Local Processing

Subtitle Cleaner Online

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

Runs locallyNo uploadYour input is processed in your browser.

Subtitle Cleaner

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

Examples

Example

Input example
Messy captions: 1
00:00:01,000 --> 00:00:02,000
[ALEX] Hello , <i>world</i>
Output example
Clean text: Hello, world

Subtitle Cleaner processes this example in the browser and lets you inspect the result before copying it.

Workflow example

Input example
Copied text, code, value, or file content
Output example
Subtitle Cleaner result with readable output and validation feedback

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

Privacy note

This tool processes your input locally in your browser. Your text, code, file, or generated value is not uploaded to LumaTool servers.

How to use

  1. Step 1. Open the Subtitle Cleaner page and paste or enter your input.
  2. Step 2. Choose the action, options, or format you need.
  3. Step 3. Review validation messages before using the result.
  4. Step 4. Copy the output or download it when a download action is available.

Real-world examples

Remove speaker labels, HTML tags, duplicated blank lines, and noisy...

Remove speaker labels, HTML tags, duplicated blank lines, and noisy caption artifacts from SRT or VTT.

Clean YouTube auto-caption text before translation, voice preview, ...

Clean YouTube auto-caption text before translation, voice preview, or bilingual subtitle editing.

Normalize punctuation spacing while preserving subtitle timing when...

Normalize punctuation spacing while preserving subtitle timing when needed.

Common use cases

  • Remove speaker labels, HTML tags, duplicated blank lines, and noisy caption artifacts from SRT or VTT.
  • Clean YouTube auto-caption text before translation, voice preview, or bilingual subtitle editing.
  • Normalize punctuation spacing while preserving subtitle timing when needed.
  • Prepare transcript text for course notes, blog summaries, and localization review.
  • Compare cleaned subtitle text before passing it into Subtitle Translator or TTS Preview.
  • Clean subtitle text, remove tags, normalize whitespace, and keep cue timing.

FAQ

Is Subtitle Cleaner free?

Yes. Subtitle Cleaner is available as a free LumaTool web tool.

Do I need to sign in?

No sign-in is required for the public tool pages.

Will my input be uploaded?

No. This tool processes input locally in your browser.

Does it work on mobile?

Yes. The editor, buttons, and result areas are designed for mobile and desktop browsers.

Can I copy or download the result?

Ready tools include copy actions, and file-oriented tools include download actions where useful.

What is Subtitle Cleaner best used for?

Subtitle Cleaner is useful for focused video & subtitle tools tasks where you need a quick browser-based result without switching tools.

How is my input handled?

This tool processes your input locally in your browser. Your text, code, file, or generated value is not uploaded to LumaTool servers.

Can I use the output in production work?

Yes, but review the result before applying it to production systems. LumaTool helps with utility work, validation, and formatting, but final decisions stay with you.

Related tools

Featured Extension

YouTube Translator & Dubbing Extension

Also building video workflows? The YouTube subtitle extension is in development.

Learn More