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Schema-First

Schema-First Extraction: What It Is and Why It Matters for Production IDP

·786 words·4 mins
Schema-first extraction is an approach to document processing where you define the output structure — every field, its type, its validation rules — before writing a single line of extraction logic. The schema is the specification. It describes exactly what a successful extraction looks like: which fields are required, which are optional, what format dates should be in, what range is valid for numeric values. Extraction logic is then written to satisfy that specification.

Schema-First PDF Extraction in Python with Pydantic

·1186 words·6 mins
Most PDF extraction projects start with the document. You open a PDF, look at the text, write a regex, extract a value. Repeat for each field. This works for one document type with one layout. It doesn’t scale. Schema-first extraction inverts the order: define exactly what the output should look like before you write a single line of extraction code. The schema becomes the specification that every extraction function has to satisfy — and the tool that tells you, immediately and explicitly, when an extraction fails.