SpaceinvaderOne

Self-hosted AI photo intelligence tool. Uses local vision models via Ollama to describe, tag, rename, and search your photos. No cloud needed.

12
0
100% credibility
Found Apr 02, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A self-hosted photo management tool that uses local AI vision models to generate descriptions, tags, filenames, and enable natural language search for personal photo libraries.

How It Works

1
🖼️ Discover A-Eye

You hear about a helpful tool that organizes your personal photos using smart local AI, keeping everything private on your own computer.

2
🔧 Set it up quickly

Download and launch the app with a simple setup wizard that guides you like a friendly assistant.

3
🤖 Connect your AI helper

Link the app to your local AI service so it can see and understand what's in your photos.

4
📁 Point to your photos

Choose the folder with your photo collection, and the app starts scanning to learn about each one.

5
✏️ Review smart suggestions

Check the AI's ideas for better names, descriptions, and tags, then approve or tweak them easily.

6
🔍 Search naturally

Find any photo instantly by describing it in plain words, like 'sunset with the kids'.

🎉 Photos perfectly organized

Your library is now searchable, neatly named, and enriched with details, all running safely on your hardware.

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Star Growth

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AI-Generated Review

What is a-eye?

A-Eye is a self-hosted photo manager that runs local AI vision models via Ollama to scan your library, generate descriptions like "a eye cat lounging on windowsill", suggest smart filenames, auto-tag content, and enable natural language searches such as "a eye of the tiger sunset". It flags blurry shots or accidents, extracts dates from images lacking EXIF, writes XMP sidecars for Immich or Lightroom compatibility, and offers a workspace for quick uploads from phones. Docker-based Python app with a simple web UI for review, search, and scheduling.

Why is it gaining traction?

Unlike cloud photo services, it processes everything locally on your hardware—no data leaves your LAN—while adding AI smarts like context-aware prompts ("wedding with aunt Karen") and watch mode for auto-scanning new dumps. Natural language search expands queries into keywords, quality detection cleans duds fast, and XMP export integrates with self hosted photo gallery tools like Immich. Devs dig the overnight scheduling and read-only catalogue mode for safe library audits.

Who should use this?

Unraid or Docker homelabbers managing self hosted photo libraries bloated with unsorted phone pics and RAW files. Photographers needing a self hosted photo editor for bulk renaming and tagging before Lightroom import. Tinkerers building self hosted photo management stacks alongside Immich, tired of manual organization.

Verdict

Early days at 12 stars and 1.0% credibility score, but polished docs, easy Docker Compose setup, and mature features make it a strong contender for self hosted photo manager workflows. Spin it up for a photo batch—solid for tinkerers, watch for stability as it matures.

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