Create a time-aware transcript
Work from a stable copy of the video and preserve the original. Automatic speech recognition can provide words and rough times; manual transcription or a professional service can be appropriate where accuracy, accessibility, language, or delivery requirements are high. Correct the words against the audio before polishing line breaks.
Mark uncertain or inaudible passages honestly. Identify speakers only when needed and verified. Include important non-speech audio when the subtitle purpose requires captions for viewers who cannot hear it.
Write valid SRT cue blocks
Number cues in ascending order. Put a start and end timestamp on the next line using the form 00:00:00,000 --> 00:00:04,000. Add the text underneath and leave a blank line before the next cue. Save as plain UTF-8 text with an .srt extension.
SRT has common conventions but no single central standard that guarantees identical rendering in every player. Avoid relying on elaborate styling. Validate in the destination system.
Edit timing and readability together
Align the cue with speech, leave enough time to read, break at natural language boundaries, and avoid overlapping cue ranges. Keep line length and line count suitable for the target platform. Split rapid dialogue without losing speaker changes or meaning.
Automated segmentation can create one-word flashes, dangling articles, dense paragraphs, and timings that begin after the speech. Fixing those is part of subtitle authorship.
Test the entire file in context
Load the SRT beside the exact video. Watch the start, several dense exchanges, silent gaps, overlapping voices, music or sound cues, and the final cue. Scrub backward and forward to expose overlaps. Confirm that the delivery service did not alter encoding or timing.
The browser-local formatter on this site can create a starter timeline from separated paragraphs. Because it does not analyze the video, every generated time is an estimate awaiting alignment.