Laravel
tesseract-ocr-for-php
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Laravel | tesseract-ocr-for-php | |
---|---|---|
352 | 4 | |
76,753 | 2,781 | |
0.8% | - | |
8.9 | 4.4 | |
8 days ago | 7 months ago | |
PHP | PHP | |
MIT License | MIT License |
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Introduction 🚀
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- Automatizando fluxos de trabalho com GitHub Actions
tesseract-ocr-for-php
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PDF processing and analysis with open-source tools
There’s even a library for php (https://github.com/thiagoalessio/tesseract-ocr-for-php). Haven’t used it. I did used python Pytesseract & works fairly well.
- Laravel OCR?
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What are my options for extracting text from photos? I've already got ImageMagick installed, and assume there's a handful of PHP libraries for this task? Which are most performant and most likely to be maintained?
Depends on how consistent and legible the images are. If you've got, say, a scanned page with black-on-white text, it will work fairly well with PHPOCR (http://phpocr.sourceforge.net/) or https://github.com/thiagoalessio/tesseract-ocr-for-php.
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Processing Identity Documents in Laravel
The next step is to use Tesseract in our PHP class, to do that we'll use this excellent package
What are some alternatives?
Spiral Framework - High-Performance PHP Framework
react-native-tesseract-ocr - Tesseract OCR wrapper for React Native
Gin - Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
Symfony - The Symfony PHP framework
Slim Framework - Slim is a PHP micro framework that helps you quickly write simple yet powerful web applications and APIs.
identitydocuments - A Laravel package for parsing and processing Identity Documents
Slim - Slim Framework 4 Skeleton Application
tessdata - Trained models with fast variant of the "best" LSTM models + legacy models
Flask - The Python micro framework for building web applications.
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
Nette - 📖 The Nette documentation
FileBasedMiniDMS - This php script sorts your documents (by using hardlinks) into subfolders based on the hashtags it finds in your documents filenames.