Projects sharing features with Tesseract

RapidOCR is an offline deep-learning OCR engine that detects and recognizes text in images using ONNX Runtime, operating entirely without an internet connection. It provides a unified inference pipeline that runs across multiple platforms including Windows, Linux, macOS, Android, and Raspberry Pi, with programming language bindings for Python, C++, Java, and C#. The engine separates text detection and recognition into independent modules that can be swapped or fine-tuned individually, and abstracts the inference backend behind a unified interface allowing seamless switching between ONNX Runti

This project is a Python framework for building autonomous AI agents capable of executing independent tasks through goal-oriented instructions. It provides a library of tools for managing system operations and processing multimodal data. The framework features a sandboxed system execution environment that restricts shell commands and file access to protect the host system. It also includes an automated OCR text extraction pipeline for converting printed or handwritten text from images and documents into digital formats. Connectivity is handled through a modular tool integration system and a

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

Dango-Translator is an OCR translation system and multi-engine translation client designed to extract text from images or screens and replace it with translated content. It functions as an image text translator and real-time screen translator, utilizing optical character recognition to convert text between different languages automatically. The software distinguishes itself through coordinate-based image typesetting and a glossary manager. These tools allow for the replacement of original image content with translated text in the same area and the use of specialized dictionaries to ensure con

Tess-two is an optical character recognition tool and Android application designed to extract written text from images using the Tesseract engine. It functions as an image analysis utility for detecting visual artifacts, blur, and optical flow within local image files on Android devices. The project includes an image pre-processing suite used to clean and manipulate images to increase the accuracy of text recognition. This involves a pipeline that applies grayscale conversion and binarization before the recognition process. The software integrates native image processing and character analys

PDF-Extract-Kit is a document extraction toolkit designed to convert PDF documents into structured formats such as Markdown, HTML, and LaTeX. It functions as a multi-stage parsing framework that combines a document layout analyzer, a formula recognition engine, an OCR text extractor, and a table extraction system. The project focuses on recovering complex document elements by translating images of mathematical formulas and tabular structures into editable source code. It utilizes model-driven layout analysis to identify structural elements in reports and textbooks while ignoring noise like wa

Stirling-PDF is a web-based PDF management suite used for editing, merging, splitting, and converting PDF documents. It functions as a self-hosted document manager, providing a centralized interface for users to manipulate files on a private server. The system features a workflow automation engine that allows for the creation of processing pipelines to handle large volumes of documents without writing custom code. It also includes an optical character recognition tool to convert scanned PDFs into searchable and editable text. Access is managed through single sign-on integration and OIDC comp

Pix2Text is an optical character recognition system and document conversion tool designed to transform images and PDFs into Markdown. It functions as a multilingual OCR engine supporting over 80 languages, a LaTeX formula recognizer for mathematical notations, and a parser integrated with vision language models. The project utilizes a hybrid pipeline to separate plain text from mathematical formulas and tabular structures within a single pass. It converts recognized formulas into LaTeX expressions and transforms detected tables and layouts into structured Markdown formatting. The system incl

PyMuPDF is a comprehensive PDF manipulation library and document analysis tool. It serves as a text extraction tool, OCR engine, and image converter, providing a programmatic interface to edit, merge, split, and optimize PDF and Office documents. The project distinguishes itself through high-performance capabilities, including the use of C-bindings for low-level manipulation and parallelized page processing to accelerate workloads. It provides specialized conversion paths, such as transforming PDF content into Markdown for retrieval-augmented generation and large language model pipelines. It

Kreuzberg is a document extraction engine that converts PDFs, Office files, images, and over 90 other formats into clean, structured text and metadata. It is built around a compiled Rust core that can be used as a native library, a command-line tool, a REST API server, or a WebAssembly module for browser-based processing. The system is designed to run entirely on self-hosted infrastructure, with no data leaving the user's environment. What distinguishes Kreuzberg is its breadth of integration surfaces and its pipeline architecture. It exposes extraction capabilities through native bindings fo

This project is an automated image translation system and pipeline specifically optimized for manga and comics. It provides a sequence of text detection, machine translation, and typesetting, and is available as an image translation API, a command-line tool for batch processing, and an LLM-powered translator. The system utilizes OCR to detect text regions and an inpainter to remove original content by synthesizing background pixels. Translated text is then overlaid using an automated typesetter that manages font sizes, colors, and reading directions based on the original coordinates. The wor

mmocr is a PyTorch-based optical character recognition framework designed for training and deploying text detection, recognition, and key information extraction models. It serves as a comprehensive toolbox for scene text detection and recognition, providing specialized libraries for locating text regions and converting visual text into machine-encoded strings. The project distinguishes itself through a research framework for key information extraction and advanced text spotting capabilities. These include point-based spotting using transformers and the use of parameterized Bezier curves to id

Paperless is a self-hosted document management system designed to digitize, index, and archive paper documents. It functions as an optical character recognition system that converts scanned images and PDFs into a searchable digital library, providing a web-based interface for querying and retrieving documents from a database. The system features an automated file ingestion pipeline that monitors specific directories and email inboxes to process and import documents without manual uploading. To maintain a private archive, it includes on-disk encryption for sensitive files and the ability to or

BallonsTranslator is a software suite designed for extracting, translating, and replacing text within comic panels while preserving the original visual layout. It functions as an image translation tool that combines text region detection, optical character recognition, and deep learning inpainting to automate the localization of comics. The tool features a deep learning image inpainter that removes original text and restores backgrounds using generative neural networks and patch-matching algorithms. It also includes a rich-text translation editor for modifying translated dialogue with support

