"Optical Character Recognition (OCR) Technology" matching MCP tools:

• immich_get_asset_ocrB

  immich-mcpC

  Retrieve all OCR (Optical Character Recognition) data for a given asset ID. Enables extracting text from images or documents stored in Immich.

  MIT

• remove_subtitleA

  All Voice Lab MCP ServerA

  Remove hardcoded subtitles from MP4 and MOV videos using OCR technology to detect and erase text while preserving original video content.

  MIT

• recognize_pdfA

  yandex-vision-ocr-mcpA

  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

• nula_ocr_statusA

  nulabg-mcpA

  Check OCR processing status, fetch recognized document lines, and view remaining OCR quota.

  MIT

• extract_image_from_fileA

  MCP Image ExtractorA

  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

• image_ocrA

  openmedia-mcpA

  Extract text from images with Tesseract OCR. Specify language and character limits for accurate results.

  MIT

• extract_text_from_clipboardA

  clipboard-vision-mcpB

  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

• get_ocr_languagesA

  FreezeText MCPA

  Retrieve the current OCR recognition languages to confirm which languages are configured for text extraction.

  MIT

• ocr_imageA

  videre-mcpA

  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

• ocrB

  Florence-2 MCP ServerB

  Extract text from image files and URLs via optical character recognition. Ideal for screenshots, scanned documents, and photos.

  MIT

• cleanshot_capture_textB

  cleanshot-mcpB

  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_image_from_fileC

  Extract-ImageA

  Extract images from local files for visual analysis, OCR text extraction, and object recognition in screenshots, photos, diagrams, and documents.

  Apache 2.0

• extractTextC

  MCP HydroCoder VisionB

  Extract text from images using OCR technology. Supports multiple languages and processes files locally for privacy-focused text recognition.

  MIT

• set_ocr_languagesC

  FreezeText MCPA

  Specify the language codes for OCR text recognition on your Mac screen. Change detected languages to match content.

  MIT

• ocr_recognizeC

  ddddocr Smithery MCP ServerB

  Extract text from images with OCR by providing base64-encoded image data. Optionally return confidence probability, apply color filters, or limit recognition to a specific character set.

  MIT

• ocr-pdfA

  ilovepdf-mcpA

  Perform OCR on scanned PDFs to make them searchable. Extract text from image-based PDFs to allow searching and copying.

  -

• list_ocr_languagesB

  OCR MCP ServerA

  Retrieve supported languages and codes for optical character recognition to ensure accurate text extraction from images.

  -

• baidu_ocr_qrcodeC

  GoldBeanC

  Extracts and returns information encoded in QR codes from image URLs using optical character recognition.

  MIT

• baidu_ocr_doc_officeC

  GoldBeanC

  Convert images of office documents into editable text using optical character recognition (OCR).

  MIT

• baidu_idcardC

  GoldBeanC

  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

• baidu_qianfan_ocrC

  GoldBeanC

  Extract text from images using optical character recognition. Supports optional prompts and handles contexts up to 32k tokens.

  MIT