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Nutrient Data Extraction API

Documents & Productivity

Extract AI-ready JSON or Markdown from PDFs, scans, images, and Office files with OCR, schemas, source citations, confidence scores, and layout data.

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About Nutrient Data Extraction API

Nutrient Data Extraction API is a cloud API for parsing PDFs, scanned documents, images, and Office files into structured data. It converts documents into spatial JSON or Markdown, identifying elements such as tables, forms, formulas, images, charts, handwriting, key-value regions, headings, lists, and reading order, and returns each extracted value with bounding boxes, confidence scores, and page position.

The API supports mapping extracted data to a user-defined JSON Schema, with a schema generator available in the product's Studio interface to scaffold schemas from example documents. It offers multiple processing modes to balance speed, cost, and extraction depth, and handles multilingual documents.

It is intended for building document workflows that feed downstream systems such as databases, ERPs, CRMs, review queues, AI agents, retrieval-augmented generation pipelines, and search indexes. Output is designed to support validation and review through confidence scores, coordinates, and source evidence before being used in automated processes.

Key features

  • Parses PDFs, scans, images, and Office files into spatial JSON or Markdown
  • Detects tables, forms, formulas, images, charts, handwriting, key-value regions, headings, and lists
  • Preserves page position, confidence scores, and reading order for extracted elements
  • Maps extracted data to a custom JSON Schema, with a schema generator in Studio
  • Extracts complex tables with rows, columns, spans, captions, and footnotes preserved
  • Offers multiple processing modes to choose speed, cost, or depth

Frequently asked questions

What file types does the Data Extraction API support?

It processes PDFs, images, Office files, scans, and multilingual documents through one API.

What output formats does it return?

It returns spatial JSON with coordinates, confidence, and page context, or Markdown for AI and search use cases.

Can I define a custom schema for extracted data?

Yes, you can define a JSON Schema for the fields you need or scaffold one from example documents using the schema generator in Studio.

Who is this API for?

It is used by enterprises, governments, and AI-native teams building document workflows, including companies like Lufthansa, Disney, Autodesk, UBS, Dropbox, and IBM.

Is there a free way to try the API?

Yes, you can get a free API key and use Studio to try it.

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