Streamlined AI-powered photo tagging for motorsport photographers. All essential features in a compact ~200-300MB package. Perfect for quick tagging workflows, limited storage, or when you don't need advanced SAM3 geometric matching. Free forever. No subscriptions. No limits.
TagOmatic LITE includes all core features for professional photo tagging workflows. Everything you need for efficient race photography tagging.
Advanced AI-powered vehicle recognition using Qwen2.5VL vision model. Identifies make, model, color, and distinctive features from images.
Automatically detects race numbers from vehicle doors, roofs, and bodywork. OCR-powered text extraction for accurate number identification.
Import race timing sheets (PDF) to automatically match race numbers with driver names, sessions, and race data. Supports multiple timing formats.
Automatically match detected race numbers with driver information from imported timing sheets. Session-based filtering for precise matching.
Write comprehensive metadata directly to image files. Includes make, model, driver name, race number, session info, and custom tags. Preserves original EXIF data.
Process hundreds of images in a single batch. Queue management, progress tracking, and error handling for efficient workflow automation.
All AI processing happens on your computer. No cloud uploads, no data sharing. Your photos never leave your machine. Complete privacy guaranteed.
Automatic version checking to notify you of updates. Stay current with the latest features and improvements.
LITE excludes advanced features to keep the download size small. These features are available in TagOmatic Pro (coming to Steam).
Advanced geometric thumbprint extraction and component-based vehicle matching. Uses Segment Anything Model 3 (SAM3) for precise component detection and view angle identification.
Built-in and user-customizable knowledge base for vehicle validation. Reference image matching, distinguishing feature extraction, and KB import/export functionality.
PyTorch, torchvision, and related ML libraries (~800-900MB). Not needed for core AI identification which uses Ollama's Qwen2.5VL model.
Need these features? Check out TagOmatic Pro (Coming to Steam) →
~200-300MB • Perfect for quick downloads
~13GB • Coming to Steam
🚂 Available on Steam
Fast download and setup. Get tagging immediately without waiting for large file downloads. Perfect for time-sensitive projects.
Only ~200-300MB vs 13GB. Ideal for systems with limited disk space or when you need to keep installations minimal.
If you primarily need AI identification, race number detection, and metadata tagging without advanced geometric matching.
Faster downloads on slower internet connections. Get started quickly without lengthy download times.
Try TagOmatic with minimal commitment. Evaluate core features before deciding if you need the Pro version.
Smaller footprint for portable installations or when deploying to multiple systems. Easier to distribute and manage.
Free forever. No subscriptions, no limits, no strings attached.
Download TagOmatic LITE
Get the installer below (~200-300MB)
Install Ollama
Download from ollama.ai and install
Pull AI Model
Run: ollama pull qwen2.5vl:7b
Start Tagging
Launch TagOmatic LITE and process your first image!
Windows 10/11 (64-bit) • ~200-300MB
Windows 10 (64-bit) or Windows 11
Minimum 8GB (16GB recommended for best performance)
~500MB for application + ~20GB for Ollama models
NVIDIA GPU with CUDA support recommended for faster AI processing
Required: Ollama with qwen2.5vl:7b model
Required for initial Ollama model download. Offline operation after setup.