mac-ocr
mac-ocr is a Computer vision skill for AI agents, published by privatenumber in the mac-ocr repository on GitHub. Skillspace rates mac-ocr D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Run the `mac-ocr` macOS CLI (or its Node.js API) to recognize text in images and PDFs, or to create a searchable PDF (from a scanned PDF or an image) with an invisible selectable text layer. Use when asked to OCR, extract, or read text from an image or PDF, stream text from a large PDF page by page, make a scanned PDF searchable/selectable, or convert an image (PNG, JPEG, HEIC, …) into a searchable PDF — on-device via Apple's Vision framework (no cloud, no API key). Prefer it over sending images to a multimodal model when you need fast, accurate, local, cheap text extraction. Covers the default OCR action (text/JSON/JSONL output, batching, stdin, URLs, languages, regions, encrypted-PDF passwords), the `searchable-pdf` and `languages` subcommands, and the Node API (`ocr`, `ocr.pages`, `createSearchablePdf`, `supportedLanguages`). macOS only; not for editing or replacing a PDF's existing text.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 472
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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