TXT to SRT Converter

Convert TXT to SRT in your browser. Turn transcript text into timed subtitle cues, review the timestamps and download captions without uploading the source.

Processed locally

AVAILABLE CONVERTERS

About TXT and SRT

Learn about the source and output formats used in this TXT to SRT conversion.

SOURCE FORMAT

TXT

TXT stores plain text without subtitle styling and is useful for transcripts.

Open TXT Converter
OUTPUT FORMAT

SRT

SRT is a simple, widely supported subtitle format containing numbered cues and timestamps.

Open SRT Converter
InputTXT
OutputSRT
Best forcaption publishing and player compatibility

About this tool

About TXT to SRT

Turn a plain transcript into a timed SRT subtitle file. The tool separates text into cues, applies subtitle timestamps and gives you an editable result to check before downloading.

Why convert TXT to SRT?

SRT is supported by common video players, editors and publishing platforms, while a TXT transcript usually contains only lines or paragraphs. This conversion is useful when you already have the spoken text and need a first subtitle timeline to refine—not an automatic speech transcription.

What changes during conversion?

Plain TXT normally has no timing information. This converter turns each non-empty line into one cue, starting a new cue every three seconds and displaying it for 2.5 seconds. These are fixed starting timestamps, not detected speech timing or a selectable duration. Review every cue against the video and use Subtitle Sync Tool when the complete track needs an offset.

How to convert TXT to SRT

  1. Paste transcript text or add a supported TXT file.
  2. Put each intended subtitle cue on its own line; blank lines are ignored.
  3. Generate the SRT and inspect sequence numbers, timestamps and line breaks.
  4. Download the file, then test it with the target video.

TXT and SRT example

A TXT transcript can contain a sentence such as Welcome to the tutorial. without any timing. An SRT cue adds a sequence number and a start/end timestamp:

1
00:00:00,000 --> 00:00:02,500
Welcome to the tutorial.

The times above are an example, not detected speech timing. Review each generated cue against your recording. Use the Subtitle Editor to review and edit subtitle text or the Subtitle Sync Tool to shift a track that is uniformly early or late.

Processing limits and privacy

Text processing happens on this device, so the transcript does not need to be uploaded to zer.ai. UTF-8 gives the most predictable result. Remove blank placeholders and check unusual punctuation before generating a long track.

Compatibility checklist

  • Keep the original source until the output has been verified.
  • Open the result in the application or platform where it will be used.
  • Check every generated timestamp against the video; TXT input does not contain speech timing.
  • Keep subtitle lines readable and split long sentences into shorter cues.
  • If decoding fails, try a current browser and a smaller known-good sample.

For the reverse direction, use SRT to TXT. To change subtitle formats without inventing timestamps, try SRT to VTT or the Subtitle Converter.

Three simple steps

How it works

  1. 1
    Choose

    Add a supported file or paste your content.

  2. 2
    Process

    The tool works locally in your browser when supported.

  3. 3
    Download

    Save the result directly to your device.

Frequently asked questions

TXT to SRT FAQ

How do I convert TXT to SRT?

Paste a transcript or open a TXT file, generate the subtitle cues, review their timing and download SRT. Check the result against the original recording.

Does TXT to SRT detect when words are spoken?

No. Plain text has no speech timing. The tool creates an initial cue timeline from the text order and available settings; you must review and correct it.

Can I edit the generated timestamps?

Use the SRT Editor for individual cues or Subtitle Sync Tool when the whole track needs a timing offset.

Can I turn an audio file into subtitles here?

No. TXT to SRT expects text rather than performing speech recognition. Prepare a transcript before using this tool.

Is the transcript uploaded?

No. Supported text processing runs locally in your browser.