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Script Length to Runtime Calculator (by YouTube Category)

Enter a script word count to see the finished runtime it fills, or a target length to see the word budget, at the median pace real videos ran at. The paces are medians of caption words per minute from the YouTube Script Benchmarks sample of 3,074 videos across 1,310 channels, and every answer shows the middle half of paces as a range.

Middle half of this slice: 155 to 203 wpm across 3,074 videos.

Enter a word count to see the runtime it fills at this pace.

Minutes (10.5) or mm:ss / h:mm:ss (10:30, 1:05:00).

Enter a target length to see the word budget at this pace.

Results are arithmetic on the pace you pick: caption words per minute of finished video, pauses and B-roll included. The estimate is spoken-word time, not a prediction of your edit.

How the pace numbers work

The pace numbers are medians of caption words per minute of finished runtime, computed for Prepublish's YouTube Script Benchmarks: 3,074 English videos from 1,310 channels, at most 10 videos per channel, published between 2008-08-22 and 2026-10-08. Captions were fetched between 2026-09-23 and 2026-10-24, and each video carries YouTube's own category label.

A median of 179 wpm means the middle video in the sample carried 179 caption words per minute of finished video, pauses and B-roll included. It is not how fast a host talks: the denominator is the whole video, so a read-aloud without gaps lands above it. That is why the calculator answers with a range: at the 203 wpm 75th-percentile pace the same word count fills less time, and at the 155 wpm 25th-percentile pace it fills more.

The general words-to-minutes calculator converts with fixed round presets, so one pace serves every topic; this one uses the per-category medians from the same study. To get the word-count input, paste the draft into the script word counter. Length targets differ by format: the script length guide covers the word counts videos actually carry, the documentary breakdown plans long-form narration, and the two-column A/V script shows how to lay narration against visuals.

Median words per minute by YouTube category

The named categories span 175 to 188 wpm at the median. The middle half is the 25th to 75th percentile of that row's videos.

CategoryMedian (wpm)Middle half (wpm)
All videos (median)179155 to 203
Education181155 to 203
People & Blogs177154 to 202
Science & Technology188166 to 207
Entertainment175156 to 200
Gaming185160 to 207
Howto & Style177156 to 200
Other categories167141 to 190

How to read this: pick the row for your video's YouTube category and use its median as the default pace, with the middle half as the planning range. All videos (median) is the whole sample. Sample: 3,074 videos from 1,310 channels; category labels are YouTube's own, fetched 2026-10-30. Source: the YouTube Script Benchmarks.

Frequently asked questions

How long is a 1,500-word YouTube script?

At the median pace of 179 wpm across the 3,074 videos in our benchmarks, 1,500 words fills about 8:23 of finished video. The middle half ran between 155 and 203 wpm, so the honest range is 7:23 at the fast end to 9:41 at the slow end. Pick a category above and the same math runs at that category's pace.

Which pace should I use for my video?

Find your category in the table above and start from its median: Education videos ran 181 wpm at the median, while the slowest named category, Entertainment, ran 175. Treat the middle half in each row as the planning range rather than a rule. If nothing fits, the All videos median of 179 wpm is the honest fallback. A pace you measure on your own published videos beats any of these numbers.

Do these numbers include pauses and B-roll?

Yes. Each pace is caption words divided by finished video length, so it counts the words that fill a minute of video. It is not how fast a host talks: because the runtime includes pauses, B-roll and music, a finished video carries fewer words per minute than the narrator's own speaking rate. If your edit has more non-speech time than a typical video in your category, the finished runtime will come in longer than the estimate.

How is this different from the words-to-minutes calculator?

The general words-to-minutes calculator converts with round fixed presets alongside the overall measured pace, so one answer serves every topic. This tool swaps those presets for per-category medians from the same benchmark study of 3,074 videos, so an Education script plans at 181 wpm, the median Education videos actually ran. Both directions use the same arithmetic: words divided by pace, or pace multiplied by minutes. Only the pace differs.

How accurate is the runtime estimate?

The arithmetic is exact, but the pace is a median from one sample: 3,074 English videos across 1,310 channels, capped at 10 videos per channel. Treat the output as a planning range, not a schedule for your edit. Retakes you cut, pauses you keep and B-roll you add all sit on top of the spoken estimate, and your own published videos are the best data on where your runtime lands relative to it.

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