# AnyListen/tools-ocr

树洞 OCR 文字识别（一款跨平台的 OCR 小工具）

Repository: https://github.com/AnyListen/tools-ocr
Canonical: https://ross.abutalabs.com/products/tools-ocr
Homepage: https://ifish.fun
Language: Java
License: LGPL-3.0
License Family: copyleft
Topics: mac, windows, ocr, cross-platform, javafx, screenshot
Last push: 2024-05-16T17:27:43+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2721, "days_push": 839, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3065, forks 482 (observed 2026-08-28T04:07:41.345114+00:00)

## What it is
Tree Hole OCR is a cross-platform desktop OCR tool built with Java and JavaFX that performs offline text recognition using Paddle OCR models via DJL and PyTorch. It supports screenshot-based region selection with hotkeys, image text recognition, and PDF recognition.

## Use cases
- extract text from screenshots with a hotkey
- recognize text in images offline without internet
- copy text from PDFs that don't allow selection
- OCR a selected screen region
- extract Chinese and English text from images

## When to choose
- you need offline OCR on Mac or Windows
- you frequently copy text from screenshots or images
- you want a lightweight desktop tool rather than a cloud OCR API
- you need to extract text from PDFs

## When to avoid
- you need OCR on Linux (only Mac and Windows are supported)
- you need a programmatic OCR library or API to embed in your own code
- you require batch server-side OCR at scale
- your macOS is older than 12.6

## Facets
- artifact type: application
- maturity: active
- function: ocr, image-processing, pdf, gui
- domain: computer-vision, image-processing, pdf, developer-tools, cross-platform
- platform: windows, cross-platform, jvm
- tags: screenshot-ocr, javafx, paddle-ocr, offline-ocr, text-recognition, macos, desktop

## Member repositories
- AnyListen/tools-ocr (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:41.345114+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 2026-08-30T07:28:13.166907+00:00, confidence not recorded.
  - readme: https://github.com/AnyListen/tools-ocr (fetched 2026-08-28T04:07:41.345114+00:00, sha 5d144916e14a)
- Data as of 2026-08-30T08:39:29.467469+00:00.