SRT — Intentionally Corrupt: Non-Numeric Cue Index
An intentionally corrupt SubRip file with two separate index problems: the first cue is numbered with a word, and index 2 is then used twice. SubRip indices are advisory rather than load-bearing, so this distinguishes parsers that key cues by index — and lose one to the collision — from those that do not.
one
00:00:01,000 --> 00:00:03,000
The index above is a word, not a number
2
00:00:03,500 --> 00:00:06,000
Second cue is fine
2
00:00:06,500 --> 00:00:09,000
Duplicate index 2
Specifications
- Corruption
- non-numeric index, then a duplicate index
- Cues
- 3
- Duplicate Index
- 2
What is a .srt file?
SRT (SubRip) is a plain-text subtitle format listing numbered cues, each with a start and end timecode and one or more lines of text. It is simple, human-readable, and extremely widely supported by players. It carries no styling metadata beyond basic inline tags.
How to use this file
Use an example SRT to test subtitle parsing, timecode handling, and converters that translate between SRT and WebVTT or other caption formats.
How to use this file for testing
“SRT — Intentionally Corrupt: Non-Numeric Cue Index” is a deterministic Novus Examples fixture for Subtitle parsing, Video QA. The same captions across SubRip, WebVTT, ASS/SSA, SBV, and TTML, plus a synced LRC lyric file — for testing subtitle parsers, players, burn-in tools, and format converters against known timings.
Documented properties for this file: 3 cues. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.
Media fixtures are short and synthetic by design. Prefer waveform or transcript ground truth in the same group when measuring ASR, trim, upscale, or sync tools; do not assume broadcast-quality masters.
Parse the cues and check timings against the documented count; the same captions ship across subtitle formats so you can diff a converter against a known target.
Code examples
<video controls src="clip.mp4">
<track kind="captions" srclang="en" label="English" src="bad-index.srt" default>
</video>Related files
- assASS — Karaoke Timing and Override TagsAdvanced SubStation Alpha using the features that distinguish it from SubRip: per-syllable \k karaoke timings in centiseconds, a full V4+ style definition with primary and secondary colours, and an \an override that repositions a line. Converting this to SRT necessarily loses all of it, which makes it a good test of whether a converter warns about that or drops it silently.
- csvCSV — Cue Timing ReportPer-cue timings and text metrics for the shared cue list, as a caption QC tool would export them: start, end, duration, line count and character count. Useful as the expected output when testing a caption analyser, and as a quick way to check reading-rate calculations against known values.
- dfxpDFXP — TTML Under Its Other ExtensionTimed text as DFXP — byte-for-byte a TTML document, just under the extension Netflix, Adobe and older captioning tool-chains still use. Same tt root, same head/body/div/p structure, same styling and region attributes. It exists to check that a caption parser dispatches on document content rather than on the file extension: a parser that accepts .ttml but rejects an identical .dfxp is exactly the bug this catches.
- jsonJSON — Caption Cue ListThe same five cues as a plain JSON array with float second timings — the shape most caption pipelines use internally between parsing one format and writing another. Handy as the expected intermediate when testing a converter, since it removes timestamp-formatting differences from the comparison.
- jsonJSON — Timed-Text Suite IndexA machine-readable index of all 67 timed-text, streaming-manifest and ad-signalling fixtures in this wave, with id, format, path and byte size for each. Useful as a work-list when running a parser across the whole suite, and as a manifest to diff against after regenerating.
- lrcLRC — Enhanced Word-Level TimingEnhanced LRC with per-word timings in angle brackets alongside the usual per-line timestamps — the format karaoke and lyric-sync apps consume. Includes the standard metadata tags, an offset field, and a final empty timestamp that clears the display. Simple LRC parsers read only the line timings and silently render the word markers as visible text.
Generated by generation/video_timedtext.py. Free for any use, no attribution required — license.