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.
What will happen to the raw documents after the data extraction?
Based on the customer requirement, we can save the documents in our database until the docs are processed. Some customers drop the docs in their SharePoint and our team can upload the docs directly from the SharePoint. So based on the customer’s use case, we can save the docs in our database.
What happens to failed files?
Due to some reasons, like a different format than the trained documents, or quality enhancement issues, some docs could not get processed. Those docs sit in our error queue. The support user gets notified when this happens, and the user can retrain documents and successfully process them.
Do the customers get notified of these errors?
Based on the client’s requirement, we can provide the error log link to the customer. Like an e-mail notification, or a text message with the detailed info of error files.
What sets aiAURA DCap different from the competitors?
aiAURA DCap automates the data extraction process by up to 90% with AURA . Along with Data, extraction aiAURA DCap performs further validations like- Checking the extracted data to master data. Identifying the checkboxes are a difficult task coming to the docs, aiAURA DCap uses AURA and Machine learning techniques which enhance the quality of […]
What sort of data does aiAURA DCap can handle?
aiAURA DCap is well trained to understand both the sorted data and unsorted data. For example, if a big merged pdf with 100 docs is the requirement from the customer, aiAURA DCap can sort the unsorted merged pdf by itself and reads the doc as a human.
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