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What is Automated Data Capture?

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Automated Data Collection, aka Capture Automation, is for Document Classification & Data Extraction
Capture automation is a hyperautomation capability that utilizes natural language processing, text analytics, Intelligent Optical Character Recognition (iOCR), and AI machine learning technologies. It identifies, classifies, and extracts data from unstructured or variable paper or electronic documents and passes the data and metadata along for further processing.
How it works: You take ingested documents (emails, files, scans, faxes, etc.) and upload them to extract, detect, and classify the data needed.
Data Capture is best used in repetitive high-volume work where the data needed to be extracted is known. Thus, in our Automation Alignment Matrix, its best fit is in the High Volume / Repetitive quadrant.
Capture automation is a hyperautomation capability that utilizes natural language processing, text analytics, Intelligent Optical Character Recognition (iOCR), and AI machine learning technologies. It identifies, classifies, and extracts data from unstructured or variable paper or electronic documents and passes the data and metadata along for further processing.
How it works: You take ingested documents (emails, files, scans, faxes, etc.) and upload them to extract, detect, and classify the data needed.
Data Capture is best used in repetitive high-volume work where the data needed to be extracted is known. Thus, in our Automation Alignment Matrix, its best fit is in the High Volume / Repetitive quadrant.