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Document intelligence framework for Python - Extract text, metadata, and structured data from PDFs, images, Office documents, and more. Built on Pandoc, PDFium, and Tesseract.
Free open-source web software for signing PDF (alone or with others) and also organize pages, edit medata and compress pdf
JavaScript bindings for MuPDF
Convert your PDFs and EPUBs into audiobooks effortlessly. Features intelligent text extraction, customizable text-to-speech settings, and efficient processing for low-resource systems.
Conversion of PDF documents to structured Markdown, optimized for Retrieval Augmented Generation (RAG) and other NLP tasks. Extract text, tables, and images with preserved formatting for enhanced information retrieval and processing.
Translate many large PDF Reports for free using Python.
This sample project provides a preview of the PDF Extract API. Using the sample project and this documentation, you will easily be able to integrate the PDF Extract API in your own server-side code.
Powerful PDF data extraction library powered by AI vision models. Transform PDFs into structured, validated data using TypeScript, Zod, and AI providers like Scaleway and Ollama.
Extract presentation slides from videos with accurate timestamps
Anyparser Typescript SDK for RAG/ETL Pipelines - File Content Extraction. Supports extraction from various file formats including PDF, Microsoft Office documents, OCR/Image to Text, Audio to Text, and Website to Text.
A Python + C implementation for image-based PDF page layout analysis and content extraction.
Making an app so that we can read and extract information from prf easily or chat with our pdfs.
Ekstrak PDF Kartu Keluarga adalah aplikasi web berbasis React + Vite yang memanfaatkan Google Gemini API untuk mengekstrak data dari dokumen KK (PDF atau ZIP) secara otomatis, menampilkannya dalam tabel interaktif, dan mengekspor hasilnya ke Excel.
Scalable PDF Extraction using Multimodal GPT 4o
PDF Analyzer** ist ein effizientes Python-Tool zur automatischen Analyse von PDF-Dokumenten.
Fast batch tool to extract first-page text from all PDFs in a folder using Python. Optimized with multiprocessing to handle thousands of PDFs efficiently.
End-to-End Data Pipeline for Tourism Industry Analysis
A PDF Reader application powered by AI, allowing users to upload PDF documents and extract meaningful information using advanced NLP models. Built with Streamlit, Transformers, and Langchain, this app provides a seamless interface for interacting with and analyzing PDF content.
A tool to automatically extract GRI disclosure codes from corporate sustainability reports, enabling efficient analysis of environmental, social, and governance (ESG) data. Supports English and Indonesian reports.
Task
This Python script uses pdfminer.six, PyPDF2, pdf2image to extract information (text, image) from pdf paper.
A web application that scrapes ML research papers from arXiv and generates summaries using either OpenAI or Claude API.
FidSync is a professional-grade web tool that helps financial teams extract fund statuses from PDF scorecards and update Excel templates accurately — without manual matching or formatting headaches. Built with Streamlit · PDF + Excel automation · Fuzzy matching · Secure and client-ready
This project is a command-line tool that extracts text from web pages and PDF files, including scanned documents. It supports various extraction methods. This tool is ideal for data scraping, NLP preprocessing, and content analysis.
Historical copper price data from WWMAI circulars. Raw PDFs and structured CSV data tracking electrolytic copper wire rod prices and calculation components.
Python CLI tool for extracting structured data from scanned invoices using Tesseract OCR. Converts PDF/image invoices to CSV/JSON with vendor details, line items, and totals. Features robust error handling, batch processing, and professional-grade code quality.
AI-powered systematic review data extraction system with zero hallucination guarantee
End-to-End LLMOps Pipeline
Data analysis and processing tools
AI-powered PDF extraction suite for structured insights from contracts, forms, and documents. Built with Streamlit, LangChain, GPT-4o, and PDFPlumber.
A Java-based server leveraging Apache Tika to extract content and metadata from files (PDF, DOCX, TXT, etc.) in a local files-to-extract directory. Supports HTML (with CSS styling) and text extraction, file listing, and metadata retrieval via MCP-compliant tools and REST APIs. Built with Spring Boot, Jetty, and MCP SDK.
Extract waste collection dates for the Luxemburgish commune of Niederanven from PDF calendars and generate iCal files.
Extracts and ranks example problems, derivations, and formulas from physics PDFs using PyMuPDF. Fully containerized with Docker, no network access required.