IBM Datacap vs. UiPath Document Understanding

Once highly customized, IBM Datacap can suit any business unit and scenario. To realize accurate knowledge and insight base on business documents, I would emphasize use of IBM Datacap since it has robust OCR tool that ease document capturing.

Incentivized

Document digitization and classification phase is good in this DU. But sometimes for some documents, you need to work more time to get the expected result.

Incentivized

• Machine learning automates document processing from external applications and sources like scanners.
• Exporting data with just a click to other content repositories.
• Redaction of data based on requester role. Therefore, we are able to block irrelevant or sensitive information based on the specification of users.

Incentivized

• Invoice Extraction
• Rescipt Extraction
• Template-based Data Extraction
• Handling Varied Document Formats
• Integration with OCR Technology
• Handling Unstructured Content

Incentivized

• Image capture through IBM Datacap mobile application hangs when machine learning is processing metadata.

Incentivized

• More stability required when processing High resolution Images
• More Inbuilt AI Modules support required
• Easier navigation

Incentivized

Generally they are very good and reactive to our requests. if we find an issue our error they are quick to add a fix to the next release if needs be.

Incentivized

It's easier to extract data from documents for analytics, unlike other similar platforms.

Incentivized

I opt [for] UiPath Document Understanding [because it] is [an] awesome performer.

Incentivized

• We have protected and safeguarded business information by redacting documents to ensure that confidential data doesn’t reach to irrelevant business users or cyber attackers.
• Business procedures automation has been enhanced by IBM Datacap as part of the Cloud pak, which eases workflow and decision management.
• Being based on modern modular, IBM Datacap allows us to pay for what we use, thus no losses are encountered.

Incentivized

• data classification time is abit problem
• extraction sometimes not work correctly even if you points correct data

Incentivized