Nanonets Platform:Document Intelligence

Any document in. Structured data out.

Document Intelligence reads any document, from invoices and POs to claims and contracts, and returns clean, structured, agent-ready data. No templates. Ranked #1 on the IDP Leaderboard.

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Building with an API? See Data Extraction Agent.

INVOICE.PDFSTRUCTURED.JSONVENDORAcme Co.INVOICE #INV-4821DATE2026-03-12TOTAL$48,210VALIDATED · 99% CONFIDENCE
#1
IDP Leaderboard
Ahead of GPT-5 and Gemini 3 Pro
99%+
Field accuracy
On production document types
100+
Languages
Including mixed-script documents
Any
Format in
PDF, image, Word, Excel, email

How it works

From a raw document to agent-ready data

Incoming5 files
vendor-invoice-nov.pdfPDF
scan-receipt-0041.jpgIMG
purchase-order-Q4.xlsxXLS
statement-oct-2024.docxDOC
claim-form-fwd.emlEML
1
Ingest any format
PDFs, scans, photos, Word, Excel, and email attachments. No templates and no per-vendor setup. New layouts work on day one.
batch-upload-200pg.pdf200 pp
Invoice12 docs
Purchase Order8 docs
Statement4 docs
2
Classify and split
Identify document types and split multi-document files automatically, so a 200-page batch becomes the right set of invoices, POs, and statements.
Extracted fields12 fields
invoice_noINV-2024-8821
date2024-11-19
vendorAcme Supplies Ltd
subtotal$4,820.00
tax$385.60
total$5,205.60
3
Extract structured data
Pull fields, tables, and line items with layout understanding intact. Output clean JSON or Markdown that agents and systems of record can consume directly.
Confidence1 flagged
invoice_no
99%
vendor
97%
total
95%
tax_id
61%
date
98%
tax_id routed for human review
4
Validate and confirm
Confidence scores on every field. Low-confidence values route to a human reviewer with full context, so nothing wrong flows downstream.

IDP Leaderboard

Ranked #1 overall

Higher combined accuracy than GPT-5.4, Gemini 3 Pro, and every other VLM across OlmOCR, OmniDoc, and IDP Core. Available via API, or deploy in your own VPC for strict data residency.

Rank #1
85.9
Nanonets OCR-3
Rank #2
83.5
GPT-5.4
Rank #3
82.8
Gemini 3 Pro
Rank #4
82.0
Gemini 3 Flash

Real-world performance

Scored on the documents that ship to production

Tested on the document types that hit real pipelines every day: dense filings, multi-column legal text, and clinical records.

94.5%
FinanceBench
Dense SEC 10-K filings averaging 143 pages with nested tables, footnotes, and cross-references.
96.0%
DocBench Legal
Multi-column court filings and legislation with complex formatting, citations, and structural hierarchy.
90.1%
HealthcareBench
Clinical notes, discharge summaries, lab reports, insurance EOBs, and prior authorization forms.

Capabilities

Built for the messy documents real processes run on

Any format, no templates

Visual document understanding handles any layout. No per-format setup, no maintenance when vendors change their forms.

Tables and line items

Preserves table structure and line-item detail, including multi-page tables and nested columns.

Classification and splitting

Auto-classify document types and split multi-document files before extraction.

100+ languages

Native understanding across 100+ languages, including mixed-script and handwritten documents.

Confidence and validation

Field-level confidence scores, validation rules, and human-in-the-loop review on low confidence.

Agent-ready output

Clean JSON, Markdown, or CSV that plugs straight into agents, RAG pipelines, and your systems of record.

Explore the platform

Document Intelligence is one layer of the platform

Agent Builder

Build agents without writing workflow logic.

Context Graph

Encode the rules and exceptions agents drop on their own.

Document Generation

Generate compliant documents from structured data.

Exception Management

Route exceptions to the right person, with full context.

Analytics

Track throughput, cost, and exceptions across workflows.

Workflow Orchestration

Coordinate agents across multi-step processes.

See it run on your process, with your documents.

Start free. No credit card. Or talk to our team about your workflow.

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