Douyin Video Transcribe

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

| Version | Changes | |---------|---------| | 2.0.0 | Modular architecture, improved workflow, browser DOM extraction | | 1.0.0 | Initial release, basic transcription |

Architecture

\\\ 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 │ └─────────────────────────────────────────┘ \\\

Core Features

Prerequisites

| Tool | Purpose | Install | |------|---------|---------| | curl | Download files | Built-in (Windows: \curl.exe\) | | ffmpeg | Audio extraction/merge | \winget install Gyan.FFmpeg\ | | Whisper | Transcription | \pip install openai-whisper\ or Docker | | Browser | Video extraction | OpenClaw profile required |

Docker Whisper (Recommended): \\\ash docker run -d -p 9000:9000 --name whisper-asr onerahmet/openai-whisper-asr-webservice:latest \\\

Workflow

Step 0: Input Classification

| Input Type | Detection | Action | |------------|-----------|--------| | Video link (\/video/\) | URL pattern | Full workflow | | Image note (\/note/\) | URL pattern | Snapshot only | | Local video file | File path | Start from Step 2 | | Text input | Plain text | Start from Step 3 |

Step 1: Fetch Video

#### 1.1 Resolve Short URL

\\\ash

Windows PowerShell

macOS/Linux

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

#### 1.2 Open Video Page

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

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; })()" }) \\\

Important Notes:

#### 1.4 Download Video

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

Referer header is required, otherwise 403.

Step 2: Transcribe Audio

#### 2.1 Extract Audio

\\\ash

For MP4 videos

For DASH videos (need merge)

Parameters:

#### 2.2 Transcribe with Docker Whisper

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

#### 2.3 Alternative: Local Whisper

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

Model Selection:

| Model | Size | 5-min Video (CPU) | Accuracy | Use Case | |-------|------|-------------------|----------|----------| | tiny | 75MB | ~30s | Fair | Quick preview | | base | 142MB | ~1min | Good | Daily use | | small | 466MB | ~3min | Better | Recommended | | medium | 1.5GB | ~8min | Best | High accuracy |

Step 3: Analyze Content

Agent processes transcript and generates:

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

2. Structure content - Add paragraph breaks - Create sections

3. Extract key points - Main ideas - Important quotes

4. 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

标签

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

#### File Naming Convention

\\\ {VIDEO_ID}-抖音转录.md \\\

Troubleshooting

| Stage | Issue | Solution | |-------|-------|----------| | Step 1 | Short URL fails | Check link completeness, remove share text | | Step 1 | JS returns null | Wait 15-20s and retry, increase timeout | | Step 1 | Download 403 | URL expired, re-fetch from browser | | Step 1 | DASH no audio | Merge with \fmpeg -i video -i audio -c copy\ | | Step 2 | ffmpeg not installed | \winget install Gyan.FFmpeg\ | | Step 2 | Whisper service down | \docker start whisper-asr\ | | Step 2 | Transcription slow | 10-min video takes 15-20 min on CPU | | Step 2 | Poor quality | Use larger model (medium) |

Image Note Handling

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

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

Edge Cases

Related Modules

This skill can be extended with standalone modules:

| Module | Purpose | |--------|---------| | douyin-fetcher | Video fetching only | | douyin-transcriber | Audio transcription only | | douyin-analyzer | Content analysis only | | douyin-orchestrator | Workflow coordination |

License

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

| Tool | Purpose | Install | |------|---------|---------| | curl | Download files | Built-in (Windows: \curl.exe\) | | ffmpeg | Audio extraction/merge | \winget install Gyan.FFmpeg\ | | Whisper | Transcription | \pip install openai-whisper\ or Docker | | Browser | Video extraction | OpenClaw profile required |

Docker Whisper (Recommended): \\\ash docker run -d -p 9000:9000 --name whisper-asr onerahmet/openai-whisper-asr-webservice:latest \\\

| Stage | Issue | Solution | |-------|-------|----------| | Step 1 | Short URL fails | Check link completeness, remove share text | | Step 1 | JS returns null | Wait 15-20s and retry, increase timeout | | Step 1 | Download 403 | URL expired, re-fetch from browser | | Step 1 | DASH no audio | Merge with \fmpeg -i video -i audio -c copy\ | | Step 2 | ffmpeg not installed | \winget install Gyan.FFmpeg\ | | Step 2 | Whisper service down | \docker start whisper-asr\ | | Step 2 | Transcription slow | 10-min video takes 15-20 min on CPU | | Step 2 | Poor quality | Use larger model (medium) |