What Is Nanonets Used For: Features, Reviews & Alternatives
AI-based intelligent automation, strong in OCR and document processing.
Editorially updated Oct 5, 2025
The overview
What Nanonets is for
1Core Capabilitie
- Document type classification engine
- Custom field extraction builder
- Pre-trained model library for common document
- Annotation interface for model training
2Specialized Workflow
- API endpoint generation for trained model
- Data validation rule configuration
- Batch document processing queue
- Output data schema definition (JSON, CSV)
Who it helps
Useful ways to use Nanonets
A practical path
Initiate Model Training for a Document Type
Navigate to the web application, sign in, and select 'Create New Model'. Upload a sample set of documents (e.g., purchase orders) that represent the data you intend to extract
External signals
Reviews & reputation
Aggregated review score
Users frequently praise Nanonets for its robust OCR capabilities and the intuitive interface for training custom computer vision models without extensive ML expertise. The platform's ability to handle diverse document types and integrate via API is highly valued. Some feedback points to a learning curve for advanced configurations and potential cost considerations for very high-volume processing.
Quick answers
Frequently asked questions
1What level of accuracy can I expect for OCR on scanned documents with varying quality?⌄
Nanonets employs deep learning models that adapt to document variations. For clean, machine-printed text, expect >95% accuracy. For handwritten or heavily distorted scans, accuracy will depend on the training data provided, but the system is designed to improve with iterative human feedback and re-training.
2Can I integrate Nanonets with my existing enterprise resource planning (ERP) system?⌄
Yes, Nanonets provides robust REST APIs for seamless integration. You can programmatically upload documents for processing and retrieve extracted data, allowing direct connection to most ERP, CRM, or custom backend systems without manual intervention.
3How does Nanonets handle data privacy and security for uploaded documents?⌄
All data uploaded to Nanonets is encrypted in transit and at rest. We adhere to industry-standard security protocols and offer options for data residency and compliance certifications (e.g., GDPR, HIPAA readiness) to ensure your sensitive document information remains protected.
4Is it possible to train a custom model for a unique document type not covered by your pre-built models?⌄
Absolutely. The platform is designed for custom model training. You can upload your specific document samples, define the fields you need to extract, and train a dedicated computer vision model tailored precisely to your unique document layouts and data requirements.
5What are the typical pricing tiers, and do you offer a free trial for evaluation?⌄
Nanonets typically offers tiered subscription plans based on document volume, number of models, and advanced features. A free trial or a 'proof of concept' period is usually available, allowing users to evaluate the platform's capabilities with their own data before committing to a paid plan.
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