Azure AI Document Intelligence vs. IBM Datacap

Document Intelligence has been helpful tool in building run books and operation docs for various infrastructure platforms, the turnaround time in building & accuracy of these docs has been a great time saver for the team. When dealing with unstructured docs with no predictable format it will not understand the relationship to the desired doc you are trying to build.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

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.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• From the Image the OCR technology use to store embedding properly
• From the images the OCR technology automatically capturing text is brilliant
• Also for creating Azure AI Document Intelligence endpoint and keys it is very easy to do

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• 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.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Azure AI Document Intelligence should have used to store image based embedding for multiple languages
• Images storing part is a different area in our case and only for a few images that part can be increased
• Cost is high which should be reduced so more users will come and more technology through this will come

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Supporting documentation is poor
• UI is old fashioned

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

Very good product and will continue to evolve as it's gets refined.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

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.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

Being a large Microsoft customer ultimately the interoperability with the Microsoft ecosystem was the deciding factor to stay unified

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

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

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Significant reduction in manual processing cost by 40-60%
• Improved data accuracy and reduce work
• Scalability is good without cost increase

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• 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

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info