# Panoptikon

A local search engine that indexes images, video and other hard-to-search files using OCR, speech-to-text, image embeddings and automated tagging, letting several models' results sit side by side at search time.

Panoptikon indexes local files with a combination of machine learning models, making media such as images and video that are otherwise difficult to search findable through natural queries. It combines OCR, speech-to-text transcription, image and text embeddings, full-text search, automated tagging and automated image captioning into one system, and is designed to be fully configurable, so a custom model or a newer fine-tune can be added with a few lines of configuration once it is supported by one of the built-in model classes.

It deliberately keeps index data from multiple different models, or different configurations of the same model, side by side rather than replacing one with another, letting a search choose which results to draw on and compare methods against each other directly. It never copies, moves or otherwise modifies the user's original files; it only needs the directories added to its allowed paths and tracks files by hash so renaming or moving them afterward does not break the index.

It is written in Rust.

Website: https://github.com/reasv/panoptikon