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Translate text into usable data with handwriting recognition

Discover how Automation Hero translates text into usable data with handwriting recognition to help businesses save time and money.

two people looking at paper discussing handwriting recognition

Businesses waste valuable time and money processing handwritten notes, requests, receipts, invoices and statements (just to name a few). Reviewing this type of unstructured data to find, extract and manually enter the information into a system of record is also incredibly tedious. For example, an insurance claim for a car accident might involve dozens of documents that require handwriting recognition, from doctors’ notes to damage reports.

Once such documents are scanned, Automation Hero’s handwriting recognition works like this: we use advanced, AI-powered OCR (optical character recognition) to pull out the requested information as the first part of an intelligent automation. Then it daisy chains with another AI model that imports the information into the relevant system.

Video Showcase

Converting Unstructured Data to Structured Data

In this use case, see how we developed an AI model that was trained on historical data to understand the layout of the documents, located text and extracted as image snippets and converted the image snippets into text.

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