YOUTUBE · TIMESTAMPED TRANSCRIPTS

YouTube Transcript with Timestamps

Read available captions, find a passage and export the lines you select.

Guest reading has a daily limit. Registered accounts can read available captions without a reading limit; transcription and AI features use allowances.

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Read, find, export

1

Check caption availability

Paste the video URL. The reader checks available captions first. Checking captions does not mean choosing audio transcription.

2

Choose a language track

Use an existing English or Chinese track when available. Automatic captions may split a sentence across several timestamped lines.

3

Select useful lines

Search for a phrase, follow its timestamp back to the video, then select the lines to copy or download as TXT or SRT.

A real caption excerpt

These are two consecutive automatic captions. Overlapping cue times and sentence fragments are retained from the source track.

1
00:00:08,960 --> 00:00:13,599
seven b-52s take off from barksdale air

2
00:00:11,519 --> 00:00:16,480
force base in louisiana
Source: Desert Storm - The Air War, Day 1 - Animated · The Operations Room · English automatic captions.

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A real run: a 12-minute Harvard lecture with human captions

This section is not a demonstration. On 27 September 2026 the lecture below was read, searched and exported on vidleaf.app as a guest, without signing in, starting from the box at the top of this page. Captions on YouTube can change, so the same video may give different results later.

The lecture is William Fisher, CopyrightX: Lecture 1.1, The Foundations of Copyright Law: Introduction (12 min 27 s), published on YouTube by the Berkman Klein Center for Internet & Society under a Creative Commons Attribution 3.0 license. The screenshots and excerpts below show its captions as they appeared in Vidleaf's reader.

The first caption lines appeared 3.2 seconds after “Check available captions” was pressed, under the heading “English · Human captions · 250 subtitles”. This lecture had been read on Vidleaf before, so the captions came from the shared cache. A video that nobody had read before took 8.3 seconds the same day.

Search results for fair use typed without quotation marks: 16 matches, including fairness at 03:07 and useful at 03:49, with the 05:35 line listed once for fair and once for use
1. Typed without quotation marks, fair use is searched as two keywords, and each also matches inside longer words. The search listed 16 matches from 15 lines, including “fairness”, “useful”, “used” and “because”. The 05:35 line appears once for each word.

Searching again for "fair use", in double quotation marks, returned a single line: 05:35, “as fair use and fair dealing.”

Transcript with the lines at 05:30, 05:33 and 05:35 selected; a bar at the bottom reads Selected 3 lines, Copy selected sentences, Selected TXT and Selected SRT
2. The matching line only ends a sentence that begins two lines earlier, so the lines at 05:30, 05:33 and 05:35 were selected. This screenshot was retaken later the same day in a narrower window, with the same three lines selected.

“↓ Selected SRT” downloaded this file, unedited:

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00:05:30,630 --> 00:05:33,210
The 9th lecture will examine the general defense

2
00:05:33,210 --> 00:05:35,540
to copyright infringement known variously

3
00:05:35,540 --> 00:05:39,090
as fair use and fair dealing.

“↓ Selected TXT” gave the same three lines with times in whole seconds, starting with “[00:05:30] The 9th lecture will examine the general defense”. “Selected Markdown”, in the Export menu, added the video title, the source link, the caption source and, for each line, a link that opens YouTube at that second (&t=330s for 05:30).

What this run shows

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Captions, transcription and translation

Captions are text already available from YouTube. Transcription creates text from audio and uses a transcription allowance. Translation creates another language version and uses an AI allowance. None of these makes a quotation authoritative: check the source video when accuracy matters.

Reading an available track does not require you to generate a summary. You choose the additional features you need.

If something goes wrong

Message or situationWhat to do
Video unavailable or privateCheck the URL and whether you can watch the public video on YouTube.
No captions availableReview the audio duration and your available allowance before choosing transcription.
Platform unavailable or request failedKeep your link and retry later. A failed caption check is not proof that captions do not exist.
Sign-in or verification failedKeep the entered link. Complete sign-in, or request a new verification code if the old one expired, then continue in the reader.

Get a YouTube transcript in the format you need

What you want to doChooseCheck before using it
Edit the wording in a notes appTXTThe selected language and whether you exported selected lines or the whole track.
Use a caption file in a compatible playerSRTThe video edition and synchronization at a few different timestamps.
Keep quotations and sources in research notesSelected Markdown or Copy citationThe source link, source label and whether a translation is machine generated.

Select a few lines and use a Selected export when you only need an excerpt. Use All TXT or All SRT for the current track. After changing pages, check the selected-line count: earlier selections may still be included. Downloading does not repair overlapping cue times, spelling errors or a sentence split across several caption rows.

A YouTube transcript with timestamps is useful because you can return to the passage. It is still necessary to check the video. An edited, removed or restricted original may no longer match an old link, even when saved text remains readable.

Find a passage without losing its context

Search for a distinctive term, then read the lines before and after the match. If an automatic caption misspells a name, search for a nearby common word instead. A timestamp opens the corresponding position on the original video. Listen to enough of the surrounding passage to establish who is speaking and what their statement refers to.

Caption lines are not necessarily complete sentences. A qualifier such as “if,” “might” or “not” can be on the preceding line. Select adjacent cues when needed, and check names, numbers and units before sharing. Selecting a short passage is different from asking AI to summarize it: the summary paraphrases, while the quotation should retain the original wording.

Choose an existing track in the language you need before requesting a translation. The interface language does not determine the video's language. Compare machine translations with the original, and do not silently fill in missing words or assign a real person's identity from a voice label. The source label tells you how text was obtained, not that a human has verified it.

For a worked export example, follow the bilingual-notes guide. It works through Harvard's “Justice” lecture on YouTube, from the English human captions to a note with timestamp links.

Questions before you start

Can I read and export YouTube captions without an account?

Yes. Read, search and export subtitled videos without signing in, with a daily limit on new reads. Signed-in users can read subtitled videos without a limit, use transcription, summaries and translation within their allowances, and save history and personal labels. Email code or Google; no phone number needed.

Choose an existing English or Chinese track first. Translation is a separate option when the video has no track in the language you need.

What if the YouTube video has no captions?

Let the caption check finish first. If it confirms that no captions are available, sign in and review the audio duration, remaining minutes and audio-processing notice before confirming transcription. A rate limit, regional restriction or failed request does not prove that captions are missing.

Transcription uses audio minutes; translation uses AI tasks. Reading existing captions uses neither. See the current allowances.

Does exporting a transcript publish my reading history?

The downloaded file is saved to your device. Exporting does not publish your personal jobs, reading history or speaker labels. Transcripts, translations and summaries are cached per video and can be reused by other readers; available saved results may also be readable by guests.

Reading results are not published as separate search-indexable pages. Check the source and attribution before sharing an export. See the privacy policy for data handling.

Keep the source with your notes

TXT is useful for plain-text notes; SRT includes cue times. Export only the lines you need, keep attribution and review machine-generated text before sharing it.