remove_subtitle
Remove hardcoded subtitles from videos using OCR technology. Detects and eliminates burned-in text while preserving original video content for MP4 and MOV files up to 2GB.
Instructions
[AllVoiceLab Tool] Remove hardcoded subtitles from videos using OCR technology.
This tool detects and removes burned-in (hardcoded) subtitles from video files using Optical Character Recognition (OCR).
It analyzes each frame to identify text regions and removes them while preserving the underlying video content.
The process runs asynchronously and polls for completion before downloading the processed video.
Args:
video_file_path: Path to the video file to process. Only MP4 and MOV formats are supported. Maximum file size: 2GB.
language_code: Language code for subtitle text detection (e.g., 'en', 'zh'). Set to 'auto' for automatic language detection. Default is 'auto'.
name: Optional project name for identification purposes.
output_dir: Output directory for the processed video file. Default is user's desktop.
Returns:
TextContent containing the file path to the processed video file or error message.
If the process takes longer than expected, returns the project ID for later status checking.
Limitations:
- Only MP4 and MOV formats are supported
- Maximum file size: 2GB
- Processing may take several minutes depending on video length and complexity
- Works best with clear, high-contrast subtitles
- May not completely remove stylized or animated subtitles
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| video_file_path | Yes | ||
| language_code | No | auto | |
| name | No | ||
| output_dir | No |
Input Schema (JSON Schema)
{
"properties": {
"language_code": {
"default": "auto",
"title": "Language Code",
"type": "string"
},
"name": {
"default": null,
"title": "Name",
"type": "string"
},
"output_dir": {
"default": null,
"title": "Output Dir",
"type": "string"
},
"video_file_path": {
"title": "Video File Path",
"type": "string"
}
},
"required": [
"video_file_path"
],
"type": "object"
}