# alisen39/TrWebOCR

开源易用的中文离线OCR，识别率媲美大厂，并且提供了易用的web页面及web的接口，方便人类日常工作使用或者其他程序来调用~

Repository: https://github.com/alisen39/TrWebOCR
Canonical: https://ross.abutalabs.com/products/trwebocr
Language: Python
License: Apache-2.0
License Family: permissive
Topics: docker, ocr, ocr-recognition, web, python3, python
Last push: 2023-06-14T16:03:13+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": 2315, "days_push": 1176, "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 2878, forks 625 (observed 2026-08-28T04:07:27.492193+00:00)

## What it is
TrWebOCR is an open-source offline Chinese OCR service built on the Tr project, exposing both a web UI and HTTP API for text recognition. It supports rotated text detection, CPU/GPU modes, and Docker deployment.

## Use cases
- extract text from chinese images offline
- self-host an ocr api server
- recognize text in screenshots or documents
- ocr captcha images
- call ocr from other programs via http
- deploy ocr service with docker

## When to choose
- you need offline Chinese OCR without cloud dependencies
- you want a ready-made HTTP API and web page for OCR
- you need Docker-based deployment on Linux servers

## When to avoid
- you need OCR for non-Chinese languages primarily
- you need Windows or macOS native deployment without Docker
- you need actively developed features or recent updates

## Facets
- artifact type: service
- maturity: maintenance
- function: ocr, http-server, image-processing, nlp
- domain: computer-vision, image-processing, self-hosted, developer-tools
- platform: python, self-hosted
- tags: chinese-ocr, offline-ocr, web-ui, rest-api, text-detection, linux, docker

## Member repositories
- alisen39/TrWebOCR (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:27.492193+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 2026-08-29T18:48:26.379562+00:00, confidence not recorded.
  - readme: https://github.com/alisen39/TrWebOCR (fetched 2026-08-28T04:07:27.492193+00:00, sha 2c0956426cb7)
- Data as of 2026-08-30T08:39:29.467469+00:00.