https://github.com/leferrad/ocreract.jl

A simple Julia wrapper for Tesseract OCR
https://github.com/leferrad/ocreract.jl

julia julia-package ocr-engine wrapper-library

Last synced: 5 months ago
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A simple Julia wrapper for Tesseract OCR

• Host: GitHub
• URL: https://github.com/leferrad/ocreract.jl
• Owner: leferrad
• License: mit
• Created: 2018-07-05T15:56:05.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2024-08-12T04:17:57.000Z (over 1 year ago)
• Last Synced: 2025-10-06T22:40:50.771Z (5 months ago)
• Topics: julia, julia-package, ocr-engine, wrapper-library
• Language: Julia
• Size: 792 KB
• Stars: 29
• Watchers: 1
• Forks: 9
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# OCReract.jl

*A simple Julia wrapper for Tesseract OCR*

[![CI](https://github.com/leferrad/OCReract.jl/actions/workflows/CI.yml/badge.svg)](https://github.com/leferrad/OCReract.jl/actions/workflows/CI.yml)

[![Documentation](https://img.shields.io/badge/docs-dev-blue.svg)](https://leferrad.github.io/OCReract.jl/dev)

[![Coverage Status](https://codecov.io/gh/leferrad/OCReract.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/leferrad/OCReract.jl)

[![Join the chat at https://gitter.im/OCReract.jl](https://badges.gitter.im/OCReract.jl.svg)](https://gitter.im/OCReract-jl?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)

## Installation

From the Julia REPL, type `]` to enter the Pkg REPL mode and run:

```julia-repl

pkg> add OCReract

```

This is just a wrapper, so it assumes you already have installed [Tesseract](https://tesseract-ocr.github.io/tessdoc/Installation.html). Also, be sure the binary `tesseract` is in your PATH (you can check this by running `tesseract --version` in your terminal).

## Usage

This is a simple example of usage. For more details check the [Documentation](https://leferrad.github.io/OCReract.jl/dev).

```julia

julia> using Images

julia> using OCReract

julia> img_path = "/path/to/img.png";

# With a disk file

julia> run_tesseract(img_path, "/tmp/res.txt", psm=3, oem=1)

# Image in memory

julia> img = load(img_path);

julia> res_text = run_tesseract(img, psm=3, oem=1);

julia> println(strip(res_text));

```

## Testing

In a Julia session, run `Pkg.test("OCReract", coverage=true)`.

## Next steps

- Develop a module for image pre-processing (to improve OCR results)