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
A fast, helpful, and open-source document parser
PDF-Guru is an AI-powered document processor and study material converter designed to transform textbooks, research papers, and multimedia content into structured flashcards for spaced repetition systems like Anki. It functions as a content pipeline that uses language models to extract key concepts and facts from unstructured documents to generate question-and-answer pairs, cloze deletions, and multiple-choice cards. The system distinguishes itself through a comprehensive PDF management suite and multi-format parsing. It provides advanced document utilities including optical character recogni
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
Textract is a multi-format text extraction tool and parser. It provides a unified interface to extract plain text from a variety of sources, including documents, images, and audio files.
Las características principales de deanmalmgren/textract son: Multi-Format Document Parsers, Audio Transcriptions, Image Text Extractions, Optical Character Recognition, Visual Text Extractors, Speech-to-Text and Text-to-Speech Integrations, Speech-to-Text Transcribers, Multi-Format Parsers.
Las alternativas de código abierto para deanmalmgren/textract incluyen: kreuzberg-dev/kreuzberg — Kreuzberg is a document extraction engine that converts PDFs, Office files, images, and over 90 other formats into… run-llama/liteparse — A fast, helpful, and open-source document parser. kevin2li/pdf-guru — PDF-Guru is an AI-powered document processor and study material converter designed to transform textbooks, research… open-mmlab/mmocr — mmocr is a PyTorch-based optical character recognition framework designed for training and deploying text detection,… robertknight/ocrs — This project is a terminal-based optical character recognition engine that uses neural network models to extract text… rmtheis/tess-two — Tess-two is an optical character recognition tool and Android application designed to extract written text from images…