Local Processing

Subtitle Cleaner Online

Clean subtitle text with explicit options while preserving what you need.

Runs locallyNo uploadYour input is processed in your browser.
Subtitle Cleaner online tool preview
Subtitle Cleaner Online Clean subtitle text with explicit options while preserving what you need.

Subtitle Cleaner

Clean subtitle text, remove tags, normalize whitespace, and keep cue timing.

What this tool does

The cleaner applies only the selected cleanup rules to subtitle text, such as removing indexes, timestamps, speaker labels, tags or repeated blank lines.

What it measures or changes

  • Optional index and timestamp removal
  • Optional speaker-label and HTML-tag removal
  • Whitespace and punctuation normalization
  • Duplicate blank-line cleanup

Technical details

  • Cleanup options are independent and only enabled rules are applied.
  • Removing timestamps creates plain text rather than a valid timed subtitle file.

Common errors

  • Removing speaker labels that are meaningful.
  • Expecting tag removal to repair invalid cue timing.

Best practices

  • Preview a short sample with the chosen options.
  • Keep timestamps when the output must remain a subtitle file.

Examples

Prepare captions for translation.

Input example
[ALEX] Hello world , <i>LumaTool</i>
Output example
Hello world, LumaTool

Cleanup options are independent and only enabled rules are applied.

Extract clean dialogue for a transcript.

Input example
1
00:00:01,000 --> 00:00:03,000
Output example
Hello world

Removing timestamps creates plain text rather than a valid timed subtitle file.

Remove formatting tags before review.

Input example


Output example

              

Cleanup options are independent and only enabled rules are applied.

Privacy note

Processing happens locally in this browser. Your text or file is not uploaded to LumaTool servers.

How to use

  1. Step 1. Enter or choose subtitle or caption text.
  2. Step 2. Select the options required for this task.
  3. Step 3. Run Clean subtitles and review validation messages.
  4. Step 4. Copy or download the cleaned text after checking the result.

Real-world examples

Prepare captions for translation

Prepare captions for translation.

Extract clean dialogue for a transcript

Extract clean dialogue for a transcript.

Remove formatting tags before review

Remove formatting tags before review.

FAQ

What input does Subtitle Cleaner Online accept?

[ALEX] Hello world , <i>LumaTool</i> 1 00:00:01,000 --> 00:00:03,000

How is the result produced?

Cleanup options are independent and only enabled rules are applied. Removing timestamps creates plain text rather than a valid timed subtitle file.

Is my input uploaded?

Processing happens locally in this browser. Your text or file is not uploaded to LumaTool servers.

Which options should I choose?

Choose only the options needed to turn subtitle or caption text into the cleaned text; the defaults preserve the least surprising behavior.

Can I use the result immediately?

Review validation messages and compare a representative sample before using the result in production.

Does it work on mobile?

Yes. The workspace and result controls adapt to desktop and mobile browsers.

What should I do when input is rejected?

Removing speaker labels that are meaningful. Expecting tag removal to repair invalid cue timing.

Is processing private?

Processing happens locally in this browser. Your text or file is not uploaded to LumaTool servers.

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