OCR-Optical Character Recognition-4Paradigm Sage HyperCycle ORC

Industry Leaders Choose 4Paradigm

Barrier-free

Provide user-friendly visual experience and allow IT or business users without any AI expertise to custom OCR models as demanded.
Fully automated

Automatically generate models with the annotated data; provide 100 types of document layouts within one single model, making it easier to access different layouts for one document.
Continuous improvement

HyperCycle methodology enables iterative self-learning from closed-loop feedback, thus realizing iterative improvement and long-term outcome.
Cost-effective

Rapidly build scenario-agnostic OCR models with less investment in labors, and adapt to new business needs in real time. All business lines may benefit due to simple operations and maintenance.

User-friendly interface

Provide user-friendly visual experience; pre-set the optimized training parameters. Business users can individualize their OCR models with simple clicks.
Fully automated OCR modeling

Embed the world’s leading AutoOCR and sample augmentation technologies, eliminating the need for layout configuration. Automatically train the model while annotating data with the embedded tool; allow checking the visualized model effect at any time; and enable one-click model go-live once the desired model effect is reached.
One model for multiple layouts

Provide pre-built and ready-to-use OCR models, covering over 40 common scenarios such as ID cards, driving licenses and bank cards.
High-precision evolvement

Put models into use immediately; visualize the model calls, allowing users to monitor the model usage in real time.
Enable iterative self-learning from closed-loop feedbacks, thus iterating the models and improving accuracy within minutes.