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video-subtitle-remover

8,315
1,034
Python

Project Description

基于AI的图片/视频硬字幕去除、文本水印去除,无损分辨率生成去字幕、去水印后的图片/视频文件。无需申请第三方API,本地实现。AI-based tool for removing hard-coded subtitles and text-like watermarks from videos or Pictures.

video-subtitle-remover: 基于AI的图片/视频硬字幕去除、文本水印去除,无损分辨率生成去字幕、去水印后的图片/视频文件。无需申请第三方API,本地实现。AI-based tool for removing hard-coded

Project Title

video-subtitle-remover — AI-based tool for removing hard-coded subtitles and text-like watermarks from videos and images

Overview

Video-subtitle-remover (VSR) is an AI-powered software designed to remove hard-coded subtitles and text-like watermarks from videos and images, preserving the original resolution without loss. It offers a local solution without the need for third-party APIs, providing a range of functionalities including custom subtitle removal and batch watermark removal for images.

Key Features

  • Lossless resolution subtitle and watermark removal
  • Advanced AI algorithms for filling removed text areas
  • Customizable subtitle removal based on defined positions
  • Automatic text removal for the entire video
  • Batch processing for image watermark removal

Use Cases

  • Video editors and content creators looking to remove unwanted subtitles from their media files
  • Individuals who want to clean up images with text watermarks for personal or commercial use
  • Researchers and developers working with AI-based image and video processing

Advantages

  • Local processing without reliance on external APIs
  • Supports various operating systems including Windows, macOS, and Linux
  • Offers both GUI and command-line interfaces for flexibility
  • Provides Docker support for easy deployment

Limitations / Considerations

  • Requires a certain level of technical knowledge for installation and setup
  • Performance may vary depending on the hardware and the complexity of the media files
  • May not be suitable for all types of subtitles or watermarks, especially those with complex backgrounds

Similar / Related Projects

  • DeepCreamPy: A deep learning-based video object removal tool, differs in its focus on object removal rather than text.
  • U2-Net: A real-time salient object detection model, which can be used for various image processing tasks but not specifically for subtitle removal.
  • RetinaFace: A face detection project that can be adapted for object detection, but it is not directly comparable to VSR's subtitle removal capabilities.

Basic Information


📊 Project Information

🏷️ Project Topics

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Project Information

Created on 10/25/2023
Updated on 10/30/2025