Google Document AI vs Nanonets: Which Is Better?
Sarah Chen
Updated March 2026 · 8 min read
Google Document AI
7.4
/10- ✓Best-in-class accuracy across document types
- ✓Pre-trained processors for invoices, receipts, contracts, and more
- ✓Powerful custom model training with AutoML
- ✗Complex pricing — costs vary by processor type and page count
- ✗Requires GCP expertise to set up and manage
- ✗Legacy processor deprecation forces migration by mid-2026
Starting at $0.06/page
Nanonets
8.2
/10- ✓Custom model training
- ✓Strong receipt extraction
- ✓Good API documentation
- ✗Requires training data
- ✗Expensive at $499/mo
- ✗Accuracy drops on new formats
Starting at $499/mo
Quick Verdict
Nanonets scores higher overall (8.2/10 vs 7.4/10). Choose Google Document AI if you need ai/ml teams on gcp who need maximum extraction accuracy. Choose Nanonets if you need teams with consistent document formats willing to train models.
Where Google Document AI Wins
- Best-in-class accuracy across document types
- Pre-trained processors for invoices, receipts, contracts, and more
- Powerful custom model training with AutoML
Where Nanonets Wins
- Custom model training
- Strong receipt extraction
- Good API documentation
Feature Comparison
| Feature | Google Document AI | Nanonets |
|---|---|---|
| Overall Score | 7.4/10 | 8.2/10 |
| Starting Price | $0.06/page | $499/mo |
| Accuracy Score | 9.0 | 8.5 |
| Ease of Use | 6.0 | 7.8 |
| Integrations | 8.0 | 8.5 |
| Best For | AI/ML teams on GCP who need maximum extraction accuracy | Teams with consistent document formats willing to train models |
Pricing Comparison
Google Document AI starts at $0.06/page, while Nanonets starts at $499/mo.