---
title: "Introducing Nutrient Data Extraction API"
canonical_url: "https://www.nutrient.io/blog/introducing-nutrient-data-extraction-api/"
md_url: "https://www.nutrient.io/blog/introducing-nutrient-data-extraction-api.md"
last_updated: "2026-11-10T11:37:24.527Z"
description: "Announcing Nutrient Data Extraction API: Parse complex documents into Markdown or spatial JSON with confidence scores and source grounding for automation and review."
---

# Introducing Nutrient Data Extraction API: Turn complex documents into structured, reliable data for AI

Documents contain some of the most important data in a business. But too often, that data is trapped inside PDFs, scans, images, forms, invoices, statements, records, reports, and other hard-to-process files. Many document workflows still depend on manual review, retyping, copy-paste steps, brittle templates, or one-off scripts. These tedious approaches slow teams down and make it more difficult to build truly reliable workflows for automation and AI.

Optical character recognition (OCR) makes scanned or image-based documents machine-readable, but extracting text is only the first step. Production-grade workflows need structured data. For audit and review, extracted text needs to be traceable back to the source document.

As organizations bring AI into document-heavy workflows, the challenge is no longer accessing intelligence. It’s making that intelligence reliable enough to act on.

That’s why we’re introducing [Nutrient Data Extraction API](https://www.nutrient.io/api/data-extraction-api/). It turns complex documents into structured and auditable data for high-stakes workflows. It helps developers and agents parse documents, extract what matters, preserve source context, validate outputs, and deliver reliable data at scale.

## Going beyond basic OCR

Nutrient Data Extraction API goes beyond basic OCR by providing confidence scores and linking extracted text back to its source location, which preserves layout information. The result is data that’s easier to validate, audit, and use downstream.

That means teams can work with documents that include:

- Scanned text

- Tables, forms, and key-value pairs

- Complex layouts

- Handwriting, formulas, checkboxes, and images

- Extracted values that need to be traced back to their source location in the document

## Build traceable document workflows for AI, automation, and human review

Use Nutrient Data Extraction API to support workflows such as document intake, form and field extraction, table extraction, invoice and statement processing, search indexing, compliance workflows, and human review. It’s designed for teams that need to build document extraction directly into their own products and workflows. The parse layer — text extraction, OCR, coordinates, and reading order — is deterministic. AI extraction, in `understand` and `agentic` modes and through the extract endpoint, can vary between runs, which is why each extracted value carries its source location for review. That makes the API useful for:

- AI and data teams preparing documents for retrieval-augmented generation (RAG), search, and knowledge systems

- Backend teams automating intake, classification, and processing workflows

- Product teams embedding document understanding into customer-facing applications

- Compliance and operations teams that need reviewable, traceable outputs

## Choose the processing mode your workflow needs

Some documents only require fast text output. Others require OCR-based structure, layout-aware parsing, schema-driven extraction, or source-grounded outputs that can be reviewed and validated.

Data Extraction includes these APIs:

- **[Parse](https://www.nutrient.io/guides/dws-data-extraction/parsing.md)** returns the full document content as clean, large language model (LLM)-ready Markdown or JSON blocks.

- **[Extract](https://www.nutrient.io/guides/dws-data-extraction/extract.md)** pulls out specific fields — such as invoice number or total amount — that you define in a schema.

- **[Classify](https://www.nutrient.io/blog/route-documents-automatically-classify-api.md)** sorts a document into a caller-defined set of categories for routing documents before they’re parsed or extracted.

- **[Split](https://www.nutrient.io/guides/dws-data-extraction/split.md)** finds where each document starts and ends in a merged file and returns the page range of each one.

Start with `auto`, the recommended starting mode, which routes each page to `structure`, `understand`, or `agentic`. Or choose between multiple explicit [processing modes](https://www.nutrient.io/guides/dws-data-extraction/parsing/processing-modes.md) to balance extraction depth, speed, and cost — depending on the document and desired outcome:

- **Fast `text` mode** — Choose it when you need low-cost text extraction from born-digital documents.

- **`structure` mode** — Use it when you need OCR-based parsing for scanned or image-based documents, including layout, tables, key-value regions, bounds, confidence, and page context.

- **`understand` mode** — Apply it when you need deeper parsing for complex layouts, handwriting, formulas, OCR correction, and richer document structure.

