OtterSearch – AI-powered semantic search for PDFs and images

Summary: OtterSearch provides local, AI-driven semantic search for PDFs and images by indexing content rather than filenames. It supports PDF content from the first three pages and uses vector indexing for fast results without cloud involvement or data collection.

What it does

OtterSearch indexes PDF content and image metadata locally, enabling semantic queries that find files based on content, not just filenames. It expands queries using AI and delivers fast results through vector indexing.

Who it's for

It is designed for users managing large collections of unlabeled PDFs and images who need efficient content-based search.

Why it matters

It solves the problem of locating files with non-descriptive names by understanding and searching file content locally and privately.