Embedding model can be used to search text inside image

Explain Like I'm Normal

A developer discovered that Google’s Gemma 2 embedding model can effectively search text within images by mapping visual patterns to the same vector space as text. This bypasses traditional OCR pipelines, allowing for fast, semantic search across thousands of screenshots using a tiny 330MB file. While experimental, it suggests small local models are becoming surprisingly competent at cross-modal retrieval.