- **`agentic` mode** — Use it when you need advanced reasoning, review, and recovery for more complex extraction workflows with AI-guided support.

This flexibility helps teams build document workflows that match the complexity of the files they process.

## Designed for developers and production teams

Nutrient Data Extraction API is built for organizations that need to move quickly from evaluation to implementation.

To test the API and evaluate if it fits your needs, get started with [Data Extraction API Studio](https://dashboard.nutrient.io/data-extraction-api/studio/), where you can see structured data extracted from your documents in your browser and define your extraction schema. After that, integrate extraction into your real workflow with the REST API, or see code examples in JavaScript, Python, Java, and PHP.

## Documents in. Reliable data out.

Nutrient Data Extraction API gives teams an API-first way to move from trapped document data to structured, source-grounded outputs that can power automation, search, AI, compliance, and human review.

[Try Nutrient Data Extraction API for free](https://dashboard.nutrient.io/data-extraction-api/), [view the documentation](https://www.nutrient.io/guides/dws-data-extraction/getting-started.md), or read the [Data Extraction API](https://www.nutrient.io/api/data-extraction-api/) overview. To see grounded extraction in action across real document types, explore the [open source demo repository](https://github.com/PSPDFKit/nutrient-extraction-samples).
---

## Related pages

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- [Accessibility Untangled Why It Matters Guide](/blog/accessibility-untangled-why-it-matters-guide.md)
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- [Auto Tagging And Document Accessibility In Dotnet Sdk](/blog/auto-tagging-and-document-accessibility-in-dotnet-sdk.md)
- [Simple PII redaction.](/blog/automated-pii-removal.md)
- [Automation Platform](/blog/automation-platform.md)
- [Azure Document Intelligence Alternatives](/blog/azure-document-intelligence-alternatives.md)
- [schema.py.](/blog/bank-statement-to-excel.md)
- [Barcode Ocr](/blog/barcode-ocr.md)
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- [Best Document Parsing Apis](/blog/best-document-parsing-apis.md)
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- [or](/blog/best-vue-pdf-viewers.md)
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- [Digital Signatures](/blog/digital-signatures.md)
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- [Docling Alternatives](/blog/docling-alternatives.md)
- [Document Ai Vs Ocr](/blog/document-ai-vs-ocr.md)
- [Document Authoring Audit Trail](/blog/document-authoring-audit-trail.md)
- [Document Authoring Spreadsheet Editor](/blog/document-authoring-spreadsheet-editor.md)
- [Document Extraction Confidence Scores](/blog/document-extraction-confidence-scores.md)
- [Document Extraction For Underwriting](/blog/document-extraction-for-underwriting.md)
- [Document Viewer](/blog/document-viewer.md)
- [Document Watermarking](/blog/document-watermarking.md)
- [Debian/Ubuntu.](/blog/easyocr-vs-tesseract-python.md)
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- [Extract Tables From Complex Pdfs](/blog/extract-tables-from-complex-pdfs.md)
- [Create and activate a virtual environment (recommended).](/blog/extract-text-from-pdf-pymupdf.md)
- [app.py](/blog/extract-text-from-pdf-using-python.md)
- [Stricter thresholds for fields that move money. Calibrate on your own sample.](/blog/extraction-hallucination-detection.md)
- [Fillable Pdf](/blog/fillable-pdf.md)
- [Google Document Ai Alternatives](/blog/google-document-ai-alternatives.md)
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- [or](/blog/how-to-build-a-javascript-pdf-viewer-with-pdfjs.md)
- [or](/blog/how-to-build-a-javascript-pdf-viewer.md)
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- [or](/blog/how-to-build-a-reactjs-pdf-viewer.md)
