Xiaohongshu video transcripts, extracted in one click
Trigger extraction right on the collected record, no need to sync to Feishu first. You get two outputs: a full transcript for copying and feeding to AI, and a timestamped, sentence-level script that shows exactly when the hook lands, how long the setup runs, and where the turn hits.
One click in the extension, no Feishu needed
Since V0.1.8 transcript extraction lives inside the extension itself. The raw data is already here, so extraction happens in place and writes straight back to the collected record, ready to copy, export to CSV/Markdown, or sync to Feishu.
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Timestamped script for pacing analysis
A flat block of text only tells you what was said. A timestamped, sentence-level script tells you when it was said and how long each line runs, which is the only way to read the hook, setup, and turning points.
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Transcript ready for AI rewriting
The transcript and video data sit in the same record, so you can analyze a benchmark video's voiceover structure line by line, then use AI to deconstruct and rewrite the whole note into your own version.
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High volume? Sync to Feishu for batch extraction
To process a batch instead of one at a time, sync the records to a Feishu base and use the audio/video-to-text field shortcut with Alibaba Bailian. Drop the raw links into the table and it extracts row by row, with 10 free hours a month, about 300 clips at two minutes each.
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Two extraction paths, pick by use case
Adding in-extension extraction doesn't retire the free Feishu path. They solve different sides of the same need.
| Dimension | In-extension extraction | Feishu shortcut + Alibaba Bailian |
|---|---|---|
| Cost | Credits by video length | 10 free hours every month |
| Model accuracy | Newer and more accurate, handles fast speech, dialects, noise | Older model, drops or mistakes words on noise and dialects |
| Timestamps | Yes, sentence-level with a timeline | No, one flat block of text |
| Path | Triggered on the record, no Feishu dependency | Must sync the raw link into a Feishu base first |
| Best for | Serious pacing analysis, hard-to-recognize audio, low error tolerance | High volume, budget sensitive, a rough transcript is enough |
Extension vs. Online Transcribers, CapCut & APIs
Four ways to turn RedNote videos into text, compared.
| MediaClaw (Extension) | Online transcribers | CapCut subtitle export | Transcription APIs | |
|---|---|---|---|---|
| Workflow | Extract right from collected posts — no download needed | Download the video, then upload it | Download, import to CapCut, export subtitles | Build an integration and send videos yourself |
| Batch | Batch-extract from your collection list | One at a time | One at a time | Batch possible, but you build the pipeline |
| Timestamps | Sentence-level timeline | Varies by tool | Subtitle timeline included | Depends on the API |
| Accuracy | Recent models — handles fast speech, dialects, and background music | Hit or miss | Usable, but typos need manual cleanup | Depends on the model you pick |
| Cost | Credits by video length | Small free tiers, usage caps | Free | Pay per minute, plus dev cost |
| Best for | Competitor teardowns, bulk transcripts | The odd video | Already editing in CapCut | Product integrations |
What's next
What the transcript unlocks
A transcript is more than turning speech into text. It only becomes useful once it lands in the collected record.
Break down structure and pacing
Compare hooks, setup length, and turning points across benchmark videos to find reusable script templates.
AI rewrite and remix
Feed the transcript to AI to deconstruct and rewrite it, together with the title and body, into your own version.
Build a reusable copy library
Transcripts export to CSV/Markdown or sync to Feishu alongside the record, building a searchable copy library over time.
FAQ
Pick a viral video and pull one transcript
Install MediaClaw for free, collect a video you want to break down, and extract a timestamped transcript to see exactly when its hook lands.