AI-Powered Document and Text Analysis Commands
Refer to the table below for a detailed overview of each command and its respective functionalities:
Command | Description |
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Using AI Booster advanced commands requires a license obtained directly from Microsoft via the Azure Cognitive Services website. At the time each such command is executed (at wizard runtime), the license is validated via the Internet. | |
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Convert an image or PDF file to text using the ABBYY recognition engine (OCR) and place the text into a new or existing variable. |
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Convert an image or PDF file to text using the Tesseract recognition engine (OCR) and place the text into a new or existing variable. |
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Check whether a specified word (or one of a set of specified words) appears in a printed or handwritten document. |
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Check whether a specified word (or one of a set of specified words) appears in a scanned document. |
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Analyze the contents of a scanned file to extract key pieces of structured data for each recognized form. |
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Retrieve a date (and time, if it appears) from a scanned document. |
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Extract relevant data from scanned sales receipts (such as transaction time/date, merchant data, taxes/totals, etc.) |
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Determine whether a check box, radio button, or similar selector in a scanned document is selected (checked) by searching for it next to a specified word (the "label word"). |
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Place text from a printed or handwritten document into a variable. |
Place text from a scanned document into a variable. | |
Retrieve a value from a scanned document by searching for it next to a specified word (the "label word"). |
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Analyze a file containing scanned documents for the purpose of performing a sequence of actions on each document. |
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Analyze the printed and handwritten text of a scanned file for the purpose of performing a sequence of actions on each page. |
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Save a scanned document as an image file. |
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Save text from a scanned document into an Excel spreadsheet. |
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Analyze the sentiment of a given text and return the result as a score from 0% to 100% (negative to positive). |
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Analyze a text and detect its language; provide confidence level of the result. |
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Analyze a given text and return a list of detected key phrases. |