Self-host Pictaria Server
v1.2.1AI photo intelligence and curation for Immich libraries
- Stars
- 196
- Port
- 4080 (HTTP web UI and API)
- Requires
- Immich
ghcr.io/pictaria-ai/pictaria-serverWhat is Pictaria Server?
Pictaria Server is a self-hosted web application that connects to your Immich photo library to provide deep insights, AI-powered enrichment, and curation tools. It runs as a single Node.js process (Docker or bare metal) with zero npm dependencies. Key capabilities include: Insights for collection statistics and timeline exploration; Enrich for AI photo classification using local models (Ollama, LM Studio, llama.cpp) or cloud providers (OpenAI, OpenRouter, Venice); Curate for human review of photo stacks with AI-assisted keeper suggestions; Smart Albums that keep real Immich albums synchronized to saved search rules; Frame Remote for live control of Pictaria Frame devices; Voice features for photo Q&A and text-to-speech; and Activity logging for audit trails. All configuration is managed through a web UI with runtime changes, no restart required. The server uses SQLite for local state and requires an Immich 2.0+ instance. Licensed under AGPL-3.0-only.
Should you self-host Pictaria Server?
Pictaria Server scores 48/100 on selfhost.directory (how scoring works) and ranks #25 of 41 in Photo Management. It has 196 GitHub stars.
It shipped 5 stable releases in the past year. The latest, v1.2.1, came out on 12 September 2026. New versions land roughly every 3 days.
Setup is moderate: expect some configuration beyond a single command. An official Docker image is available. It is AGPL-3.0-licensed and written mostly in JavaScript.
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 Pictaria Server vs Ente side by side.
Features
- Activity Log
- AI Enrichment
- Ambient Display
- Automatic Backups
- Frame Metrics
- Frame Remote
- Human Curation
- Insights
- Runtime Settings
- Smart Albums
- Voice assistant
Pictaria Server README
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