YouTube Transcript Generator — Free Preview, Full Text With Signup

Copy the video URL from your browser address bar or the Share button in the YouTube app, paste it into the input at the top of this page, and click Get transcript. If the video has captions (creator-uploaded or YouTube auto-generated), you'll see a preview in 1–3 seconds. Sign up free to unlock the full transcript and export it to SRT, VTT, TXT, JSON, or CSV. If the video has no captions at all, sign in and upload the video file — we'll run Whisper Large-v3 transcription on the raw audio.

There is — YouTube's built-in Show transcript panel. Click the three-dot menu below the video, choose Show transcript, and a side panel opens with the full text and timestamps. Copy-paste from there. Free, no tools required, no rate limit. It's the right choice for one-off reading. The catches: no downloadable file (no SRT/VTT/TXT export), no batch, no multi-language download, and no per-word timestamps. This tool is better when you need any of those. We're honest about the native panel because it genuinely is the fastest option when you just want to read.

Clean single-speaker English on a proper microphone: typically 85–92% word accuracy. Accented English, background noise, technical vocabulary, or multi-speaker panels drop that to 70–80%. YouTube's auto-translate to a different language degrades further. Whisper Large-v3 (September 2023, MIT license) benchmarks around 5–6% word error rate on clean English (Common Voice 15 test set) — roughly 94–95% accuracy — and holds up better on hard audio. If the transcript quality matters for your use case (legal, medical, publishing, subtitle upload), download the video and use the signed-in upload path to run full Whisper transcription.

Several possibilities. The creator may have disabled captions in YouTube Studio. YouTube's auto-caption pipeline may not have run yet — it typically takes a few hours after upload, longer for non-English videos. The video may be private, unlisted, age-restricted, members-only, or part of YouTube Music or YouTube Kids where captions aren't exposed. Live streams in progress don't have downloadable transcripts until they're archived. If the tool returns "no captions available", sign in, download the video (or grab the audio), and upload it via the signed-in transcription flow — Whisper runs on the raw audio and doesn't need YouTube's caption track to exist.

SRT for video editors (Premiere Pro, DaVinci Resolve, Final Cut, CapCut) and for re-uploading captions to another video platform. VTT for HTML5 web players, HLS streaming, and styled captions on the web. TXT for reading, quoting in articles, or pasting into an LLM. JSON for developer pipelines and per-word timestamp precision. CSV for content analysis and spreadsheet workflows. If unsure: TXT for reading, SRT for video work, JSON for anything custom you're building.

YouTube Shorts: yes if the Short has captions. Many Shorts don't because creators don't enable them. YouTube Music: usually no — music tracks don't carry caption tracks in the standard interface. Live streams: only after the stream ends and YouTube archives the recording. While a stream is live, the player-side auto-captions may render on-screen but aren't downloadable via the standard caption API. For live-stream archives, either wait a few hours for YouTube to process, or download the archive and upload it via the signed-in flow for Whisper transcription.

This isn't legal advice. Personal use (reading, note-taking, studying, accessibility), and short fair-use quoting with attribution, are generally fine in most jurisdictions. Republishing an entire transcript as your own content is a different question — YouTube's Terms of Service restrict reuse of platform content, and the spoken words are the creator's copyrighted work. For commercial republishing, high-volume content mining, or any use where you're not sure, talk to a lawyer. The US Copyright Office publishes fair-use guidance covering transformative use — worth reading if this comes up often in your work.

Via the URL paste tool: only in languages the video already has captions for. If a creator uploaded English captions and English auto-generated captions only, you can't fetch French captions through this path. YouTube's player-side auto-translate feature is a visual overlay, not a separate caption track exposed to the caption API. To get a transcript in any of 99 languages regardless of what's on YouTube, sign in and upload the audio/video file — Whisper Large-v3 transcribes directly from the audio in the target language.

On the URL paste path, all of these tools fetch YouTube's existing caption track — the underlying data is identical, so text quality converges. Differences: UX polish, supported export formats, language picker breadth, batch limits, and monetization. Where we differentiate is Path B — the signed-in Whisper Large-v3 upload for videos without captions or where the auto-captions are wrong. Most competitors don't offer a real ASR alternative, so they can't help when the caption fetch fails. Use whichever URL paste tool you prefer for videos with good captions; use ours when captions are missing, wrong, or when you need file formats and multi-language support that competitors gate behind higher tiers.

Not through the free URL paste tool — it processes one URL at a time. For higher volume, sign in and use the in-app bulk upload: drag and drop up to 50 audio or video files at once, choose your export formats, and download the batch as a single ZIP with original filenames and a CSV manifest. For YouTube specifically, you'd download the videos (or their audio tracks) first, then bulk-upload. This is the right path for back-catalog processing, course-library retrofits, or channel-wide accessibility work.