Alternatives
Products that do what Epstein Files Organized & Searchable does
Every Epstein file and image, indexed and searchable.
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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.
Nov 2025 · searchepsteinfiles.com
- 2OA
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…
Jan 2026 · epstein.trynia.ai
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1.4M Epstein files — instant semantic & fuzzy search
Feb 2026 · epstein.lasearch.app
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The DOJ released ~3.5M pages of Epstein documents across 12 datasets. Buried in them are 207 academic papers and 14 books that nobody was really talking about. From what I understand these papers aren't usually freely accesible, but since they are public documents, now they are. I don't know, thought it was interesting to see what this dude was reading. You can check it out at jeescholar.com Pipeline: 1. Downloaded all 12 DOJ datasets + House Oversight Committee release 2. Heuristic pre-filter (abstract detection, DOI regex, citation block patterns, affiliation strings) to cut noise 3. LLM…
Feb 2026 · jeescholar.com
- 6EF
credit to @RhysSullivan on github for creating this
Dec 2025 · epstein-files-browser.vercel.app
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AI search through millions of declassified Epstein documents
Feb 2026 · epstein-gpt.com
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- 11ES
This 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…
Dec 2025 · github.com
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- 14HN
Mar 2026 · huggingface.co
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Fast and accurate Chat, Search with all Epstein DOJ Files
Mar 2026 · epsteingpt.org
- 16SC
2024 · app.airtrain.ai
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Private document management for families, expats & students
2025
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When I read papers, I have to jump between multiple tabs to find the dataset, code, videos, peer reviews, and so on. I tried to fix this with this project. It started as a project just for papers on arXiv, but after its initial success on Twitter (got like 1.9k views: the most I have gotten for a post), I have now expanded it to include other openly available papers from PubMed Central, bioRxiv, medRxiv, and eLife. These papers have been linked with their genes, proteins, diseases, drugs, clinical trials, 3D protein structures, code, and cited and similar papers. This project now has four…
Jul 2026 · tomesphere.com
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Feb 2026 · epsteingraph.com
- 24IA
Hey HN! I've build a simple tool to index and search your documents. This uses two great open source libraries: apache tika (for extracting content from docs) and apache lucene (for searching). It's been built with kotlin ktor as a web framework. You can index all kind of files (i.e doc, docx, xls, ppt, pdf, txt, html even ORC pdfs) and then search them using very advanced queries like "always contain X", "never contain X", "X near Y", wildcard search, proper stemming support etc. We're using it on my work where we have hundreds of thousands of doc/docx/pdf files and it works…
2024 · github.com
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