Tag-AI Documentation
Welcome to the Tag-AI documentation. Tag-AI is an intelligent, privacy-focused image organization solution that leverages advanced machine learning to automatically categorize and tag your photos, all while keeping your data entirely on your device.
On this page#
Overview#
Designed for photographers, designers, and content creators, Tag-AI helps you find the exact image you're looking for in seconds, without the need for manual tagging or cloud uploads. Tag-AI processes your images locally using state-of-the-art AI models or with optional cloud services to generate meaningful, searchable tags—all without requiring any manual work from you!
Getting Started#
New to Tag-AI? Start here:
Installation#
Learn how to install Tag-AI on your system, including platform-specific instructions for Windows, macOS, and Linux.
Installation GuideSetup Wizard#
Understand the initial setup process that configures Tag-AI for optimal performance on your system.
Setup GuideSystem Requirements#
Check if your system meets the requirements for running Tag-AI efficiently.
View RequirementsCore Features#
Interface Overview#
Explore the Tag-AI interface and learn how to navigate its features.
View Interface GuideScanning & Processing#
Learn how to scan your photo library and process images with AI tagging.
Scanning GuideSearching Tagged Images#
Discover how to search through your tagged photo library with natural language queries.
Search GuideKey Features#
- AI-Powered Tagging: Automatically generate descriptive tags for your photos using either local or cloud processing
- Local Processing: All analysis happens directly on your device. Your images never leave your computer, ensuring maximum privacy and security.
- Fast Search: Quickly find photos using natural language queries and tag combinations
- Image Format Support: Works with common formats (JPG, PNG, GIF, TIFF) and RAW formats (NEF, CR2, ARW, etc.)
- Tag Management: Edit, add or remove tags for any image
- Metadata Integration: Push tags directly to image files' XMP metadata
- Dark Mode Interface: Sleek, modern UI for comfortable viewing
- GPU Acceleration: Support for NVIDIA (CUDA) and AMD (ROCm) GPUs
- Batch Processing: Process thousands of images with a single click.
- Privacy-First Design: Process images locally without sending them to cloud services (unless you choose to)
System Requirements#
| Component | Minimum | Recommended |
|---|---|---|
| Operating System | Windows 10/11, macOS 10.15+, or Linux (Ubuntu 20.04+) | Latest OS version with current updates |
| Processor | Quad-core CPU @ 2.0 GHz | 8-core CPU @ 3.0 GHz or better |
| RAM | 8GB | 16GB or more |
| Graphics | NVIDIA GTX 1060 6GB / AMD RX 5500 | NVIDIA RTX 3060+ / AMD RX 6600+ |
| Storage | 5GB free space | 10GB+ on SSD |
For full details, see the System Requirements page.
Advanced Topics#
GPU Acceleration#
Configure GPU acceleration for much faster image processing performance.
GPU GuideTagging Models#
Learn about the available AI models for image tagging and their differences.
Models GuideDatabase Management#
Manage your Tag-AI database for optimal performance and maintenance.
Database Guide