Image Structured Extraction

Automate the transformation of visual data from any image into clean, validated JSON or Pydantic schemas.

Image Structured Extraction is the process of converting unstructured visual information into a predictable, machine-readable format: think JSON or XML. This is not basic Optical Character Recognition (OCR); it leverages Multimodal Language Models (e.g., GPT-4o) to understand context and relationships within the image. We use this to reliably pull specific data fields—like an invoice number, a pharmaceutical dosage (500mg), or product metadata (color: 'navy', size: 'L')—and map them directly to a defined schema. This two-step approach (OCR for text, LLM for structure) ensures high-accuracy extraction and validation, making data instantly actionable for downstream systems.

https://www.useinstructor.com/blog/extracting-metadata-from-images-using-structured-extraction