Tag Archives: OCR for receipts

Using OCR Receipt Technology Will Add Significant Value to All Your Accountancy and Bookkeeping Practices

Using OCR Receipt Technology Will Add Significant Value to All Your Accountancy and Bookkeeping Practices

Whether you’ve diligently kept abreast of recent OCR developments or are a total greenhorn when it comes to optical character recognition, it’s fair to say that the technology has the power to revolutionise expense management. Long resigned to forecasted innovation – even a technology that our children may find integral to managing their finances – performing an OCR scan […]

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OCR for Receipts

OCR for Receipts

Recent capital investment in receipt capture apps has once again demonstrated how valued the technology is to global commercial enterprise. As we march ever closer to long-term remote working and wholesale adoption of cloud computing, it seems inevitable that OCR for receipts will become a feature of most every business operational model the world over. […]

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Tabscanner Achieves 96% Accuracy on Global Receipt Formats – Most accurate Receipt OCR

Tabscanner Achieves 96% Accuracy on Global Receipt Formats – Most accurate Receipt OCR

Update 2025: The figure is now up to ~98%! Receipt OCR Verification Testing Platform – Most accurate Receipt OCR in the World Back in early 2016 we began developing our receipt OCR technology. One of the first things we developed was our receipt testing platform (RTP). This enabled us to continually benchmark against various batches […]

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Artificial Intelligence Breakthrough In Receipt line Item Data Extraction

Artificial Intelligence Breakthrough In Receipt line Item Data Extraction

AI Receipt Data Extraction Since early 2016 Tabscanner has been working tirelessly to solve the myriad and virtually endless formats of POS paper receipts. AI receipt data extraction is a cutting edge technology with different approaches. Many OCR companies try to solve invoice data extraction through templates. Whilst this can work quite well with consistent […]

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