# schappim/macOCR

Get any text on your screen into your clipboard.

Repository: https://github.com/schappim/macOCR
Canonical: https://ross.abutalabs.com/products/macocr
Language: Swift
License Family: other
Last push: 2026-08-14T01:14:01+00:00

## Health v2 (maintenance only)
Score: 88/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 97, release rhythm 71, longevity 100
- inputs: {"age_days": 1932, "days_push": 20, "days_rel": 35, "gap_med": 99, "n_releases_24m": 2}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2426, forks 118 (observed 2026-08-28T04:06:50.843766+00:00)

## What it is
macOCR is a macOS command-line tool that captures a screen region you select and runs OCR on it, copying the recognized text (or QR/barcode payload) to your clipboard. It uses Apple's Vision framework entirely on-device, works offline, and requires no API keys.

## Use cases
- extract text from a screenshot into my clipboard
- copy text from a video or non-selectable pdf on screen
- read a qr code or barcode from my screen
- ocr part of the screen from the command line
- grab text from an error dialog i can't select
- script ocr text extraction on mac

## When to choose
- you're on macOS and want fast, offline, on-device OCR of anything on screen
- you want a scriptable ocr command that integrates with Alfred, Raycast, or Shortcuts
- you need to copy text that can't be selected, like images or video stills

## When to avoid
- you need OCR on Linux or Windows
- you need batch processing of image files rather than interactive screen capture
- you require a notarized/signed binary for strict security environments

## Facets
- artifact type: cli-tool
- maturity: active
- function: ocr, cli, computer-vision
- domain: developer-tools, computer-vision
- platform: cli
- tags: screen-capture, clipboard, qr-code, barcode, vision-framework, offline, swift, command-line, macos

## Member repositories
- schappim/macOCR (main) score 88

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:50.843766+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:31:41.173396+00:00, confidence not recorded.
  - readme: https://github.com/schappim/macOCR (fetched 2026-08-28T04:06:50.843766+00:00, sha 1ce65a5483a3)
- Data as of 2026-08-30T08:39:29.467469+00:00.