Free tool

YouTube word count and reading time

Paste a link to see how many words a video actually contains, how fast the speaker talks, and how long the same content takes to read instead of watch. No signup for your first few counts.

3 free extractions per day, no signup needed. Counting shares the plain transcript allowance — the counting itself happens in your browser and costs nothing extra.

How it works

The count is not an estimate from the runtime. It comes from the video's own caption track — the same one YouTube shows in the player.

  • Paste the video address. A watch link, a youtu.be short link, a Shorts link, an embed link or the bare 11-character video ID all work.
  • Our server fetches the caption track. Your browser never talks to YouTube and never holds a key.
  • Every number after that is worked out in your browser from the one response — words, characters, speaking rate, reading times. There is no second request, so nothing extra is spent on the maths.

Because the transcript is already there, you can reveal the full text and copy it with one button — handy when the word count was really a step towards drafting something from the video.

Reading is usually faster than watching

This is the number most people came for, and the arithmetic behind it is worth seeing plainly. Speech and reading run at different speeds, and the gap is large.

ActivityTypical rateTime for 6,000 words
Conversational speech130–160 wpmAbout 40 minutes
Fast presenter or podcast170–200 wpmAbout 32 minutes
Silent reading, careful200 wpm30 minutes
Silent reading, brisk250 wpm24 minutes
Skimming for one factMuch faster, with Ctrl+FSeconds

The tool uses 200 and 250 words per minute for the two reading estimates, and compares the conservative one against the runtime. Those are averages for ordinary prose — technical material, an unfamiliar language or a transcript with no punctuation all read slower, so treat the figure as a ballpark rather than a promise.

One caveat on the speaking rate: it divides the words by the whole runtime, silences included. A video with a long musical intro, gaps for demonstrations or a silent screen-recording stretch will report a lower words-per-minute figure than the speaker is actually producing while talking.

The daily limit

Anonymous visitors get three transcript extractions a day, shared with the transcript generator, because each one is a real fetch against YouTube. Counting the words afterwards is free — it happens in your browser and costs nothing on our side.

The summariseris the exception, and it draws on a tighter allowance of two AI actions a day. Not arbitrarily: summarising spends model tokens on top of the caption fetch, and plain extraction does not. We'd rather explain that than have you meet it as a surprise error. The counter above the tool always shows the balance the API reports, in its own wording, so it is the real number.

A free account raises both, with credits included and no card asked for.

What auto-generated captions get wrong

Every figure on this page inherits the accuracy of the caption track underneath it. For a word count that is mostly fine — a few misheard words barely move a total of several thousand. It matters more if you are working from the text itself.

  • Names, acronyms and jargon are the usual casualties of speech recognition, and crosstalk between speakers can drop words entirely.
  • Anything on screen is missing. Slides, code, charts and on-screen text leave no trace in a caption track, so a screen-heavy tutorial has fewer words than it has content.
  • Filler and punctuation vary.Some tracks keep every "um", some strip them; automatic captions often have little punctuation at all. Both shift the count slightly against what a word processor would say.
  • Videos without captions cannot be counted. If the uploader disabled them, or the video is private, deleted, region-locked or age-restricted, there is no track to read.
Manual captions beat automatic ones

When the creator uploaded their own captions, the text is punctuated and the words are right, so both the count and the reading estimate are closer to the truth. There is no way to tell from the outside which kind a video has — the quality of the text you reveal is usually the giveaway.

What people use it for

  • Deciding whether to read the transcript instead of watching — the comparison line answers that in one number.
  • Scoping a repurposing job: a 6,000-word transcript is a long-form article, a 1,200-word one is a newsletter section.
  • Checking a script's pace before recording, by measuring how fast a video you admire actually moves.
  • Estimating translation or subtitling cost, which is usually quoted per word or per character.
  • Sizing a transcript before pasting it into a model with a context limit.

For many videos at once, the same counts come back from the API for a video, a playlist or a whole channel — see the API reference or the cookbook for working examples.

Frequently asked questions

How many words are in a YouTube video?

It depends almost entirely on how fast the speaker talks. Ordinary conversational speech runs around 130 to 160 words a minute, so a ten-minute video is usually somewhere between 1,300 and 1,600 words. Fast presenters clear 190. Paste a link above and this tool gives you the exact count from the video's own caption track rather than an estimate.

How is the speaking rate calculated?

Words in the transcript divided by the video's duration in seconds, multiplied by sixty. Because it uses the full duration, long silences, music beds and intro sequences pull the number down — a video with a two-minute musical opening will read slower than the person actually speaks.

How long does a YouTube video take to read instead of watch?

Usually about a third to a half of the runtime. Most adults read prose at roughly 200 to 250 words a minute while most people speak at 130 to 160, so the transcript of a 30-minute talk is typically 10 to 20 minutes of reading. The tool shows both speeds and the exact time you would save on the video you paste.

Does the word count match what a document editor would show?

Close, but not always identical. The count comes from the caption track, which excludes anything only shown on screen and may render numbers, hyphenated words and filler differently from how you would type them. Auto-generated captions also drop the occasional word in crosstalk. Treat it as accurate to within a percent or two, not to the word.

Can I count words for a whole channel?

Not from this page — it is rate limited per visitor and works one video at a time. The API returns the same transcript with its word count and duration for a video, a playlist or an entire channel, so a bulk comparison is a short script rather than a lot of pasting.