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AURA DCap
faq

FAQ

Common questions and responses.

  • Are there any limitations to the files we upload?

    • There are no limitations for the pdfs as long as the pdfs are in the same format in one model.
    • Size of the image should be less than 4mb

  • Can I run a bunch of pdfs at a time?

    Yes

  • Can I see what all tags/fields are creating an issue in the model?

    After the training is done, we can see the average accuracy of the model including the individual %s of the fields.

  • Can it extract the data from email and process?

    Yes, this falls under the managed service type where we extract the data and perform end- end operation for the customer.

  • Can we delete the fields even after we train a model?

    Yes

  • Can we train 2 different templates of a file in the same model/project?

    No... As many templates are present, those many models/projects need to be there.

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Why Intelligent Data Capture is more than Optical Character Recognition (OCR)

Oct, 2020
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Use Cases

See AI DCap in action. As documents are everywhere, and hence AI DCap fits to any industry and any business function, to reduce overheads.

AI DCap Integration Interfaces

AI DCap is an open platform with multiple ways to ingest documents and export captured data

Manual Integration

Input

Email inbox gateway ( or manual upload )

Output

Queue export ( CSV or XML )

Programmatic Integration (API)

Input

API bulk upload interface

Output

Queue export API ( JSON, XML, CSV ) or annotation tree retrieval

Robotic Integration (RPA)

Ready - made input and output activities based on our API

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