Banking and lending

KYC and loan file processing

Extract and validate identity, income and loan documents so credit and operations teams review structured data instead of loose scans.

Inputs

Documents in

  • KYC documents
  • Loan applications
  • Sanction letters
  • Loan agreements
  • Credit bureau reports
  • Bank statements
  • Income documents
  • NACH mandates
  • Udyam and MSME certificates
  • Valuation reports
Workflow

How it runs

  1. Intake

    Applicant files are uploaded or sent via API from the origination process, each tracked as a job.

  2. Text extraction and OCR

    Digital text is extracted and scanned identity and income documents are read with OCR.

  3. Classification and schema matching

    Each document is classified and matched to a schema in the India banking and lending pack. Unmatched documents are flagged.

  4. Field extraction

    Identity, income, account and loan fields are extracted with confidence values.

  5. Validation and review

    Uncertain fields and unmatched documents pause for an operations or credit reviewer to correct and approve.

  6. Output

    Structured results and summaries are delivered via API and webhooks.

Outputs

What you get

  • Structured KYC and loan file data with per-field confidence
  • Documents in a mixed upload sorted by type
  • Reviewer-confirmed values on identity and income fields
  • Searchable, auditable file history

Where review fits

Identity and income values are consequential, so teams typically keep a human step on those fields. Review actions are logged, supporting a customer’s internal audit needs.

Integration points

Droqify returns extracted data via API and webhooks to the loan origination or case system the lender already uses. It reads and structures documents; credit decisions and regulatory checks remain with the lender. The pack provides starting schemas that can be tuned to the lender’s forms.

See this workflow on your documents

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