Social Media Transcription: platform coverage, honestly

TL;DR — the platform summary

• YouTube — 90%+ caption coverage across videos, Shorts, and live archives. Our YouTube transcript tool handles all URL variants including youtube.com/shorts/… and youtube.com/live/….
• TikTok — 65-70% coverage. Reliable for videos with clear speech; fails for silent/music-only content. Our TikTok transcript tool handles all URL variants including vm.tiktok.com and /t/ shortlinks.
• Instagram Reels — 60-75% coverage, patchier than TikTok because Instagram relies more on creator-uploaded captions. Our Instagram transcript tool handles Reels, Posts, live Stories, and Highlights.
• Instagram Feed, Stories, IGTV — same tool; success rate varies (Stories only work if live; IGTV is deprecated).
• Facebook, Twitter/X, Vimeo, LinkedIn, Twitch — not supported by dedicated tools yet. Download and upload to our full app for AI transcription that runs on the audio directly.

The honest platform comparison

What every single-platform competitor page misses: caption coverage varies wildly across platforms.Here’s the real data, based on testing across the platforms we’ve shipped and observation of the ones we haven’t.

“Caption coverage” means the percentage of random public videos on that platform that have a caption track available at all. If the platform doesn’t have one, no third-party tool can produce a transcript from the platform’s side — you have to run AI transcription on the audio directly (the fallback path below).

Which platforms transcribe most reliably

1. YouTube — highest coverage, best documented URL variants, longest videos (more content per paste). If you can pick your platform, pick this.
2. TikTok — solid coverage on speech-heavy videos, short-form so quick to transcribe. Failure mode is silent/music-only content.
3. Instagram Reels— patchier than TikTok because Instagram relies more on creator opt-in. Failure mode is creators who didn’t enable captions.
4. Instagram Feed video — noticeably worse coverage than Reels; treat as roughly 50/50.
5. YouTube Live archives — usually work once post-processing completes (a few minutes to a few hours after stream end).
6. Instagram Stories (live) — 24-hour window, then the URL 404s.
7. Instagram Highlights — persistent URLs, but transcript success depends on whether Instagram kept the caption track.
8. Facebook / LinkedIn video — depends entirely on creator caption toggle; no reliable auto-caption expectation.
9. Vimeo— professional platform; captions common when video editors uploaded them, rare when they didn’t.
10. Twitter/X, Twitch VOD — rare auto-captions; treat as no-transcript-available by default.

Our dedicated tools

Three paste-URL widgets, one per major platform. Same architecture (upstream: Supadata), platform-specific URL handling and error messaging:

Same rate limit across all three: one free transcript per 24 hours per IP address. Sign up (free, no credit card, 60 minutes of full-app credit) for unlimited access.

Platforms we don’t yet support

Being upfront about what’s missing and why:

• Facebook video.Meta has tightened third-party access since 2022. Facebook video URLs increasingly require session-authenticated fetches that break weekly. We won’t ship a feature we can’t reliably deliver.
• Twitter/X video.The 2023 API access restructure removed most free-tier read access. Native X video transcription would require paid API tier; economics don’t currently support a free public tool.
• Vimeo. Q4 2026 candidate. Vimeo is a professional platform where creators often already have captions from their video editors — different use case than TikTok/IG/YouTube.
• LinkedIn video. Enterprise-auth-heavy, low search volume; unlikely to ship soon.
• Twitch VOD.Technically feasible via the Twitch API. Considering, not scheduled. Live captions during broadcasts are a separate problem we don’t address.
• Snapchat, BeReal, Threads. No stable caption/transcript ecosystem to pull from.

The universal fallback — AI on the audio

For any platform not listed above, and for any specific video that failed on a supported platform (no captions available, private account, expired Story), the workflow is the same:

1. Download the video from the platform. Free tools likeyt-dlphandle most public video downloads across platforms; check the platform’s Terms of Service for your use case.
2. Upload the file to our full video-to-text app. AI transcription runs Whisper large-v3 on the audio directly, so it doesn’t depend on the platform having generated a caption track.
3. Get speaker labels, word-level timestamps, and export as .srt, .vtt, .docx, PDF, or JSON — features the paste-URL tools don’t include on the free tier.

For files under 60 minutes, this is free (our new-account credit covers it). For larger files or batch processing, signup for a paid tier.

What to do with a social media transcript

• Feed to Claude, ChatGPT, or Geminifor summarization, hook analysis, sentiment, or Q&A across many videos. Best-in-class transcripts (creator- uploaded YouTube) work well; auto-generated TikTok/IG work but expect some noise.
• Repurpose your own content — one YouTube video → 5-10 short-form pieces; one long-form Reel → carousel + newsletter section.
• Study competitor hooks — grab the first 3-5 seconds of transcripts from top-performing videos in your niche.
• Cite in journalism or research — transcript + timestamp + link back to the video.
• Accessibility — read videos silently, feed to screen readers, or create captions from scratch for platforms where auto-captions failed.