A-Z on intelligent data capture

Why traditional OCR no longer cuts muster in regards to your artificial intelligence future

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Paper still forms a part of 25-30% of business operations in most enterprises, across all business domains. Where paper is involved, error and latency creep in. However, when it comes to business, you need to function at optimal speed and efficiency in order to deliver quality results. Delivering quality results sets you up for your artificial intelligence future.

Higher-level accuracy

Intelligent Data Capture enables ‘image enhancement’ and ‘data quality improvement’ leading to higher levels of accuracy of the captured data and minimizes manual intervention.

End-to-end automation

Intelligent Data Capture is more advanced as compared to traditional OCR and helps enterprises in deploying ‘end-to-end automation,’ even in document-driven enterprises. It thus helps to bring a paper-based work environment to the same level as its ‘digital-native counterpart’.

Process unstructured data

Intelligent Data Cature provides much more throughput and efficiency in processing unstructured data as compared to manual operations. It is the missing link in affecting total automation in an enterprise.

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