Handwriting OCR vs. OpenText Intelligent Capture
A side-by-side comparison based on G2 review data.
| Metric | Handwriting OCR | OpenText Intelligent Capture |
|---|---|---|
| Overall rating | 4.5 | 4.2 |
| Review count | 15 | 57 |
| Ease of use | 9.3 | 8.5 |
| Ease of setup | 9.2 | 8.5 |
| Quality of support | 8.8 | 8.1 |
| Meets requirements | 9.1 | 8.7 |
| NPS | 86.666667 | 35.849057 |
| Small Business | 53.3% | 52.6% |
| Mid-Market | 40.0% | 29.8% |
| Enterprise | 6.7% | 17.5% |
| Total page views | 145 | 152 |
| Total LLM citations | 1,264 | 478 |
Handwriting OCR
Handwriting OCR converts handwritten and printed documents into searchable, editable text using AI models trained on hundreds of millions of public-domain documents. Unlike traditional OCR that fails on handwriting, our AI-powered recognition handles cursive, historical scripts (including Sütterlin and Kurrent), and messy handwriting with accuracy that was impossible before modern machine learning.
- Setup Ease
- Ease of Use
- User Interface
OpenText Intelligent Capture
OpenText Intelligent Capture automates content ingestion, speeding up the routing of information to the right users and system in the organization. It provides an entry point for intelligent process automation (IPA) by removing unnecessary steps from users. Combining standard capture features, such as optical character recognition (OCR), with powerful machine learning, Intelligent Capture extracts information from content and automatically routes it to the right user and right lead system.