Epstein Graph – Searchable database of 1.3M+ documents with AI summary
A searchable archive of Epstein disclosure documents with AI-generated summaries, transcriptions, and entity extraction.
Epstein Graph – Searchable database of 1.3M+ documents with AI summary launched on February 10, 2026 with 5 votes, #1,882 of 16,627 launches that month and more than 75% of that year's launches.
What it does
A research archive of Epstein documents - built for journalists, researchers, and the public record. Every audio and video file fully transcribed and searchable. If you have files related to the Epstein case that are not listed here, please consider uploading them. Since documents have been removed from government servers, we want to maintain a complete archive for public transparency. Anonymous submissions arefrom epsteingraph.com
Does a similar job
all alternatives →- OAOSS AI agent that indexes and searches the Epstein filesJan 2026 · epstein.trynia.ai · ▲211
Hi HN, I built an open-source AI agent that has already indexed and can search the entire Epstein files, roughly 100M words of publicly released documents. The goal was simple: make a large, messy corpus of PDFs and text files immediately searchable in a precise way, without relying on keyword search or bloated prompts. What it does: - The full dataset is already indexed - You can ask natural language questions - Answers are grounded and include direct references to source documents - Supports both exact text lookup and semantic search Discussion around these files is often fragmented. This…
- EFEpstein Files Organized and SearchableNov 2025 · searchepsteinfiles.com · ▲329
Hey all, Throwaway in case this is assumed to be politcally motivated. I spent some time organizing the Eptstein files to make transparency a little clearer. I need to tighten the data for organizations and people a bit more, but hopeful this is helpful in research in the interim.


Epstein's emails reconstructed in a message-style UI (OCR and LLMs)Dec 2025 · github.com · ▲46This project reconstructs the Epstein email records from the recent U.S. House Oversight Committee releases using only public-domain documents (23,124 image files + 2,800 OCR text files). Most email pages contain only one real message, buried under layers of repeated headers/footers. I wanted to rebuild the conversations without all the surrounding noise. I used an OCR + vision-LLM pipeline to extract individual messages from the email screenshots, normalize senders/recipients, rebuild timestamps, detect duplicates, and map threads. The output is a structured SQLite database that…
Epstein Files GPTFeb 2026 · epstein-gpt.com · ▲2AI search through millions of declassified Epstein documents
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