STranslate is a desktop application that combines translation, optical character recognition (OCR), QR code decoding, and silent text-to-speech into a single tool for processing text on screen. It functions as a multi-source translation aggregator, sending queries to dozens of translation services simultaneously and displaying results side by side for comparison, while also offering OCR-based text extraction from images and QR code decoding from screen captures or files. The application distinguishes itself through a comprehensive set of automation and integration capabilities. A global hotke

SwiftOCR is a Swift library for performing optical character recognition and text extraction from images. It functions as a neural network text recognizer and OCR model trainer designed for iOS and macOS applications. The project provides tools for custom font training, allowing users to teach neural networks to recognize specific typography or unique character sets by processing custom datasets. This enables the system to identify short alphanumeric sequences based on specific target character mappings. The library includes an image-preprocessing pipeline to clean and transform visual data

dots.ocr is a suite of software utilities for document layout analysis, multilingual optical character recognition, and scene text digitization. It functions as an engine for extracting digital text and structured layout data from images and PDFs across various human scripts. The project includes a specialized transformer for converting charts, diagrams, and chemical formulas from raster images into scalable vector graphics. It also provides a pipeline to transform extracted text and structural layout from documents and web screenshots into formatted Markdown files. The system covers capabil

Nextai-translator is an AI-powered text processor and cross-platform translation application. Available as a desktop app and browser extension, it uses large language model APIs to translate, summarize, and refine multilingual content in real time. The tool integrates with clipboard managers and text selection utilities to trigger automated translations immediately after content is copied or highlighted. It also functions as an OCR translation utility, extracting and translating text from screenshots and non-selectable image content. Additional capabilities include a vocabulary management sy

This project is a document digitization utility that combines traditional optical character recognition with language model processing to convert scanned PDF files into structured markdown. It functions as an automated pipeline that extracts raw text from images and applies intelligent post-processing to refine the output. The system distinguishes itself by using language models to perform error correction, removing artifacts and formatting inconsistencies common in raw character recognition. It incorporates a modular design that decouples processing logic from specific model providers, allow

PDFPatcher is a specialized suite of PDF utility tools designed for editing navigational bookmarks, modifying document structure, managing metadata, and processing pages. It provides a toolkit for altering PDF structures and properties without changing the original content stream. The project is distinguished by its focus on bookmark management, featuring bulk editing and the ability to generate clickable bookmarks from visual tables of contents using optical character recognition. It also includes capabilities for font optimization through substitution and embedding to ensure consistent char

Zerox is a multimodal document parser and OCR tool that uses vision models to convert PDF files and images into structured Markdown text. It functions as a visual layout extraction engine, leveraging large multimodal models to digitize documents while maintaining their original structural formatting. The system differentiates itself through the use of coordinate-based element mapping and multimodal layout analysis to identify structural elements like tables, charts, and headers. It utilizes rasterization to convert vector PDF pages into high-resolution bitmaps, ensuring consistent input for t

Paper2gui is a multi-modal AI toolkit and model GUI wrapper designed to deploy and run various artificial intelligence models through a visual interface. Its primary purpose is to provide a way to execute complex AI research papers and models without requiring manual software installation or coding. The project distinguishes itself by using a wrapper-based model interface that abstracts command line arguments into visual input fields, utilizing template-driven UI generation to create parameter sliders and forms based on the specific requirements of the underlying model. It includes a centrali

Upsonic is a Python framework and orchestrator for building autonomous AI agents. It provides the infrastructure to develop self-operating systems that execute complex workflows and manage tasks independently using a scripting language. The project functions as an agentic tool integration layer, connecting agents to third-party data sources and external service APIs through standardized communication protocols. To ensure security, it includes an isolated execution environment that restricts shell and file operations to a specific workspace to prevent path traversal and dangerous commands. Ad

Tesseract-OCR-iOS is a native integration of the Tesseract engine for iOS applications. It provides on-device image recognition to identify and extract printed text from images, converting them into editable strings. The project enables local device execution, meaning image processing and text extraction occur entirely on the hardware without the use of external cloud services or network requests. It utilizes a C++ wrapper and an Objective-C bridge to interface high-level iOS APIs with the underlying Tesseract engine and Leptonica image processing library. The library supports document digit

SwiftOCR is a native Swift library designed for extracting text and alphanumeric characters from images. It functions as a neural network text recognizer that identifies characters and strings from visual data. The library includes a custom OCR model trainer and tools for custom font recognition. These capabilities allow for the generation of specialized neural networks tailored to specific fonts and character sets to improve recognition accuracy. The system utilizes connected-component labeling to identify individual character regions and employs image processing to convert short alphanumer

X-AnyLabeling is an AI-assisted annotation platform and computer vision labeling tool. It provides an interface for annotating images and videos using polygons and rectangles to create training sets for machine learning models. The project distinguishes itself through the integration of external AI models via a plugin-based inference backend, allowing for automated generation of candidate labels and the execution of specialized tasks like pose estimation and object detection. It also functions as an optical character recognition tool for extracting text and layout information from document im

Deep OCR is a deep learning framework designed for the recognition of Chinese characters within images. It functions as an optical character recognition library that converts scanned documents or image files into digital text, providing an alternative to traditional template matching methods. The system utilizes a combination of convolutional neural networks for spatial feature extraction and recurrent sequence modeling to capture contextual relationships between characters. It employs connectionist temporal classification to map image sequences to character strings without requiring explicit