{"categories":[{"label":"Text Processing","url":"https://skillfed.io/packages/category/text-processing/3"}],"enrichment":{"capability":"Extracts text from images on macOS using Apple's Vision framework, returning recognized text with confidence scores and bounding boxes.","skillfed_tags":["macos-only","vision-framework","ocr"],"use_cases":["Extract text from screenshots or documents on macOS without external OCR dependencies","Batch process images to build searchable text indexes with confidence filtering","Create annotated images showing recognized text regions via PIL or matplotlib output","Implement language-specific OCR workflows by setting language preferences like 'en-US' or 'zh-Hans'","Integrate native macOS OCR into Python workflows where speed and native integration matter more than cross-platform support"],"what_it_does":"ocrmac wraps Apple's native Vision framework to perform optical character recognition directly on macOS, eliminating the need for external OCR engines like Tesseract or EasyOCR. You pass an image file path or PIL image object and receive a list of recognized text snippets, each with a confidence score and bounding box coordinates. The package supports two backends\u2014Vision (available on macOS 10.15+) and LiveText (macOS Sonoma+)\u2014and lets you tune recognition speed versus accuracy or specify language preferences for post-processing.\n\nThe main dependencies are Click (for CLI), pillow (for image handling), and pyobjc-framework-Vision (the bridge to Apple's native framework). It's designed for developers on macOS who want fast, built-in OCR without downloading large model files or managing GPU acceleration, though it only works on macOS systems.","worth_installing":"Yes, if you are on macOS and need straightforward OCR without external dependencies. The package is permissively licensed, has low install friction, and leverages native macOS capabilities. The aging maintenance status (218 days since release) is not a blocker\u2014the last commit was recent and the repository is active\u2014but verify that your macOS version meets the 10.15+ requirement and that LiveText features require Sonoma if you need them."},"id":"ocrmac","links":{"html":"https://skillfed.io/packages/ocrmac","md":"https://skillfed.io/packages/ocrmac.md","pypi":"https://pypi.org/project/ocrmac/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2026-01-08","license_spdx":null,"license_treatment":"permissive","name":"ocrmac","python_support":"supports_current","summary":"A python wrapper to extract text from images on a mac system. Uses the vision framework from Apple."},"popularity":{"monthly_downloads":84987,"position":13962,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.1"}