H "Referer: https://www.douyin.com/" -o video.mp4 ""

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Referer header is required, otherwise 403.

Step 2: Transcribe Audio

2.1 Extract Audio

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For MP4 videos

ffmpeg -i video.mp4 -ar 16000 -ac 1 -c:a pcm_s16le audio.wav -y

For DASH videos (need merge)

ffmpeg -i video.mp4 -i audio.mp4 -c copy merged.mp4 -y

ffmpeg -i merged.mp4 -ar 16000 -ac 1 -c:a pcm_s16le audio.wav -y

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Parameters:

• \-ar 16000\: 16kHz sample rate (Whisper requirement)
• \-ac 1\: Mono channel
• \-c:a pcm_s16le\: 16-bit PCM

2.2 Transcribe with Docker Whisper

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curl.exe -X POST "http://localhost:PORT/asr" -F "audio_file=@audio.wav"

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2.3 Alternative: Local Whisper

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python -m whisper audio.wav --model small --language zh

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Model Selection:

Step 3: Analyze Content

Agent processes transcript and generates:

1. Fix transcription errors
• Correct homophones
• Fix speaker names
• Remove filler words

1. Structure content
• Add paragraph breaks
• Create sections

1. Extract key points
• Main ideas
• Important quotes

1. Generate tags
• 3-5 topic tags

Step 4: Save Output

Transcript Format

\\\markdown

{Title}

作者: {Author}

来源: 抖音

日期: {Date}

转录时间: {Transcription Date}

摘要

{Summary}

正文

{Transcript content with paragraphs}

要点

• {Key point 1}
• {Key point 2}
• {Key point 3}

标签

#{tag1} #{tag2} #{tag3}

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File Naming Convention

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{VIDEO_ID}-抖音转录.md

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Troubleshooting

Image Note Handling

Image notes (\/note/\) don't need transcription:

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1. browser(action='open', profile='openclaw', url='IMAGE_NOTE_URL')
2. browser(action='snapshot')
3. Extract content from snapshot
4. Save to output directory

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Edge Cases

• Article links (\/article/\): Use browser snapshot, no transcription
• Douyin AI summary: Extract from page as supplement
• Other platforms: Use yt-dlp for YouTube/Bilibili
• Live streams: Not supported

Related Modules

This skill can be extended with standalone modules:

License

MIT-0 License - Free to use, modify, and redistribute.