Documents in. Structured data out: Building production-grade extraction workflows

Your agents are only as good as the context they receive. That’s why we’re excited to introduce Nutrient Data Extraction API — to help teams move from static documents to source-grounded outputs that can support AI, automation, search, compliance, and human review.

We’ll show how developers and production teams can parse complex documents into Markdown or spatial JSON; preserve confidence scores and source context; and build extraction workflows that are easier to validate, audit, govern, and act on.

What production-grade extraction really requires

Basic OCR can make text readable, but production workflows need more than text. We’ll cover why structure, confidence, coordinates, and page-level details matter when document data is used downstream.

Parse structure and extract business data

Learn the difference between parsing full document structure and extracting customer-defined business fields. We’ll explain how parsing returns elements like text, tables, layout, handwriting, and figures, while extraction returns specific values in a defined schema.

Choose the right output for the workflow

See how different outputs support different use cases: spatial JSON for structured elements and review, Markdown for AI/search workflows, and schema-based JSON for business-field extraction.

See extraction in action

We’ll walk through representative examples of complex business documents and show how Data Extraction API extracts specific fields, parses full document structure, preserves source grounding, and returns JSON or Markdown that can be reviewed before data moves downstream.

Build reviewable, trusted workflows

Learn why traceability matters when extracted data is used in high-stakes workflows. We’ll show how confidence signals, page references, and source regions help teams review uncertain values before sending data into business systems.

Who should attend

This webinar is for teams building, modernizing, or evaluating document-heavy workflows, including developers, solution architects, product and engineering teams, AI/search teams, data teams, backend teams, automation teams, compliance teams, and operations teams.

It’s especially relevant for teams working with invoices, forms, contracts, reports, statements, scans, or other complex documents.

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Nutrient Data Extraction API gives teams an API-first way to move from trapped document data to source-grounded outputs that systems and people can use. Documents in. Structured data out.

For more on what the API does and how it works, read the announcement post.