Comparison
Super.AI vs Hyperscalers
What’s the difference between Super.ai and Hyperscaler Intelligent Document Processing (IDP) solutions? Let’s take a look at how the features of both approaches compare.
Side-by-side
How super.AI compares to Hyperscalers
Includes: Google Document AI, Microsoft Syntex, AWS Textract, IBM Watson Discovery
Technical
| Metric | super.AI | Hyperscalers |
|---|---|---|
| Accuracy range | high | low |
| Automation level | high | medium |
| Handling changing formats | excellent | partial |
| Supported format types | high | low |
| Custom fields | high | medium |
| Trainable | high | high |
| Scalability | high | low |
| Flexibility | high | medium |
| Expandability | high | high |
| Auditability | high | low |
Business
| Metric | super.AI | Hyperscalers |
|---|---|---|
| Ease of use | high | low |
| Automation ROI | high | medium |
| Adherence | high | high |
| Time to value | fast | slow |
| Time to value (ROI) | high | low |
| Rollout requirements (lower is better) | low | low |
| Security & compliance | high | low |
| Future-proofing | high | low |
| Processing cost | competitive | competitive |
Intelligent Document Processing (IDP)
Automate information extraction from any business document with guaranteed quality using next-generation AI and Data Processing Crowd.