thiagoalessio/tesseract-ocr-for-php

A wrapper to work with Tesseract OCR inside PHP.

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Summary Information

Updated 2 hours ago
Added to GitGenius on September 22nd, 2026
Created on April 8th, 2012
Open Issues & Pull Requests: 7 (+0)
GitHub issues: Disabled - open counts may still include pull requests.
Number of forks: 555
Total Stargazers: 3,043 (+0)
Total Subscribers: 115 (+0)

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Detailed Description

tesseract-ocr-for-php is a PHP wrapper that integrates Tesseract OCR for optical character recognition within PHP applications.

The tool solves the problem of extracting text from images in PHP by wrapping the Tesseract OCR engine and exposing its functionality through a fluent PHP interface. It allows developers to pass images to Tesseract and retrieve recognized text, handling the command execution and parameter passing internally. The wrapper supports configuration of multiple Tesseract options including language selection, page segmentation methods, OCR engine modes, DPI settings, and custom dictionaries or pattern files to improve recognition accuracy.

Developers should adopt this tool if they need OCR capabilities in PHP and have Tesseract installed on their system. It suits projects that require text extraction from images, such as document processing, form scanning, or automated data entry systems. The tool requires Tesseract OCR version 3.02 or later as a system dependency. Installation varies by platform: Windows users can install Tesseract through Capture2Text via Chocolatey, macOS users can use Homebrew or MacPorts, and the PHP wrapper itself installs via Composer. The README explicitly addresses a use case of breaking CAPTCHAs but directs users to a discussion about the ethical and practical considerations involved.

The project maintains a straightforward codebase focused on wrapping Tesseract's command-line interface. Development activity shows responsiveness to user issues and questions, with maintainers providing guidance on platform-specific installation challenges and offering tips for improving recognition accuracy with specific language combinations or configuration options. The tool remains stable in its core functionality, serving as a reliable bridge between PHP applications and the Tesseract OCR engine.