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IDP Glossary: Intelligent Document Processing Terms Explained

·83 words·1 min·
Subhajit Bhar
Author
Subhajit Bhar
I build production-grade document extraction pipelines for businesses that process invoices, lab reports, contracts, and other document types at scale.

Production IDP has its own vocabulary. Some terms are borrowed from adjacent fields and used loosely. Others are used precisely in one context and differently in another.

This glossary covers the terms that matter most in production document extraction pipelines — defined from two years of running live systems, not from vendor documentation.

Each entry explains what the term means, how it works in practice, and where it matters most. Where a concept warrants more depth, there’s a link to a full guide.

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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.