What output format does the cleaner use?

The cleaner preserves the input format when reliable round-tripping is available. When it cannot preserve that format reliably, it outputs clean SRT for broad compatibility.

Is the subtitle cleaner free?

Yes, the subtitle cleaner is completely free with no sign-up, no watermarks, and files up to 50 MB each. It runs in any modern browser on desktop and mobile devices.

How do I clean an SRT file online?

Open this page, drop your SRT file, choose the cleanup options you need, and download the cleaned result. The file is processed locally in your browser, so private or unreleased subtitles are not uploaded.

Which tool should I use for SDH annotations, quality checks, and manual fixes?

Start with the dedicated [SDH remover](/sdh-remover/) when you need stronger hearing-impaired annotation removal. Then run the [subtitle checker](/subtitle-checker/) for structural QA and use the [subtitle editor](/subtitle-editor/) for any final text corrections.

Subtitle Format Cleaner

Remove formatting tags, audio effect annotations, fix spacing errors, and eliminate duplicate lines in your browser.

Drag & drop your subtitle file here

Drag and drop subtitle files here or click to browse

SRT, VTT, ASS, SSA, LRC, SBV, TTML, SCC, STL, SMI, TXT, JSON

Browser-Based Processing · Files Stay on Device

Core Processing Architecture

Why Use the Subtitle Cleaner?

Engineered for video editors and localization teams. Helps enforce common subtitle timing rules and formatting.

Remove unwanted HTML tags like bold, italic, font color, and class tags that clutter subtitle text.

Strip ASS override blocks such as bold, alignment, and italic commands from styled subtitles.

Delete hearing-impaired and sound-effect annotations: (applause), [music], [doorbell], and more.

Merge consecutive duplicate cues and extend the timing range automatically.

Fix OCR and transcription artifacts: double spaces, misplaced punctuation, and trimmed whitespace.

Remove empty subtitle entries left behind after aggressive cleaning.

Optionally strip speaker labels (NAME:) from transcript-style subtitles.

Output preserves the supported input format when reliable round-tripping is available, with clean SRT as the fallback.

Live Preview & Execution Pipeline

Subtitle Format Cleaner Live Execution Demo

dirty.srt

READYRaw Input

01.200♪ [Upbeat Synth Music] ♪
04.500Hello...   world!!
08.100Duplicate line
08.100Duplicate line

cleaned.srt

READYCleaned

04.500Hello, world!
08.100Duplicate line
11.400Verified syntax check

In-Memory Processing

File parsing, mutations, and time shifts for standard tools run in browser memory without sending subtitle files to our servers.

Millisecond Precision

Millisecond-accurate timecode parsing and arithmetic prevent synchronization drift across desktop and web players.

Fault-Tolerant Engine

Automatic multi-encoding detection and syntax sanitization gracefully handle malformed cues and unexpected linebreaks.

Production Workflows

Who Needs a Subtitle Cleaner?

Real-world scenarios across video post-production, course transcription, and global localization.

SCENARIO #1

Streaming Platforms

Prepare clean, tag-free subtitle tracks for review against platform delivery specs.

SCENARIO #2

Translators and Localization

Strip formatting markup and sound-effect annotations before feeding subtitles into CAT tools or translation memory.

SCENARIO #3

Accessibility Compliance

Remove HI annotations and redundant duplicates while preparing standard subtitle files for review.

SCENARIO #4

Content Creators

Fix spacing and formatting errors from auto-generated or OCR-extracted subtitles before publishing.

SCENARIO #5

Media Archivists

Batch-clean legacy subtitle collections to remove outdated markup and standardize on plain SRT.

SCENARIO #6

Educators and E-Learning

Prepare readable subtitle files for online courses by removing distracting annotations and duplicate lines.

SCENARIO #7

SRT Cleanup Before Delivery

Turn a messy SRT export into a plain, readable subtitle track by removing markup, duplicate cues, sound labels, and spacing errors in one pass.

Execution Pipeline

How It Works

Streamlined end-to-end processing pipeline engineered for speed and precision.

STEP 01

Upload & Import

Drag and drop your subtitle file into the upload area, or click to browse. Supported inputs include SRT, VTT, ASS, SSA, LRC, SBV, TTML, SCC, STL, and SMI.

PHASE 01

STEP 02

Format Analysis

The cleaner auto-detects the format and parses your file into structured subtitle cues.

PHASE 02

STEP 03

Configuration

Toggle cleaning options on or off - each option targets a specific type of unwanted content.

PHASE 03

STEP 04

Click to process

The cleaner applies all selected options in sequence and preserves the input format when reliable round-tripping is available.

PHASE 04

STEP 05

Verify & Export

Preview the result with before/after cue counts, then download the cleaned file.

PHASE 05

Engine Capabilities

Why Choose AllSubConverter?

Client-Side Privacy

Standard tools run in your browser so standard files are not uploaded to our servers.

Fast Local Parsing

Optimized processing engine parses and converts files directly in your browser.

Generous Batches

Up to 50 MB per file, 200 files or 1 GB total per batch.

Universal Compatibility

Runs in modern browsers across Windows, macOS, Linux, iOS, and Android.

Tool Suite

More Subtitle Tools

Subtitle Editor

Edit subtitle content and timings

Subtitle Sync & Timing Calibration

Adjust timing with millisecond precision

Subtitle Merger

Combine multiple subtitle files

AI Subtitle Translator

Translate to 19 built-in target languages

Batch Subtitle Converter

Convert multiple files at once

Frequently Asked Questions

It accepts SRT, VTT, ASS, SSA, LRC, SBV, TTML, SCC, STL, and SMI files. The format is auto-detected, and output preserves the input format when reliable round-tripping is available. SRT is used as the fallback.

HI annotations describe non-dialogue audio for deaf and hard-of-hearing viewers, like (applause), [music], or [doorbell]. The cleaner can remove these to produce a standard subtitle track without sound-effect descriptions.

Usually. The options target formatting markup, sound-effect annotations, and duplicate lines. A cue whose entire text is a hearing-impaired annotation can be removed, and speaker-label removal can affect transcript-style dialogue; it is off by default.

No. All cleaning happens entirely in your browser using JavaScript. Your subtitle files never leave your device, making the tool safe for confidential or unreleased content.

When two consecutive subtitle cues have identical text, the cleaner merges them into a single cue whose end time is the later cue end time. This keeps timing continuous while removing redundancy.

Yes. Every cleaning option is a toggle. Six options are enabled by default (HTML tags, ASS overrides, HI annotations, duplicates, spacing, empty cues). Speaker-label removal is off by default since it is more aggressive.

Ready to convert your subtitles?