Hyperscience
Hyperscience is an intelligent document processing platform that uses machine learning to automate data extraction from complex documents and handwritten forms to streamline your back-office workflows and operations.
Nanonets
Nanonets is an AI-powered document processing platform that uses machine learning to automatically extract structured data from unstructured documents like invoices, receipts, and ID cards to streamline your workflows.
Quick Comparison
| Feature | Hyperscience | Nanonets |
|---|---|---|
| Website | hyperscience.com | nanonets.com |
| Pricing Model | Custom | Freemium |
| Starting Price | Custom Pricing | Free |
| FREE Trial | ✘ No free trial | ✓ 7 days free trial |
| Free Plan | ✘ No free plan | ✓ Has free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2014 | 2017 |
| Headquarters | New York, USA | San Francisco, USA |
Overview
Hyperscience
Hyperscience helps you transform unstructured document data into actionable digital information with high accuracy. Instead of relying on manual data entry, you can use its machine learning models to read and classify diverse document types, including messy handwriting, low-resolution scans, and complex forms. The platform doesn't just extract text; it understands the context of your data to ensure your downstream systems receive clean, validated information.
You can integrate the platform into your existing tech stack to automate high-volume processing tasks in insurance, banking, and government sectors. It allows your team to focus on exception handling rather than rote transcription, which significantly reduces processing times and operational costs. Whether you are processing mortgage applications or claims forms, the software adapts to your specific document layouts and business rules.
Nanonets
Nanonets helps you transform messy, unstructured documents into actionable digital data instantly. Instead of manual data entry, you can upload PDFs, images, or scanned documents and let the AI extract specific fields like dates, amounts, and line items with high accuracy. It learns from your corrections, meaning the system gets smarter and more precise the more you use it for your specific business needs.
You can integrate this automated data flow directly into your existing tech stack, whether you are managing accounts payable, processing KYC documents, or digitizing logistics paperwork. The platform is designed for operations and finance teams who need to eliminate bottlenecks in document-heavy processes. By automating these repetitive tasks, you can reduce processing times from hours to seconds while maintaining a searchable, organized digital archive of all your business documentation.
Overview
Hyperscience Features
- Intelligent Word Recognition Extract printed and handwritten text from documents with high precision, even when dealing with poor image quality or cursive.
- Automated Classification Sort and categorize incoming documents automatically so you can route information to the right department without manual intervention.
- Guided Human-in-the-Loop Review only the most complex cases where the AI flags low confidence, allowing you to maintain 99% data accuracy.
- Flexible Layout Machine Learning Process documents with varying structures and formats without needing to build rigid templates for every new form type.
- Performance Reporting Track your automation rates and accuracy levels through detailed dashboards to identify further opportunities for process improvement.
- Pre-built Connectors Link your document processing directly to tools like Blue Prism, UiPath, and SAP to create end-to-end automated workflows.
Nanonets Features
- Automated Data Extraction. Extract text, tables, and specific data points from any document type automatically using advanced OCR and machine learning.
- Custom Model Training. Train your own AI models by simply labeling a few documents to handle unique layouts and niche industry forms.
- No-Code Workflow Builder. Set up complex document validation rules and approval workflows using a simple visual interface without writing any code.
- Line Item Capture. Capture complex table data and nested line items from multi-page invoices and purchase orders with high precision.
- Auto-Learning Engine. Improve your accuracy over time as the AI learns from your manual validations and corrections in real-time.
- Multi-Language Support. Process documents in over 40 languages, allowing you to manage global operations and international paperwork effortlessly.
Pricing Comparison
Hyperscience Pricing
Nanonets Pricing
- First 500 pages free
- Limited fields extraction
- Standard OCR features
- Email support
- Wallet-based credits
- Everything in Free, plus:
- Up to 5,000 pages/month
- Auto-capture line items
- Custom model training
- Priority chat support
- API and Webhook access
Pros & Cons
Hyperscience
Pros
- Superior accuracy with messy handwriting compared to standard OCR
- Intuitive interface for human-in-the-loop exception handling
- Significant reduction in manual data entry requirements
- Scales effectively for massive document processing volumes
Cons
- Requires significant initial data for model training
- Implementation process can be complex for smaller teams
- High entry price point targets enterprise-level budgets
Nanonets
Pros
- High extraction accuracy even with blurry or rotated images
- Extremely fast setup for standard documents like invoices
- Intuitive interface makes training custom models very simple
- Responsive customer support team helps with technical setup
Cons
- Pricing can scale quickly for very high-volume users
- Initial setup for complex tables requires careful labeling
- Occasional slowdowns when processing very large batch files