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1 work unit is used for each detection when UI is changed.
Details of
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Work Unit Usage
Example: Website to enter new contacts. First web screen in RPA Challengea web page, Genta detects controls and labels in the UI = 1 work unit.
Genta loops and does this 10 times for each contact. If screen does not change, no additional credits / work units used. Otherwise, 1 work unit used per contact.
Genta may need to redetect screen additional times if elements on screen change.
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Cognillo Hosted** | Customer Hosted *** | ||
|---|---|---|---|
Function | Cost in Work Units | Cost in Work Units | Description |
Machine Learning Screen Change & Control 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. |
Genta Chat (Built on Azure Open AI ChatGPT) | 1 per 25 words (request + response)1 | 0 | Used to create automations and scripts using human language prompt. |
Extract from Web Page or Windows Application | 0 | 0 | Used to extract text from the UI using Capture, Data Scrape or Get Element Collection. This information can then be stored / saved to Excel or a variable for processing. |
Extracting from Web page (Azure AI Document Intelligence)* | 5 per page | 1 | If using the ‘Extract from’ command, and Microsoft Azure AI Document Intelligence option is enabled, Genta 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)* | 30 per detectionpage | 1 per detection | If using the ‘Extract from’ command, and Base64 option is enabled, Genta 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. (Base64 only) Credits increase if the extracted content is more complex such ACORD or tax forms. |
Getting Table Data / Extraction (Azure AI Document Intelligence)* | 5 per detection | 1 per detection | If the ‘Get Datatables’ command is used, and Microsoft Azure AI Document Intelligence option is enabled, this will auto detect all tables on the UI and store them as datatable variables. |
Getting Table Data / Extraction (Base64)* | 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. |
PDF & Image Extraction (Azure AI Document Intelligence)* | 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. |
PDF & Image Extraction (Base64)* | 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. (Base64 only) 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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