Self-host LLMII (ImageIndexer)
Local AI image tagger writing metadata to photo files
- Stars
- 397
- CPU
- Discrete GPU recommended (Apple Metal, Nvidia CUDA, or AMD Vulkan)
- Requires
- Exiftool, Python
What is LLMII (ImageIndexer)?
LLMII is a cross-platform desktop tool for photographers who want AI-powered image tagging without cloud uploads. It bundles KoboldCPP as a local inference backend, downloads a vision-language model on first run, and uses ExifTool to embed generated captions and keywords into each image's metadata or an XMP sidecar. The GUI lets you choose one-step or two-step processing, adjust sampler settings, skip folders, reprocess failures, and review results in an image viewer. All processing happens locally on Windows, macOS, or Linux; a discrete GPU with 8 GB VRAM is recommended for usable speed. Licensed GPL-3.0 with no paid tiers.
Should you self-host LLMII (ImageIndexer)?
LLMII (ImageIndexer) scores 43/100 on selfhost.directory (how scoring works) and ranks #35 of 41 in Photo Management. It has 397 GitHub stars.
There was no stable release in the past 12 months, so check the repository's recent activity before you rely on it.
Setup is moderate: expect some configuration beyond a single command. It is GPL-3.0-licensed and written mostly in Python.
Its closest alternative on selfhost.directory is Ente (81/100, 29 693 stars). It scores higher overall, so compare the two before you pick. See LLMII (ImageIndexer) vs Ente side by side.
Features
- Automatic model download
- Cross-platform
- Fully local processing
- GPU Acceleration
- Graphical user interface
- Highly Configurable
- Image review viewer
- Local AI image analysis
- Metadata Embedding
- Multi-format Support
- Multiple model support
- One or two-step processing
- Pretend mode
- Resume capability
- Sidecar file option
LLMII (ImageIndexer) README
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