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Kat Manalac

Nanonets OCR - Intelligent text extraction using OCR and deep learning

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YC Female Founders Holiday Gift Guide 2017
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Transform unstructured, human-readable text into structured and validated data using OCR + Deep Learning to extract relevant information. Digitize everything from documents, PDFs to number plates and utility meters. Extract relevant info and key fields.

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Michael Kirk
Can Nanonets OCR handle line item extraction on invoices that: i. have sub-headers which need to have their child line items nestled beneath them? ii. sometimes there are no bouncing lines to the table or column separators. iii. tables shift between pages on longer invoices.
Prathamesh Juvatkar
Maker
@michaelmkirk We do handle i. and ii. with our deep learning model. For table shifts, there is custom logic to merge multiple pages. But for that, you need to submit whole invoice as pdf so we get all pages together.
darius vasefi
Sounds like a good product, have to see how the ML part actually contributes to quality. I have an active project needing this.. we’re taking proposals if you’re interested
Prathamesh Juvatkar
Maker
@dariusvasefi Interested for sure! Can you share email where we can talk in more detail about the proposal?
Surya Rasp
can we use for rotated text?
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