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- [Swift Package Manager](/blog/mobile-pdf-sdk.md)
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- [Pdf Text Extraction](/blog/pdf-text-extraction.md)
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- [macOS](/blog/pdfjs-generating-pdf-thumbnails-pdf2pic.md)
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- [Pdfjs Server Side Text Extraction](/blog/pdfjs-server-side-text-extraction.md)
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- [Pdfjs Text Highlight Annotations](/blog/pdfjs-text-highlight-annotations.md)
- [Pdfjs Text Search Pdffindcontroller](/blog/pdfjs-text-search-pdffindcontroller.md)
- [Pdfjs Thumbnail Sidebar](/blog/pdfjs-thumbnail-sidebar.md)
- [Pdfplumber Python Guide](/blog/pdfplumber-python-guide.md)
- [People Process Tools](/blog/people-process-tools.md)
- [Process Flows](/blog/process-flows.md)
- [React Docx Editor](/blog/react-docx-editor.md)
- [React Native Pdf Annotation](/blog/react-native-pdf-annotation.md)
- [React Pdf Annotation Layer Forms](/blog/react-pdf-annotation-layer-forms.md)
- [React Pdf Custom Rendering Hooks](/blog/react-pdf-custom-rendering-hooks.md)
- [Using Yarn.](/blog/react-pdf-editor.md)
- [React Pdf Loading States Errors Passwords](/blog/react-pdf-loading-states-errors-passwords.md)
- [React Pdf Non Latin Fonts Special Pdfs](/blog/react-pdf-non-latin-fonts-special-pdfs.md)
- [React Pdf Outline Table Of Contents](/blog/react-pdf-outline-table-of-contents.md)
- [React Pdf Performance Optimization](/blog/react-pdf-performance-optimization.md)
- [React Pdf Setup Basic Rendering](/blog/react-pdf-setup-basic-rendering.md)
- [React Pdf Text Layer Custom Renderer](/blog/react-pdf-text-layer-custom-renderer.md)
- [React Pdf Thumbnails Page Navigation](/blog/react-pdf-thumbnails-page-navigation.md)
- [Reducto Alternatives](/blog/reducto-alternatives.md)
- [Requisition System](/blog/requisition-system.md)
- [labels.py](/blog/route-documents-automatically-classify-api.md)
- [or](/blog/sample-blog-updated.md)
- [Sdk Product Updates Q2 2026](/blog/sdk-product-updates-q2-2026.md)
- [System Of Record Vs Source Of Truth](/blog/system-of-record-vs-source-of-truth.md)
- [Add DWS MCP Server to your Claude Code project.](/blog/teaching-llms-to-read-pdfs.md)
- [Open an image file.](/blog/tesseract-python-guide.md)
- [The Six Best Pdf Generator Apis](/blog/the-six-best-pdf-generator-apis.md)
- [Define the HTML part of the document.](/blog/top-10-ways-to-generate-pdfs-in-python.md)
- [Top 5 Javascript Pdf Viewers](/blog/top-5-javascript-pdf-viewers.md)
- [Top Js Pdf Libraries](/blog/top-js-pdf-libraries.md)
- [Top Ten Ways To Convert Html To Pdf](/blog/top-ten-ways-to-convert-html-to-pdf.md)
- [Unstructured Alternatives](/blog/unstructured-alternatives.md)
- [Using Javascript In Pdf Form Fields](/blog/using-javascript-in-pdf-form-fields.md)
- [Vector Pdf](/blog/vector-pdf.md)
- [Wcag2 Accessibility Requirements Documents](/blog/wcag2-accessibility-requirements-documents.md)
- [Web Pdf Sdk Legal Review](/blog/web-pdf-sdk-legal-review.md)
- [Web Sdk Is Now Headless](/blog/web-sdk-is-now-headless.md)
- [What Are Annotations](/blog/what-are-annotations.md)
- [What Is A Vpat](/blog/what-is-a-vpat.md)
- [What Is Bpms](/blog/what-is-bpms.md)
- [What Is Business Logic](/blog/what-is-business-logic.md)
- [What Is Document Processing](/blog/what-is-document-processing.md)
- [What Is Intelligent Document Processing](/blog/what-is-intelligent-document-processing.md)
- [What Is Ocr Invoice Processing](/blog/what-is-ocr-invoice-processing.md)
- [What Is Pdf Ua](/blog/what-is-pdf-ua.md)
- [Introducing WholeDoc Bench: A benchmark for parsing whole documents](/blog/wholedoc-bench-parsing-benchmark.md)
- [Why Pdfium Is A Trusted Platform For Pdf Rendering](/blog/why-pdfium-is-a-trusted-platform-for-pdf-rendering.md)
- [Why Your Ai Agent Hallucinates Pdf Table Data](/blog/why-your-ai-agent-hallucinates-pdf-table-data.md)
- [Workflow Analysis](/blog/workflow-analysis.md)

