Remove hardcoded subtitles from MP4 and MOV videos using OCR technology to detect and erase text while preserving original video content.
MIT
466,680 tools. Updated 2026-08-19 19:53
"Optical Character Recognition (OCR) Technology" matching MCP tools:
- Extract text from PDF documents (single or multi-page) using Yandex Vision OCR with asynchronous recognition. Supports models for page, table, handwritten, and markdown output.MIT
- Extract and process images from file paths for visual content analysis, OCR text extraction, and object recognition. Supports screenshots, photos, diagrams, and documents in PNG, JPG, GIF, and WebP formats.MIT
- Extract text from any image in your clipboard using optical character recognition, enabling text-based AI models to read image content without manual saving.MIT
- Retrieve the current OCR recognition languages to confirm which languages are configured for text extraction.MIT
- Extract text from images using optical character recognition. Supports PNG, JPEG, SVG with adjustable detail and model modes for standard or deep document understanding.MIT
Matching MCP Servers
- AlicenseBqualityCmaintenanceCompress OCR-heavy PDFs into dense packed images so agents can work with long visual documents.31MIT
- AlicenseAqualityCmaintenanceMCP server that converts file contents into compact, line-numbered PNG images for vision models to read, reducing token usage by roughly 7x for large files.3MIT
Matching MCP Connectors
OCR for images and Korean ID documents
Arabic-first OCR, translation and document extraction. First call mints a free trial key.
- Extract text from image files and URLs via optical character recognition. Ideal for screenshots, scanned documents, and photos.MIT
- Extract text from a screen area or image file using OCR. Specify coordinates, dimensions, or filepath to capture recognizable text, with optional line break control.MIT
- Extract images from local files for visual analysis, OCR text extraction, and object recognition in screenshots, photos, diagrams, and documents.Apache 2.0
- Extract text from images using OCR technology. Supports multiple languages and processes files locally for privacy-focused text recognition.MIT
- Specify the language codes for OCR text recognition on your Mac screen. Change detected languages to match content.MIT
- Perform OCR on scanned PDFs to make them searchable. Extract text from image-based PDFs to allow searching and copying.
- Retrieve HTR/OCR recognition models assigned to a specific collection. Filter by provider, sort column, or paginate results.Functional Source , Version 1.1, MIT Future
- Retrieve supported languages and codes for optical character recognition to ensure accurate text extraction from images.
- Extracts and returns information encoded in QR codes from image URLs using optical character recognition.MIT
- Convert images of office documents into editable text using optical character recognition (OCR).MIT
- Extract key information from Chinese ID cards using optical character recognition. Identify text fields such as name, ID number, and address from uploaded images.MIT
- Extract text from images using optical character recognition. Supports optional prompts and handles contexts up to 32k tokens.MIT
- Extract text from images using DeepSeek OCR. Supports custom prompts for specific recognition needs.MIT
- Run optical character recognition on an image (png, jpg, webp, bmp) and return the recognized text with a confidence score. Supports 100+ languages via the language parameter (ISO 639-2 codes like 'eng', 'deu', 'fra', 'spa').Connector