Awesome GitHub RepositoriesOCR Model Configurations

Tesseract is a neural network-based optical character recognition engine designed to convert scanned images and digital documents into machine-readable, searchable text. It functions as both a command-line utility for automating large-scale digitization workflows and a cross-platform library that can be embedded into desktop, mobile, or server-side applications. By utilizing long short-term memory networks, the engine provides robust text extraction across more than one hundred languages and dozens of scripts. The project distinguishes itself through a sophisticated document layout analysis f

MonkeyOCR is a GPU-accelerated document parsing server that converts PDFs and images into structured markdown while preserving the spatial layout of text, formulas, and tables. It provides both an interactive Gradio web interface for uploading files and viewing parsed output in real time, and a RESTful HTTP API endpoint that accepts document uploads and returns structured JSON results for programmatic consumption. The system routes document pages through specialized OCR sub-models for text, formula, and table recognition based on the selected extraction task, and packages the entire model sta

pdf-craft is an OCR-based document parser and structure extractor designed to convert PDF files into structured data, Markdown, or EPUB ebooks. It utilizes optical character recognition and statistical analysis to identify document hierarchies and extract text and structured content. The system features specialized rendering for mathematical formulas and tables, using heuristic reconstruction to convert tabular data into digital formats. It includes a document structure extractor that builds tables of contents by analyzing font sizes, linguistic patterns, and language model title detection.