A cross-platform desktop application for efficient image captioning using OpenAI, Anthropic, Gemini, OpenRouter, or local models via Ollama and LM Studio. tagmeister helps you organize and caption your datasets with ease on Windows and macOS.

• Browse and view images from any directory
• Generate AI-powered image captions using GPT models (OpenAI, Anthropic, Gemini, OpenRouter, Ollama, LM Studio)
• Choose between cloud (OpenAI, Anthropic) and local (Ollama, LM Studio) captioning backends
• Edit captions manually, save captions automatically
• Keyboard shortcuts for efficient navigation
• Batch processing support
• Resizable panels for customizable layout

• Windows: Windows 10 or later
• macOS: macOS 10.15 or later
• For cloud captioning: OpenAI, Anthropic, Gemini, or OpenRouter API key
• For local captioning: Ollama and/or LM Studio installed (if using local models)
• CORS must be enabled on your LM Studio server and Ollama for local models to work. How to enable CORS for Ollama

1. Download the latest release:
   • Windows: Download the .exe file
   • macOS: Download the .dmg file
2. Windows: Run the executable (no installation required) macOS: Open the DMG and drag tagmeister to your Applications folder
3. Enter your API key(s) in the settings (OpenAI and/or Anthropic, if using cloud models)
4. (Optional) Install Ollama or LM Studio for local model support Important: Make sure CORS is enabled on your LM Studio server and Ollama. How to enable CORS for Ollama
5. Start captioning your images!

# Clone the repository
git clone https://github.com/oshtz/tagmeister.git

# Navigate to the project directory
cd tagmeister

# Install dependencies
npm install

# Run the app in development mode
npm run tauri dev

To build a release version:

# Build for your current platform
npm run tauri build

# The built application will be available in src-tauri/target/release/bundle/

Run npm run tauri build locally whenever you want to publish a new version; all releases are produced manually from a development machine.

1. Click the folder icon to select an image directory
2. Select images from the left panel
3. Choose your preferred captioning backend in the settings (OpenAI, Anthropic, Gemini, OpenRouter, Ollama, or LM Studio)
4. Click "Generate" to create AI captions
5. Edit captions as needed
6. Captions are automatically saved as .txt files alongside your images

• API keys are stored locally in app preferences
• No data is sent to external servers except to the selected AI backend (OpenAI, Anthropic, or your local Ollama/LM Studio instance)
• All image processing is done locally except for caption generation via cloud APIs

Contributions are welcome! Please feel free to submit a Pull Request.