Nanonets OCR + Evidence Integration

You're processing document images but your tracking reports only update when someone manually compiles extracted text, so the row counts you're reviewing are always hours behind — this integration means every new prediction feeds your analytics instantly and your data stays current.

You need to act fast on incoming customer documents, but delays in transcribing images mean you find out about submissions too late — automating both apps means extracted data triggers workflows instantly and your team stays ahead.

You answer to clients who want to see document processing progress in real time, but manual status updates leave them waiting — connecting these apps means every prediction updates your site notifications and keeps stakeholders informed.

The volume of scanned documents is too high for anyone to keep up by hand, leading to a backlog of unverified submissions — with this integration, every prediction automatically drives downstream tasks without human bottlenecks.

You own the follow-up step and depend on someone upstream to hand over extracted lead details from documents — automating both apps means contact records are created the moment Nanonets OCR finishes a prediction.

You need a reliable history of all processed document extractions and keep finding gaps in manual logs — this integration means every prediction is tracked accurately and your audit trail stays complete.