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Showing posts with the label invoice ocr

Peeking into Graph Extraction using Infrrd’s IDC Platform

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Whether you’re presenting an annual report, comparing sales figures, or highlighting a trend, visual representations such as graphs or charts are a great help to understand data elements quickly. However, in today’s hyper-interactive world, it’s hard to understand why data still continues to be represented as colorful graphs. These data trapped visual representations that cause restrictions in harnessing the data or make better decisions. With an increase in document volumes and a growing number of layouts, graph extraction has become a complex process; its optimization is a struggle for many organizations. Manual data retyping is prone to up 90% error, is time-consuming, and is therefore not scalable. This grinding process also requires significant rework and is an area that could benefit from   AI-enabled automated platforms . Many enterprises already understood this and are ready to jump right into automated solutions, implement them into their business processes, and reap...

Why OCR fails? 5 Drawbacks and Limitations of Conventional OCR Engines

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OCR Engine While conventional  OCR engine  is considered as a mainstay platform and might seem like the end-all, be-all solution for capturing data. It can be frustrating at times when the data is misread or not even be read. Inputting a document into an OCR doesn’t mean that it will actually output something without a hitch- forcing knowledge workers to manually work. Originally published at  infrrd.ai