Nanonets Platform:Data Extraction

The data your processes run on,
extracted.

Invoices, purchase orders, bills of lading, and every other document your team keys by hand. Nanonets reads them in any format and delivers clean, structured data straight into your systems.

#1 on the IDP Leaderboard·ahead of Gemini, GPT-5, and Claude

INVOICE.pdf
VendorAcme Corp
Invoice #INV-0614
Amount$4,200.00
Date2025-06-14
GL code6100
Delivered to SAP

Built for your processes

Built for the documents behind your processes

Not a raw parser to wire up yourself. Extraction tuned to the work your team already does, with the data landing where it belongs.

Accounts payable

Invoices, receipts, statements

matched, coded, and posted to your ERP

Order management

Purchase orders, order confirmations

validated and turned into sales orders

Logistics

Bills of lading, PODs, freight invoices

reconciled and posted to your WMS or TMS

And beyond

Contracts, claims, KYC, bank statements

extracted and routed wherever they need to go

How it works

Ingest, extract, review, deliver

Incoming5 files
invoice-acme-06.pdfPDF
bill-of-lading-4471.jpgIMG
purchase-order-Q2.xlsxXLS
vendor-statement.docxDOC
remittance-fwd.emlEML
1
Ingest any format
Documents arrive by email, upload, API, or scan, in any format. No templates to build and no per-vendor setup.
Extracted fieldsgrounded
vendorAcme Corp
invoice_noINV-0614
amount$4,200.00
date2025-06-14
gl_code6100
2
Extract every field
Every field, table, and line item is pulled with the #1-ranked model and grounded to its spot on the page.
Confidence1 flagged
vendor
99%
invoice_no
98%
amount
96%
gl_code
64%
date
97%
gl_code routed for human review
3
Review exceptions
Low-confidence fields route to a person with full context. Nothing passes downstream silently.
Deliveredposted
ERPSAPPosted
CRMSalesforceSynced
DBPostgresWritten
4
Deliver to your systems
Clean, structured data is posted to your ERP, CRM, database, or downstream agent.

Why teams pick Nanonets

Best-in-class extraction, built to ship

#1

On the IDP Leaderboard

Ranked ahead of Gemini, GPT-5, and Claude on idp-leaderboard.org.

95%+

Accuracy in production

Measured on the documents that actually ship, not just public benchmarks.

0

Templates to maintain

New vendor, new layout, new language. No per-format setup, no upkeep.

100%

Grounded and reviewed

Every value tied to its spot on the page, with a human in the loop on exceptions.

How it compares

Nanonets vs alternatives

New document layouts
Nanonets Data Extraction
Any format on day one. No templates, no per-vendor setup.
Template-based OCR
Break on every new vendor or layout; templates to build and maintain.
General-purpose LLM
Handle new layouts, but accuracy drifts and fields drop silently.
Tables & line items
Nanonets Data Extraction
Tables and line items preserved, even across pages.
Template-based OCR
Fragile zonal capture; multi-page tables fall apart.
General-purpose LLM
Often flatten or mis-align rows across pages.
Accuracy
Nanonets Data Extraction
#1 on the IDP Leaderboard, and 95%+ in production.
Template-based OCR
High only on the layouts you tuned for.
General-purpose LLM
Benchmark-good, unpredictable on your real documents.
Trust & grounding
Nanonets Data Extraction
Every value grounded to its exact spot on the page.
Template-based OCR
Confidence scores, but no reasoning behind them.
General-purpose LLM
Confident even when wrong; hallucinations are hard to catch.
Human review
Nanonets Data Extraction
Low-confidence fields routed to a reviewer with full context.
Template-based OCR
Bolt-on review tools, disconnected from extraction.
General-purpose LLM
You build and maintain the review loop yourself.
Delivery
Nanonets Data Extraction
Posted straight to your ERP, CRM, or database.
Template-based OCR
Export a file, then wire up the integration yourself.
General-purpose LLM
Raw JSON out; you own the mapping and delivery.

See it run on your process, with your documents.

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