Use TradeRepublic in terminal and mass download all documents
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Updated
Sep 28, 2025 - Python
Use TradeRepublic in terminal and mass download all documents
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.
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.
Scalable PDF Extraction using Multimodal GPT 4o
AI-powered PDF job data extractor using FREE Google Gemini API
A python tool to extract schedule data from PDF timetables and output it in GTFS.
PDF Analyzer** ist ein effizientes Python-Tool zur automatischen Analyse von PDF-Dokumenten.
A web application that scrapes ML research papers from arXiv and generates summaries using either OpenAI or Claude API.
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.
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.
Making an app so that we can read and extract information from prf easily or chat with our pdfs.
Extracts and ranks example problems, derivations, and formulas from physics PDFs using PyMuPDF. Fully containerized with Docker, no network access required.
PDF Query LangChain is a tool that extracts and queries information from PDF documents using advanced language processing. Leveraging LangChain, OpenAI, and Cassandra, this app enables efficient, interactive querying of PDF content. Ideal for data analysis, research, and automated reporting, it simplifies detailed document analysis with ease.
Extract text from images and PDFs using python and store in a JSON Format. Store the extracted in MYSQL database.
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.
Production-ready document processing API with Docker, Prometheus metrics, multilingual OCR, and Whisper transcription
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