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Extract text from images on macOS with confidence scores and bounding boxes.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "macOS OCR MCP" yet — see the docs or source repo.
Use the macOS OCR MCP to recognize all text in this screenshot and output it in reading order, with confidence for each segment.
A list of recognized text from the screenshot, including confidence for each text segment.
Use the macOS OCR MCP to extract the name, date, and ID number from this form image and return their bounding box coordinates.
Recognized target fields along with each field’s position coordinates in the image.
Use the macOS OCR MCP to recognize this scanned document, organize the text into sections, and flag low-confidence content for manual review.
Structured document text with low-confidence portions highlighted for review.
Run local OCR and image analysis on macOS using Apple Vision.
Capture screens, extract text, and automate clicks on macOS interfaces.
Recognize images, extract text, and return structured JSON or tables.
Extract text from images and PDFs for search, organization, and automation.
Extract text and document structure from images for faster processing.
Use one OCR interface and evaluate multiple recognition engines for AI workflows.