alimranahmed / laraocr
Laravel Optical Character Reader(OCR) package using different OCR engines like Tesseract
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Requires
- php: ^7.0|^8.0
Requires (Dev)
- phpunit/phpunit: ^9.5
This package is not auto-updated.
Last update: 2024-12-14 20:40:37 UTC
README
LaraOCR
Laravel Optical Character Reader(OCR) package using ocr engines like Tesseract under the hood.
Features
- Read text from image using WebUI/Programing Interface
- Can be used as Laravel Facade
- Configurable and extendable
Requirements
OCR Engine Tesseract should be install in the system(e.g. for ubuntu sudo apt-get install tesseract-ocr
). Follow Tesseract installation guide here. Make sure from the command line you have the tesseract
command available.
Installation
Execute the following command in your terminal while you are in the root directory of your Laravel project to install this package:
composer require alimranahmed/laraocr
Then, publish this package using php artisan vendor:publish
command
That's All!
Usages
This package can be used to read text from image to text using different type of interface like Web and Programming.
Programming
From anywhere of your code you can simply access the OCR
facade to scan image as below:
\OCR::scan($imagePath);
WebUI
After successful installation of this package we already have a web interface to parse text from image. Simply go to {project-url}/ocr
, select your image then click the Parse Image
button.
Upload Image
Uploaded Image
Parsed text
Wish list
- Artisan command to read image and show parsed text from CLI
- Restful API to accept image and return parsed text
- Multilingual support
- Adding More options which are already available in OCR engines
Contribution
Anyone is always welcome to contribute on the project. If you want to work with:
- Just create and issue(even if you want to fix the issue).
- After fixing any issue or adding any new feature just send a pull request
- I will be happy to add your code for the betterment of this project. Thanks..
License
This package is licensed under Apache License, Version 2.0