A free-floating 2D Canvas for processing multiple PDF files simultaneously
Document chatbot — multiple files, topics, chat windows and chat history. Powered by GPT.
library supporting NLP and CV research on scientific papers
Karpathy's LLM Wiki implementation plugin for Obsidian - turns notes and PDFs into a linked, LLM-powered knowledge base with entity pages, concept pages, graph-powered Q&A, and local-first privacy.
Turn Google Search, Papers, and Codebases into an Automatic Local Knowledge Graph for AI Agents.
TeamSync PDF Viewer
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.
Kotlin Multiplatform PDF generator - Android, iOS, Desktop (JVM), Web (Wasm). Vector-first Compose-style DSL, viewer, markdown.
The privacy-first, client-side PDF toolkit. Compress, Merge, Split, Reorder and Convert PDFs entirely in your browser without server uploads.
Official Python client library for Nutrient Document Web Services API - PDF processing, OCR, watermarking, and document manipulation with automatic Office format conversion
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.
PDF processing CLI tool. Compress and merge PDF directly in your terminal. Convert images to pdf. Better compression and 7x faster than ghostscript.
Anthropic's Contextual Retrieval implementation with visual chunk comparison. Preview context enrichment before/after embedding.
Turn documents into high-quality instruction datasets with grounding, quality filtering, deduplication, and provenance.
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