Transcribe a YouTube video
Most YouTube videos already carry a caption track, so transcription is instant — there is nothing to process. When a video has no captions at all, you can transcribe audio yourself, in the browser, without uploading it anywhere.
Free · no sign-up · unlimited
How it works
Try the link first
Paste the YouTube URL. If the video has captions, the transcript appears in a second or two.
If there are no captions
Use the file uploader in the app with your own recording. Speech recognition runs locally in your browser.
Work with the result
Read it, translate it, or generate summaries and study notes from it.
Caption extraction and real transcription are different jobs
These get conflated constantly, and the difference decides how fast the result arrives and how good it is.
Reading a caption track means fetching text that already exists. It takes a second or two regardless of video length, because no audio is processed. The quality is inherited: excellent if a human wrote the captions, mediocre if a machine did.
Real transcription means running speech recognition over audio to produce text that did not exist before. It takes real time and real compute, and it is the only option when there is no caption track. In this tool it runs in your browser on files you provide, which means the audio never leaves your device.
| Reading captions | Transcribing audio | |
|---|---|---|
| Speed | 1–3 seconds | Depends on length |
| Works without captions | No | Yes |
| Audio leaves your device | N/A | No — runs locally |
| Quality depends on | Who wrote the captions | Audio clarity |
Getting better results from automatic transcription
Speech recognition is far more sensitive to audio conditions than to subject matter. A clearly recorded conversation about quantum mechanics transcribes better than a muffled one about the weather.
- Clean audio matters more than anything else — background music is the single biggest source of errors.
- One speaker at a time. Overlapping speech tends to produce dropped words rather than garbled ones, which is harder to spot.
- Expect proper nouns and specialist terms to be wrong, and check them first.
- Longer recordings do not degrade in accuracy; they simply take longer.
How speech recognition actually fails
Knowing the failure modes is what lets you trust a transcript selectively instead of either wholesale or not at all.
The commonest failure is substitution, not omission. A recogniser rarely leaves a gap; it emits its best guess, and that guess is a real word. So errors do not look like errors — they look like the speaker said something faintly odd. This is why checking a transcript against your memory of the audio catches far more than reading it in isolation.
Mistakes are also systematic. The same model makes the same substitution every time a word occurs, so one misheard name is wrong in all forty places it appears. Finding it once tells you to fix it everywhere.
And confidence is uniform. Nothing distinguishes a word the system was certain about from one it guessed, which is precisely the information a careful reader would want.
Which route to take, and how to tell
The decision between reading existing captions and transcribing audio yourself is usually made for you by whether captions exist. When both are available, a few things separate them.
Speed favours captions overwhelmingly. Reading a caption track is a fetch; transcribing audio is computation proportional to the length of the recording. For a two-hour lecture that is the difference between a second and a noticeable wait.
Accuracy can favour either. A creator-written caption track beats automatic transcription comfortably. An automatic caption track and in-browser transcription are roughly comparable, since both are speech recognition working from the same audio.
Privacy favours local transcription, and unambiguously. Nothing leaves your device, which matters for recordings you would not want to hand to a service — interviews, meetings, anything containing personal information.
The practical rule: try the link first, because when it works it works immediately. Reach for audio transcription when there is no caption track, or when the file is yours and never went to YouTube at all.
What this can't do
- In-browser transcription depends on your device's speed; long files take a while on modest hardware.
- Automatic transcription of noisy or multi-speaker audio is materially less accurate.
- Only your own files can be transcribed from audio — this tool does not download media from YouTube.
- Results are displayed for reading; there is no export of caption text.
Frequently asked questions
Does it download the video?
- No. It reads the caption track YouTube already publishes, and never fetches video or audio files.
What if the video has no captions?
- Then there is nothing to read. For your own recordings you can transcribe the audio in the browser instead.
Is my audio uploaded anywhere?
- No. In-browser transcription runs entirely on your device; the file never leaves it.
How accurate is automatic transcription?
- Good on clear single-speaker audio, noticeably worse with background music, crosstalk or heavy accents.
Is it free?
- Reading transcripts is free and unlimited. AI summaries and notes are the paid tier.