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As an example, for RPA Challenge automation, which has 10 web screens and 10 Excel rows, equivalent to inputting 10 contacts into a website, costs ~30 ~10 work units.
1 work unit is used for each detection when UI is changed.
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First web screen in RPA Challenge, Aura detects UI = 1 work unit
Entering data = 1 work unit
Page UI refreshes, Aura redetects new screen = 1 work unit
Aura .
Aura loops and does this 10 times for each contact.
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Cognillo Hosted** | Customer Hosted *** | ||
|---|---|---|---|
Function | Cost in Work Units | Cost in Work Units | Description |
Machine Learning Screen Change Detection | 1 | 1 | Used to detect screen text and controls in user interface. If the UI changes, a redetection occurs and will use work units as listed here. |
Extracting from Web page (Azure Form Recognizer) | 10 5 per page | 1 | If using the ‘Extract from’ command, and Azure Form Recognizer option is enabled, Aura will extract all text, table data and key-value pairs from a web page, and automatically generate variables for them. This could be a web page or any application with data that must be extracted, such as a web form. |
Extracting from Web page (Base64) | 40 30 per detection | 1 per detection | If using the ‘Extract from’ command, and Base64 option is enabled, Aura will extract all text, table data and key-value pairs from a web page, and automatically generate variables for them. This could be a web page or any application with data that must be extracted, such as a web form. Credits increase if the extracted content is more complex such ACORD or tax forms. |
Getting Table Data / Extraction (Azure Form Recognizer) | 10 5 per detection | 1 per detection | If the ‘Get Datatables’ command is used, and Azure Form Recognizer option is enabled, this will auto detect all tables on the UI and store them as datatable variables. By default, both Azure Form Recognizer and Base64 options are used for optimal results. |
Getting Table Data / Extraction (Base64) | 40 30 per detection | 1 per detection | If the ‘Get Datatables’ command is used, and Base64 option is enabled, this will auto detect all tables on the UI and store them as datatable variables. By default, both Azure Form Recognizer and Base64 options are used for optimal results. |
PDF & Image Extraction (Azure Form Recognizer) | 10 5 per page | 1 per file | Used to detect all text in PDFs and Images, providing user with key & value pairs automatically. This also automatically creates datatables from tables in a PDF or Image. By default, both Azure Form Recognizer and Base64 options are used for optimal results. |
PDF & Image Extraction (Base64) | 40 30 per page | 1 per file | Used to detect all text in PDFs and Images, providing user with key & value pairs automatically. This also automatically creates datatables from tables in a PDF or Image. By default, both Azure Form Recognizer and Base64 options are used for optimal results. Credits increase if the extracted content is more complex such ACORD or tax forms. |
All other commands | 0 | 0 | All other commands used for automations do not use additional work units. |
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