Facebook Transcript Extractor
Paste a Facebook video, Reel, or fb.watch URL. Captions are fetched on the server with yt-dlp when the clip has subtitles or auto-captions.
Why use a Facebook transcript extractor?
Facebook Watch, Reels, and Page videos are easy to scroll but hard to search. A transcript turns speech (or long descriptions) into text you can skim, quote, copy into notes, and run through keyword or summarization tools. That is useful for students, journalists, social managers, and anyone comparing clips or pulling quotes from interviews, explainers, and live-style recordings.
Many clips only expose text through captions, while others pack the script into the post description. This tool normalizes what you get: timed segments when caption files exist, and a clear fallback when Meta does not publish separate caption tracks—so you still leave with structured text instead of an empty page.
The same tabs you use on our YouTube flow—simple text, timestamps, summarization, keyword extraction, statistics, comments (via Facebook's embed where available), and downloads—keep your workflow consistent across platforms. Exports to TXT and PDF make it easy to archive, cite, or hand off to an editor without re-watching a long Reel.
For creators and marketers, transcripts help spot hooks, CTAs, recurring phrases, and compliance issues. For researchers, they support traceability: you can line up claims against the written record. For accessibility, reading alongside or instead of playback supports different learning styles and environments where sound is not practical.
Used responsibly, a Facebook transcript extractor supports better comprehension and faster research—not a way to bypass creator rights or platform rules. Always respect copyright, privacy, and Meta's terms when copying, republishing, or building derivative work from video content.
How it works
Paste a Facebook or fb.watch URL, submit, and the server resolves the clip with yt-dlp. When captions exist they are parsed into segments; otherwise a description-based transcript may be built. Results are cached for repeat visitors, then you can switch tabs for summaries, keywords, related YouTube matches, and exports.
Best use cases
Studying long Reels, drafting social copy from talking-head videos, comparing competitor messaging, preparing interview briefs, accessibility review, and turning episodic Page videos into notes or blog outlines—without manually transcribing audio.
Responsible use
Only transcribe or download content you are allowed to access. Private or rights-restricted videos may require cookies configured on the server. Do not use transcripts to impersonate, harass, or republish work without permission where law or platform policy forbids it.
Frequently asked questions
Can every Facebook or Reel video be transcribed?
No. Meta does not always expose timed caption files to automated tools. Some videos have auto or manual captions, some rely on burned-in text only, and some are limited without a logged-in session. When captions are missing, we may still build readable text from the official video description with estimated timestamps.
What is the difference between captions and description fallback?
True captions follow speech timing. Description fallback splits the post's title and description across the video duration so you still get sections and a timeline—useful for SEO and reading, but not a word-for-word substitute for ASR captions.
Do I need the same API keys as the YouTube page?
Transcript extraction uses yt-dlp on the server. Optional features reuse the same stack: related suggestions call YouTube search with your transcript text and need YOUTUBE_API_KEY when enabled; summarization and keyword tabs use OpenAI when configured. Facebook comments use Meta's embedded widget for the canonical video URL.
Why does this page include long explanatory content?
Clear documentation helps visitors understand limits (captions vs description), caching, cookies, and ethical use. That transparency improves trust and helps search engines surface the page for people looking for a serious Facebook-to-text workflow—not only a bare input box.
Server requirements
The server uses yt-dlp from tools/ after npm install, or YT_DLP_PATH if set. For merged video downloads, ffmpeg helps. If captions exist but never download, export facebook.com cookies in Netscape .txt format and set FACEBOOK_COOKIES_FILE in .env.local. Successful transcripts are cached in memory (and in your browser) to reduce repeat load on Meta and YouTube APIs—tune FACEBOOK_TRANSCRIPT_CACHE_TTL_MS if you self-host.