What does this subtitle analyzer measure?

It measures cue timing, characters per second, word-like tokens per timeline minute, line pressure, overlaps, and repeated normalized tokens. Those are properties of the subtitle track, not a score for the show or the person watching it.

Does LingoBinge upload or save my subtitle file?

No. The file is read and analyzed locally by your browser. Its name, text, tokens, and results are not uploaded, saved, placed in the page address, or included in analytics.

Does a high characters-per-second result mean a show is too hard?

Not by itself. Pace is useful context, but audio clarity, accent, vocabulary, grammar, subtitle fidelity, visual context, and your own experience all matter. The professional timing reference shown here is not a universal learner threshold.

Free Subtitle Analyzer: Pace, Timing and Repetition

Updated August 9, 2026

This free subtitle analyzer reports observable properties of an SRT or WebVTT track: how quickly text appears, how densely cues arrive, where timing or line pressure occurs, and how much vocabulary repeats. It runs entirely in your browser, uploads nothing, and does not turn file statistics into a learner-level or understanding verdict.

Your subtitle file stays in this browser.

Nothing is uploaded, saved, added to the page address, or included in analytics. Clear or reload the page to discard the local result.

Subtitle fileSRT or WebVTT, up to 2 MiB and 20,000 valid cues.Word segmentation languageThis helps the browser identify words. It does not detect or rate a language.

What this calculation can and cannot show

These are observable properties of one subtitle track. The 20 characters-per-second line is professional timing context, not a universal pass or fail mark for learners. This calculation cannot see audio clarity, accent, slang, grammar, subtitle fidelity, visual context, or the individual learner.

Pace uses visible characters after subtitle markup is removed. Density divides word-like tokens by the first-to-last cue timeline. Active time merges overlaps. Repeated coverage is the share of tokens whose normalized form appears at least twice.

Format and timing references

Embed or cite the open show difficulty dataset

Building a resource page or teaching a class? This tool is free to link to, and the dataset behind LingoBinge's show recommendations is free to download, cite, or embed.

Canonical source: https://lingobinge.com/research/netflix-show-difficulty-index. Updated August 9, 2026. Reuse the LingoBinge-owned annotations under CC BY 4.0.

Plain-text citation

LingoBinge Netflix show difficulty dataset. LingoBinge. Updated August 9, 2026. https://lingobinge.com/research/netflix-show-difficulty-index. CC BY 4.0.

HTML attribution

<cite>LingoBinge Netflix show difficulty dataset</cite>. LingoBinge. Updated August 9, 2026. <a href="https://lingobinge.com/research/netflix-show-difficulty-index">https://lingobinge.com/research/netflix-show-difficulty-index</a>. <a href="https://creativecommons.org/licenses/by/4.0/" rel="license">CC BY 4.0</a>.

Use with these limitations

This is a curated catalogue of learner-suitable title-language entries, not a random or representative sample of Netflix.
CEFR bands are editorial estimates for listening difficulty, not test results or guarantees that every learner will understand the same material.
Availability changes by country and over time; verify the title in your own Netflix catalogue before choosing it.
Rows with legacy-curated status predate the explicit review-state field and are not represented as evidence of a named human review.

Download the data

It is an exploratory, curated sample rather than a survey of Netflix. Free to download without a sign-up, and free to republish with credit.

Download CSV Download JSON Difficulty methodology Corrections log

Embed the finder

Paste this into your own page. It loads the live interactive finder, so it stays current on its own. Keep the credit line under it: that is the attribution the licence asks for.

<iframe src="https://lingobinge.com/tools/show-finder/embed" width="100%" height="720" loading="lazy" title="LingoBinge Netflix show difficulty finder"></iframe>
<p>Netflix show difficulty data by <a href="https://lingobinge.com/research/netflix-show-difficulty-index">LingoBinge</a></p>

Now put it to work. LingoBinge swaps Netflix subtitle words at your level, starting with the highest-frequency ones, and saves them for spaced review.

Add to Chrome, it's free

Frequently asked questions

What does this subtitle analyzer measure?: It measures cue timing, characters per second, word-like tokens per timeline minute, line pressure, overlaps, and repeated normalized tokens. Those are properties of the subtitle track, not a score for the show or the person watching it.
Does LingoBinge upload or save my subtitle file?: No. The file is read and analyzed locally by your browser. Its name, text, tokens, and results are not uploaded, saved, placed in the page address, or included in analytics.
Does a high characters-per-second result mean a show is too hard?: Not by itself. Pace is useful context, but audio clarity, accent, vocabulary, grammar, subtitle fidelity, visual context, and your own experience all matter. The professional timing reference shown here is not a universal learner threshold.