LocalRAG! – AI-powered local document Q&A with page citations

Summary: LocalRAG enables users to query PDFs, EPUBs, DOCX, and six other formats using Claude AI while keeping all document processing local to the device. It extracts text with a 3-stage PDF pipeline including OCR for scanned documents and returns answers with page-number citations without uploading full files to the cloud.

What it does

LocalRAG performs on-device text extraction, chunking, and TF-IDF indexing to enable hybrid search and question answering powered by Claude AI. It supports nine native document formats and uses a three-step PDF extraction process combining PDFKit, copy-protection bypass, and Vision OCR.

Who it's for

It is designed for users who need to query sensitive documents like contracts, tax returns, or research papers without uploading them to cloud services.

Why it matters

LocalRAG solves privacy concerns by processing documents entirely on the user’s iPhone or iPad, ensuring sensitive files never leave the device while enabling AI-powered Q&A.