One thing I’ve noticed while working on document automation is that a lot of digital onboarding still involves surprisingly manual work. A driving licence is a good example. A user can upload a licence image within seconds, but someone or something still needs to read the information from that image and enter it into the application. That’s where OCR can make a difference. Instead of manually cop…
A small thing we noticed while working on document automation: Payment receipts are easy to read, but surprisingly difficult to process at scale. A receipt can arrive as a screenshot, scanned image, or PDF. The information is visible, but someone still has to manually read it and move the important details into another system. That might mean copying: Recipient or payee name UPI ID Amount and cur…
Bills are a routine part of business, but manually moving information from documents into software can slow down everyday workflows. We’re working on the Bill OCR API at AZAPI to make this process easier for developers. It can extract useful billing information such as bill numbers, dates, GST details, taxable values, CGST, SGST, IGST, and invoice amounts from supported documents. The idea is sim…
Passport information is often required during KYC, identity verification, onboarding, travel applications, and financial workflows. Manually entering these details from documents can take time and create unnecessary repetitive work. AZAPI Passport OCR API helps developers automate this process by extracting relevant information from passport documents and converting it into structured data that c…
