How to Create an SRT File from a Video
The correct SRT workflow depends on where the words come from. Reuse an existing caption track when available, transcribe clear speech when no text track exists, and use a separate OCR workflow only when the words are permanently burned into the picture.
Choose the workflow by text source
A selectable caption track exists
Extract or convert the track
Usually preserves the source timing and avoids generating new words from audio.
There is speech but no text track
Transcribe the audio
Create timed segments from speech, then proofread names, numbers, punctuation, and cue boundaries.
Words are part of the video image
Use video OCR
Sample frames, recognize text, remove duplicates, and rebuild timing. CueSift does not currently provide this workflow.
Original decision model based on source type. It is not a performance benchmark or a claim that every accessible video can be processed.
A reusable three-cue SRT template
Replace the text and timing rather than copying these sample statements into a real project. The example demonstrates structure only.
1
00:00:00,000 --> 00:00:02,800
Add the first subtitle here.
2
00:00:03,000 --> 00:00:05,600
Keep the timing in chronological order.
3
00:00:05,800 --> 00:00:08,400
Save and test the completed file.Continue learning
What is an SRT file?
Understand the output structure before creating a new subtitle file.
Read guideConvert YouTube to SRT
Use the public-link workflow when the source is a YouTube video or Short.
Read guideEdit an SRT safely
Fix structure, timing, overlap, and encoding before publishing.
Read guideSRT vs VTT
Decide whether the final output should stay SRT or become WebVTT.
Read guide