Tabscanner

About Tabscanner

As the world goes digital, the majority of expense documents are still trapped inside paper receipts and invoices.
Sadly, humans typing and inputting these documents is still, the most common form of expense data entry worldwide.
Semi automated solutions using ocr and document templating whilst somewhat better, still leave data engineers with a brutal amount of unstructured data to parse and classify.
Whether outsourced to data entry teams or handled in house, standard solutions are slow to develop and unscalable when parsing data out of random formats.
To add to the challenge, anomalies caused by badly captured images can make even advanced ocr unreliable and parsing clean data virtually impossible. Inefficient and expensive data entry tasks need to be tackled seriously as part of any scalable and reliable expense solution.
Enter ede, (expense data extraction) while many solutions focus on ocr using templating and text parsing to try and solve these never ending formats, we see