Search Results for "ocr"

pdf-inspector is a fast Rust library for classifying PDFs and extracting structured text without OCR. It distinguishes text-based, scanned, image-based, and mixed documents while returning confidence scores and pages that may need OCR. Its position-aware parser preserves font data, coordinates, reading order, and multi-column layouts. The converter produces clean Markdown with headings, lists, code blocks, links, page breaks, and formatted tables.

...It supports multiple backends, including OpenAI-compatible APIs and local models such as those served through Ollama, allowing users to switch providers without rewriting prompts. The toolkit also includes advanced capabilities such as asynchronous execution, routing, OCR, and experimental agent workflows, making it suitable for both simple and complex AI applications.

DocWire SDK, a standout C++20AI driven data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis. For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. DocWire SDK aims to...

...Practical exercises demonstrate crawlers for Douban movies, Baidu Tieba, and Baidu Translate. Broader project materials also address topics such as JavaScript reverse engineering, Selenium automation, OCR, MongoDB, and the Scrapy framework. Code demonstrations accompany the written lessons so readers can learn by modifying working examples. The repository is structured as a progressive self-study resource rather than a reusable crawler application.

SwiftOCR is a fast and simple OCR library written in Swift. It uses a neural network for image recognition. As of now, SwiftOCR is optimized for recognizing short, one-line long alphanumeric codes (e.g. DI4C9CM). We currently support iOS and OS X. If you want to recognize normal text like a poem or a news article, go with Tesseract, but if you want to recognize short, alphanumeric codes (e.g. gift cards), I would advise you to choose SwiftOCR because that's where it exceeds.

...With iText, you can create archivable and accessible PDFs, split and merge documents, fill and flatten forms, digitally sign documents, and more. iText add-ons enable additional functionality, such as PDF creation from HTML templates, secure redaction, OCR, and much more. The latest versions of iText build on the success of previous versions and feature an improved document engine, high and low-level programming capabilities, and a more efficient modular structure. iText represents the next level for developers looking to leverage PDF in document workflows. The main project page for iText is now on GitHub, and all the latest releases, code samples, open source add-ons and tools, etc. can be found at https://github.com/itext/.

A Java JNA wrapper for Tesseract OCR API

nunn is a collection of ML algorithms and related examples written in modern C++17.

Neuroph OCR - Handwriting Recognition is developed to recognize hand written letter and characters. It's engine derived's from the Java Neural Network Framework - Neuroph and as such it can be used as a standalone project or a Neuroph plug in.

TCR Neuroph - Text Character Recognition is java tool developed to recognize scanned text , using Java Neural Network Framework - Neuroph