Definition
The use of multimodal Gemini models to perform native vision-to-text extraction, converting complex document layouts, charts, and handwriting into structured Markdown or JSON for ingestion into RAG vector stores. Unlike traditional OCR, it leverages large-scale vision-language understanding to maintain semantic context and spatial relationships within the data.
Unlike Google Document AI or Tesseract, Gemini OCR is 'model-native,' meaning the LLM itself 'sees' and interprets the image pixels directly rather than processing a pre-extracted text layer.
"An expert analyst reading a complex architectural blueprint and describing every room's dimensions and purpose into a voice recorder, rather than just photocopy the lines."
- Multimodal RAG(Parent Architecture)
- Vision-Language Model (VLM)(Core Mechanism)
- Layout Analysis(Component)
- Tokenization(Prerequisite for Vectorization)
Conceptual Overview
The use of multimodal Gemini models to perform native vision-to-text extraction, converting complex document layouts, charts, and handwriting into structured Markdown or JSON for ingestion into RAG vector stores. Unlike traditional OCR, it leverages large-scale vision-language understanding to maintain semantic context and spatial relationships within the data.
Disambiguation
Unlike Google Document AI or Tesseract, Gemini OCR is 'model-native,' meaning the LLM itself 'sees' and interprets the image pixels directly rather than processing a pre-extracted text layer.
Visual Analog
An expert analyst reading a complex architectural blueprint and describing every room's dimensions and purpose into a voice recorder, rather than just photocopy the lines.