Based on Foxit Quick PDF Library，python interface

A simple demonstration of how you can implement retrieval augmented generation (RAG) for a book.

Document Intelligence Platform — Extract, refine, and query documents with vision LLMs and config-driven RAG.

PDF 문서에서 GPU 가속 처리로 고품질 질의응답(QA) 데이터를 자동 생성하고 LLM을 효율적으로 파인튜닝하는 솔루션입니다. Unstructured 라이브러리와 AWS Bedrock Claude로 도메인 특화 QA 쌍을 생성하고, LoRA 기법으로 경량 모델을 훈련합니다.

Converts scanned documents and ordinary documents into speech mp3 using Amazon Polly

A Telegram bot which extract Text from PDF, also extract the Images of PDF Pages. Made with Python

NLP Pdf Minning Extracting text from pdf

A PDF extractor, processor and formatter. Supports regex based exclusions and other niceties.

A resume parser that extracts key details from PDF files using Groq's LLM

CLI for merging PDF contexts.

An AI-powered invoice and receipt analyzer that extracts structured invoice data from images (JPG/PNG) and PDF documents using a Large Language Model (LLM).

Highlights the key matches between your Given PDF and the description text

Fast, spatial PDF parsing in Rust — column-aware text extraction, optional OCR, and format conversion. Competitive with LiteParse on real-world documents.

PDF Text Finder Console App along with page number

A local, Python-based GUI toolbox for common PDF operations such as merge, split, scan, OCR, and document preprocessing. Fully offline, extensible, and open source.

UnchainedText: Break free from PDFs! Easily extract raw text to .txt for preprocessing.

Tests of OCR and RAG with LLMs

An end-to-end NLP pipeline for legal documents, including OCR-based text extraction, neural language modeling from scratch (NumPy), sentence and document embeddings, extractive and abstractive summarization, grammar refinement, and semantic case similarity retrieval using cosine similarity.

AI-powered document classification system built using FastAPI, Machine Learning, scikit-learn, NLP, and Streamlit. The application extracts text from uploaded PDF documents, preprocesses the content using NLP techniques, converts text into TF-IDF vectors, and predicts document such as invoices, orders and reports using a ML classification model.

Merge, split, compress, and edit PDFs with this lightweight toolkit