Best Nanonets Alternatives 2026

Looking to switch from Nanonets? Here are the top-performing alternatives from our benchmarks.

Alex RiveraAlex Rivera·Updated March 2026

Common Reasons Teams Leave Nanonets

  • Model training takes days to weeks before production-ready accuracy
  • Per-extraction pricing compounds quickly at scale
  • Accuracy drops sharply on untrained document formats
  • Limited workflow automation and approval features
#1 — Our Pick

Lido

Lido consistently delivered the highest accuracy in our blind benchmarks, and it did so without any model training or template configuration. Upload a...

9.1
From $0/mo (free tier)Full analysis →
#2

Google Document AI

Google Document AI brings world-class ML models to document extraction. Accuracy is excellent — nearly matching Lido in our benchmarks. But it's an AP...

8.8
From $0.06/pageFull analysis →
#3

Rossum

Rossum is a polished enterprise platform with excellent workflow features — approval routing, exception handling, and deep ERP integrations. Accuracy ...

8.6
From Custom pricingFull analysis →
#4

ABBYY Vantage

ABBYY has decades of OCR expertise, and Vantage is their modern cloud platform. Document recognition is excellent. But the platform carries enterprise...

7.7
From Custom pricingFull analysis →
#5

Azure Document Intelligence

Azure Document Intelligence integrates seamlessly into the Microsoft ecosystem — Power Automate, Logic Apps, and Office 365 workflows. Accuracy is com...

7.6
From $1.50/1k pagesFull analysis →
#6

Amazon Textract

Textract scales infinitely on AWS infrastructure and the per-page pricing looks attractive. But it's a raw API — no UI, no workflow tools, and AWS doc...

7.4
From $0.0015/pageFull analysis →
#7

Docsumo

Docsumo targets finance teams with pre-trained models for invoices, bank statements, and tax forms. Setup is straightforward and the UI is clean. Accu...

7.3
From $0.10/pageFull analysis →