Instantly determine whether a PAN holder is salaried, a proprietor, or a director — from the PAN number alone. This helps lending teams tailor loan products and HR systems verify employment type without requesting additional documentation.

For Developers

• Returns employment status: Salaried, Proprietor, or Director

• Single-field input, single-field output — minimal integration effort

• Integrates into lending, HR, and verification workflows

Key Details

Input: PAN number

Output: Employment status classification

Category: KYC / Employment

Look up vehicle registration details using a customer's mobile number — without requiring the customer to provide their RC document. Useful for ride-sharing verification, insurance onboarding, and any workflow where vehicle ownership needs to be confirmed quickly.

For Developers

• Returns RC numbers linked to a given mobile number

• Provides transaction IDs and API status alongside RC data

• Covers Indian mobile numbers registered against vehicle records

Key Details

Input: Indian mobile number

Output: Associated RC numbers, transaction IDs, and API status

Category: KYC / Vehicle Verification

Deepvue is now available on Pabbly Connect, a no-code automation platform with 2,000+ app integrations. Your operations team can build automated verification workflows — triggered by events in your CRM, forms, or other tools — without developer involvement.

For Developers

• Step 1: Select a trigger from any Pabbly-supported app (CRM, form, webhook, etc.)

• Step 2: Add Deepvue as the action step

• Step 3: Authenticate with your Deepvue API credentials

• Step 4: Activate the workflow

• Supported: Bank account, driving license, GST, and PAN OCR verifications

Category: Integration

A dashboard interface for analyzing retail bank statements — upload a statement and get AI-categorized transactions, fraud signals, and financial insights without writing a line of code. Built for underwriters, analysts, and product teams evaluating borrower profiles.

For Developers

• AI-driven transaction categorization: income, expenses, EMIs

• Fraud detection signals surfaced in the UI

• Data visualization and filtering by time period or transaction type

• Upload a statement in the Bank Statement Analytics section to begin

Category: Dashboard / Financial Analysis

See also: Bank Statement Analyser API (April 9, 2025)

Every API call now shows the amount deducted and the closing balance in the dashboard. Finance and ops teams get full visibility into per-call costs, payment history, and recharge activity — no more surprises on wallet spend.

For Developers

• Per-call deduction amount and closing balance in the dashboard

• Payment method records and recharge history

• Filtering by date or transaction type

• Located under 'API Transaction Logs' — auto-enabled, no setup

Category: Dashboard / Billing

Generate detailed API usage reports for any date range — available in Excel or JSON at no additional cost. Useful for finance teams tracking spend, ops teams auditing consumption, and FinOps workflows managing cost allocation across teams.

For Developers

• Returns usage data for a specified date range

• Supports XLSX and JSON output formats

• Available at no additional cost — zero per-call charge

Key Details

Input: start_date, end_date

Output: Usage report in XLSX or JSON

Category: Utilities / Developer Tools

Version 2 now accepts PDF documents for face matching — in addition to image files. Combined with sub-second response times and improved error handling, this makes identity verification workflows faster and more flexible.

For Developers

• PDF format now accepted for document input alongside image files

• Improved response handling for edge cases and error states

• Sub-second response times for real-time verification flows

Migration Guide

See also: Passive Liveness Check API

Version 2 now includes the exit date for each employment record, providing a complete picture of job transitions. Backend improvements also mean fewer failures and more reliable results from EPFO sources.

For Developers

• date_of_exit field now included in employment history records

• Improved uptime via backend infrastructure changes

• Fewer EPFO source failures

• Dashboard supports individual lookups + bulk CSV/Excel uploads

Upload a bank statement and get categorized transaction data, cash flow metrics, and fraud signals in return. This automates the manual process of reviewing bank statements for loan underwriting, risk assessment, and financial planning — reducing processing time by up to 90%.

For Developers

• Parses PDF and CSV bank statements (XML support coming soon)

• Categorizes transactions: income, expenses, EMIs

• Generates FOIR analysis, EOD balance trends, ECS/NACH patterns, and investment activity

• Flags fraud indicators: overdrafts, suspicious transactions, unusual amounts

• Processing time: under 5 minutes per statement

Key Details

Input: Bank statement file (PDF or CSV)

Output: Structured JSON with categorized transactions, cash flow summary, and fraud indicators

Category: Financial Analysis / OCR

Version 2 accepts Aadhaar as an input alongside PAN for credit report pulls. This extends your credit check coverage to underbanked customers who may not have a PAN card — expanding your addressable market for lending and financial products.

For Developers

• Aadhaar now accepted as input in addition to PAN

• Single id_number field accepts either identifier — no structural changes

• Aadhaar-based lookups follow regulatory guidelines