Free open-source web software for signing PDF (alone or with others) and also organize pages, edit medata and compress pdf
Use TradeRepublic in terminal and mass download all documents
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.
A Python + C implementation for image-based PDF page layout analysis and content extraction.
PDF Analyzer** ist ein effizientes Python-Tool zur automatischen Analyse von PDF-Dokumenten.
A python tool to extract schedule data from PDF timetables and output it in GTFS.
A web application that scrapes ML research papers from arXiv and generates summaries using either OpenAI or Claude API.
End-to-End Data Pipeline for Tourism Industry Analysis
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.
This Python script uses pdfminer.six, PyPDF2, pdf2image to extract information (text, image) from pdf paper.
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.
Making an app so that we can read and extract information from prf easily or chat with our pdfs.
DOOM in a PDF (as ascii art)
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.
Billionaires RAG Query uses LLMs and a RAG framework to analyze the world's billionaires list. Extracts tabular data from PDFs, converts to multiple formats, and enables precise queries about net worth, age, and more. Integrates with Poetry and asdf for easy setup and management.
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