Approve loans in minutes, not days.
Nepal has 52 licensed microfinance institutions. Every one of them reviews bank statements by hand — 45 to 90 minutes per application. Swippee is the API call between upload and decision.
The current workflow is slow because the data starts as a PDF.
A loan officer opens a 6-month PDF, reads every transaction, identifies salary credits, calculates the EMI burden, and computes monthly net income — all in a spreadsheet, sometimes on paper. Then it goes to a credit committee that doesn't trust the math.
How it works
- 1
Applicant uploads 6 months of bank statements
Through your existing loan-app form or via the embedded Swippee Connect widget.
- 2
Server calls POST /v1/parse for each
One billable unit per statement. Returns a report_id.
- 3
Server fetches the products it needs
/asset-report for the full picture, /score for the decision aid, /verify to flag fakes. All free reads against the parsed job.
- 4
Loan officer reviews structured data, not PDFs
Income, EMI load, balance trend, monthly summary, score band, forgery checks — all on one screen.
Products in this workflow
“We went from reviewing one application per loan officer per hour to reviewing one per officer per minute. The credit committee actually trusts the numbers now.”
Operations lead, Example MFI