Export SRT subtitles as JSON data
SRT to JSON is useful when a subtitle file needs to leave the world of players and enter the world of software. SRT is ideal for upload platforms and video playback, but it is not convenient for API payloads, automated checks, version comparison, search indexing, or analytics. JSON gives every cue a predictable object with timing and text fields that can be consumed by scripts and applications.
This converter parses numbered SRT blocks, reads each start time, end time, and caption body, then writes a formatted JSON array. Each object includes the cue index, human-readable timestamps, numeric second values, and subtitle text. That makes the output useful both for people reviewing the data and for code that needs consistent fields without parsing raw SRT syntax again.
When SRT to JSON is the better format choice
Use SRT to JSON when subtitles are part of a product workflow rather than just a delivery asset. Developers may need subtitles inside a database, a search index, a media API, or a test fixture. Localization teams may want structured data for QA dashboards. Researchers may need cue-level rows for text analysis, timing comparison, or machine learning datasets.
JSON does not replace SRT for publishing to video platforms, but it makes the subtitle content easier to integrate with internal systems. The original SRT remains the source file that players understand, while JSON becomes the working representation for validation, transformation, reporting, or automation. Keeping both formats gives teams a clean boundary between delivery and operations.
Fields included in the JSON output
The generated JSON includes index, start, end, startSeconds, endSeconds, and text. The timestamp fields preserve familiar SRT-style timing, while the second values avoid repeated time parsing in downstream code. This is helpful when calculating duration, reading speed, gaps, overlaps, or cue alignment against transcript segments.
Caption text is preserved as a string, including line breaks. If you plan to store the result in a database or send it to another API, keep the JSON structure intact and add extra properties instead of rewriting the timing fields. That approach makes it easier to convert JSON back to SRT later or compare the data with another subtitle source.
Private local conversion for automation
The conversion runs in your browser, so you can create structured subtitle data without uploading internal videos, client captions, unpublished course material, or research transcripts to a remote converter. Paste SRT, upload a file, inspect the JSON output, and download it as a normal .json file.
After exporting JSON, you can feed it into scripts, import it into a CMS, compare it in code review, or use the JSON to SRT tool to rebuild a delivery subtitle. For teams that move between editorial work and software automation, this page creates a bridge that keeps subtitle timing explicit and machine-readable.