Nanonets extracts structured data from invoices, receipts, and documents using no-code AI OCR with API integration and workflow automation.
Editor's take: “AI document processing with useful extraction features” — Sohail Akhtar
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Nanonets extracts structured data from invoices, receipts, and documents using no-code AI OCR with API integration and workflow automation.
Editor's take: “AI document processing with useful extraction features” — Sohail Akhtar
Reviewed by Sohail Akhtar
Lead Editor & Founder
What we like
Limitations
| Plan | Details |
|---|---|
| Free | $200 in processing credits included at signup. No platform fees or fixed monthly seat costs. |
| Pay-per-use | Usage-based billing per block execution within workflows. No fixed monthly platform fee. |
| Volume | Volume discounts for higher usage and additional discounts for annual usage commitments, available through the Nanonets sales team. |
Nanonets provides $200 in processing credits at account signup with no platform fees or fixed monthly costs. Ongoing usage is billed per block execution within a workflow. Volume discounts are available for higher usage, and additional savings apply to annual usage commitments. Full pricing details and volume tiers are available by contacting the Nanonets sales team at nanonets.com.
Quick Summary
Nanonets is an AI-powered document processing platform that extracts structured data from invoices, receipts, contracts, identity documents, and other file types using optical character recognition and machine learning. It is designed for finance, procurement, HR, and legal teams that process large volumes of documents and need to reduce manual data entry. Users train custom extraction models through a visual no-code interface and connect outputs to downstream systems via API or workflow integrations.
Associated Tags
ai document ocr, invoice data extraction, no-code document ai, automated data capture, kyc document processing
Who should use Nanonets?
Discover practical workflows and real-world scenarios where Nanonets delivers key solutions.
An accounts payable team uses Nanonets to automatically extract vendor name, invoice number, line items, and totals from incoming invoices, routing the structured data to their ERP for approval without manual entry.
A financial services compliance team uses Nanonets to process identity documents during KYC onboarding, extracting name, date of birth, and document number fields for downstream verification workflows.
An HR department uses Nanonets to capture fields from employee onboarding paperwork and contracts, automatically populating their HR management system without manual transcription.
A procurement team processes supplier contracts at volume using Nanonets, extracting key terms, dates, and obligation fields to populate a centralized contract management database.
An insurance company integrates Nanonets into their claims processing pipeline to extract structured data from claims documents and receipts, reducing manual review time for adjusters.
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