# amebalabs/TRex

Copy any text on your screen, stop retyping.

Repository: https://github.com/amebalabs/TRex
Canonical: https://ross.abutalabs.com/products/trex
Homepage: https://trex.ameba.co
Language: Swift
License: MIT
License Family: permissive
Topics: macos, productivity, ocr, textrecognition, tools, screenshot, swift
Last push: 2026-08-10T20:54:00+00:00

## Health v2 (maintenance only)
Score: 84/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 97, release rhythm 58, longevity 100
- inputs: {"age_days": 2021, "days_push": 23, "days_rel": 201, "gap_med": 60.5, "n_releases_24m": 5}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1896, forks 64 (observed 2026-08-28T04:05:50.783680+00:00)

## What it is
TRex is a macOS menu bar application that extracts text from any visible screen area using OCR, copying it directly to the clipboard. It works entirely offline, supports QR/barcode reading, global shortcuts, a CLI tool, and automation via URL schemes and Shortcuts.

## Use cases
- copy text from a pdf with non-selectable text
- extract text from a screenshot without retyping
- grab text from a youtube video frame
- copy text shown in a zoom screen share
- read a qr code from the screen and open its url
- trigger ocr capture from the command line or alfred

## When to choose
- you need to copy unselectable text anywhere on your mac screen
- you want a fast, offline, screenshot-style ocr workflow
- you want qr/barcode reading plus automation hooks like url schemes and shortcuts

## When to avoid
- you need ocr on windows or linux
- you need batch processing of many image or pdf files rather than on-screen capture
- you need editable ocr output with rich formatting preserved

## Facets
- artifact type: application
- maturity: active
- function: ocr, image-processing, cli
- domain: developer-tools, operating-systems
- platform: -
- tags: menu-bar-app, screen-capture, text-recognition, qr-code, clipboard, offline, url-scheme, alfred-integration, ocr, macos

## Member repositories
- amebalabs/TRex (main) score 84

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:50.783680+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 2026-08-30T03:12:49.805050+00:00, confidence not recorded.
  - readme: https://github.com/amebalabs/TRex (fetched 2026-08-28T04:05:50.783680+00:00, sha f2ef35b60bab)
- Data as of 2026-08-30T08:39:29.467469+00:00.