Document chatbot — multiple files, topics, chat windows and chat history. Powered by GPT.

library supporting NLP and CV research on scientific papers

An extension of the traditional PDF standard, allowing multiple files to be stored in a single file via metadata

Google search MCP. One MCP replaces search + fetch + academic-paper extractor.

Open-source toolkit for reliable RAG pipelines: convert PDFs to Markdown, clean documents, inspect chunks, compare chunking strategies, and enrich metadata for LLM applications.

MCP server for seamless document format conversion and processing

Multiple and Large PDF Documents Text Extraction.

Python CLI to replace visible PDF text with font-aware fallback and cleaner word spacing.

The Privacy Firewall for LLMs

A Model Context Protocol (MCP) server implementation that integrates with the Nutrient Document Web Service (DWS) Processor API, providing powerful PDF processing capabilities for AI assistants.

A boilerplate solution for processing image and PDF documents for regulated industries, with lineage and pipeline operations metadata services.

Official Python client library for Nutrient Document Web Services API - PDF processing, OCR, watermarking, and document manipulation with automatic Office format conversion

The privacy-first, client-side PDF toolkit. Compress, Merge, Split, Reorder and Convert PDFs entirely in your browser without server uploads.

Kotlin Multiplatform PDF generator - Android, iOS, Desktop (JVM), Web (Wasm). Vector-first Compose-style DSL, viewer, markdown.

This library provides a type-safe and ergonomic interface for document processing operations including conversion, merging, compression, watermarking, and text extraction using Nutrient DWS Processor API.

Anthropic's Contextual Retrieval implementation with visual chunk comparison. Preview context enrichment before/after embedding.

📚 AI-Powered Book EPUB Knowledge Extractor & Summarizer Transform your PDF books into structured knowledge effortlessly! This tool leverages AI to analyze books page by page, extracting key insights, definitions, and concepts, and organizes them into Markdown summaries for easier study

Python scripts that converts PDF files to text, splits them into chunks, and stores their vector representations using GPT4All embeddings in a Chroma DB. It also provides a script to query the Chroma DB for similarity search based on user input.

Local, privacy-friendly resume analysis: convert, classify, and get advice using TF‑IDF, Logistic Regression, and sentence-transformer embeddings.

PDF compression and merging CLI tool