akitaonrails

akitaonrails / FrankSherlock

Public

Intelligent File Searcher that can search for descriptions in media files like photos, for example "receipt from market of $42.00" using AI based classification

128
5
100% credibility
Found Feb 24, 2026 at 35 stars 4x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

Frank Sherlock is a local desktop app that scans your image folders, uses AI to classify and describe photos and documents, generates thumbnails, and enables natural-language search through a searchable database.

How It Works

1
🔍 Discover your photo organizer

You find Frank Sherlock, a simple app that helps sort and search your family photos and documents stored on your network drive.

2
📥 Download and launch

Grab the ready-to-run app for your computer, double-click to open it, and watch it greet you with a friendly setup screen.

3
🧠 Wake up the smart helper

The app guides you to turn on its built-in thinking brain, downloading what it needs so it can understand your pictures.

4
📁 Point to your photo folder

Choose the folder full of your images, receipts, and screenshots from your drive, and hit scan.

5
✨ Watch the magic happen

Your photos come alive as the app sorts them into categories like family pics, anime art, or scanned bills, creating previews and notes automatically.

6
🔤 Search like chatting

Type everyday words like 'beach vacation' or 'receipt from bank' and see matching images pop up instantly with thumbnails.

🎉 Your memories organized forever

Now you can browse albums, save favorite searches, and find anything in seconds, all safely on your own computer without sharing online.

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AI-Generated Review

What is FrankSherlock?

FrankSherlock is a local-only desktop app for cataloging and searching image libraries on your NAS or drive. Point it at a folder of JPEGs, PNGs, or PDFs, and it uses a vision LLM like qwen2.5vl via Ollama to classify media types (photo, anime, receipt), generate descriptions, pull text via OCR for intelligent document processing, and index everything into SQLite for full-text queries like "receipt from market of $42.00". Built in Rust with a Tauri/React UI, it creates thumbnails, resumes interrupted scans, and detects moved files without reprocessing—keeping everything on your machine.

Why is it gaining traction?

It stands out for privacy-focused devs avoiding cloud costs: no data leaves your GPU, yet it handles intelligent file analysis for niche stuff like anime series detection or bank transfer OCR that generic tools miss. Incremental scans fly through unchanged 10k-image dirs in seconds, and natural language search with filters (confidence sliders, media types) feels like an intelligent file system. Pre-built binaries for Linux/macOS/Windows plus VSCode-inspired UI make it dead simple to spin up.

Who should use this?

NAS hoarders with mixed photo/document/anime collections needing quick "screenshot confidence >=0.8" searches. Self-hosters tired of manual tagging for receipts or media vaults. Devs prototyping intelligent file organizer features without API bills.

Verdict

Grab the AppImage if you have Ollama and an NVIDIA/Apple GPU—it's a polished prototype with 166 Rust + 172 frontend tests and clear docs, perfect for early adopters. At 22 stars and 1.0% credibility, it's raw but promising; fork or watch for v1 stability.

(198 words)

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