How to Convert TXT to SRT Without Losing Timestamps

Check what your text actually contains

A text transcript can contain time markers, ordinary paragraphs or existing SRT blocks. These need different handling. Start with a copy and identify one example near the beginning and one near the end. Do not assume a file extension describes its contents.

Transcript Rescue recognizes supported markers at the start of a line. It can retain following lines as part of that cue. In Auto-detect mode, valid SRT start and end times are retained. Plain text uses estimated durations instead of recovered audio timing.

Convert a small timestamped example

Paste the following sample into the workbench and select Auto-detect. Use a final cue duration of three seconds, then choose Parse and check. The first cue starts at two seconds and ends at the next later anchor, five seconds. The last cue ends at eight seconds because of the final-duration setting.

[00:02] First caption.
Continued caption.
[00:05] Final caption.

Download the synthetic timestamped TXT ↓

Download its checked SRT output ↓

Review the result before exporting

1. Read each source-line reference to confirm that text was assigned to the intended cue.
2. Check any estimated cue, invalid timestamp, duplicate start, overlap or out-of-order warning.
3. If you choose Sort by start time, inspect the proposed changes before confirming. Keep the source copy.
4. Play the exported SRT alongside the intended media. Adjust timing and text where your listening check requires it.

Why a conversion can still need manual work

A text file cannot prove when a spoken sentence ends. Even when starts are supplied, an inferred end may leave a caption visible through a long silence. Treat the generated file as a checked editing draft, not a measurement of speech.

The workbench does not transcribe audio, align speech, translate text or validate a particular video player. Its file limit is 2 MiB, with parsing limits of 200,000 characters and 2,000 lines. Split larger work into intentional batches and preserve the original transcript.

Can this transcribe audio or synchronize captions to speech?

No. Transcript Rescue reads existing TXT or SRT text. Plain text receives estimated timing; supported timestamp anchors supply starts. Use a separate transcription or audio-alignment workflow when that is your task, then review its output.

Will renaming a TXT file make a usable SRT?

No. SRT needs cue blocks and start/end time lines. Parse a copy, review the generated intervals and export a separate SRT. Test it with your recording; a successful structural check does not prove synchronization.