IDfy

India's full-stack identity verification platform — KYC, background checks, and fraud prevention APIs

KYC & Identity 4.4 / 5 Made in Mumbai Updated Feb 2026

Quick Verdict

IDfy is one of India's most comprehensive identity verification platforms — covering not just standard KYC (Aadhaar, PAN, face match) but a wider stack that includes background checks for employment verification, business verification for merchant onboarding, and fraud prevention signals. Founded in 2012 in Mumbai, it is one of the oldest players in India's identity space with deep enterprise relationships across BFSI, HR tech, and e-commerce. For Indian fintech and lending teams who need KYC plus fraud risk signals in a single vendor, IDfy's breadth is its core advantage. The trade-off is that IDfy's UI and developer experience is more enterprise-oriented — less self-serve than HyperVerge for teams wanting to start fast with a credit card and an API key.

API Breadth
4.8
Verification Accuracy
4.5
Enterprise Readiness
4.7
Self-serve / Dev UX
3.4
Background Checks
4.9

What is IDfy?

IDfy is an identity verification and trust platform founded in 2012 and headquartered in Mumbai. It provides APIs and no-code workflows for verifying identity documents, conducting background checks, onboarding businesses, and detecting fraud signals — serving over 600 enterprise clients across Indian banking, NBFCs, insurance, HR tech, gig economy platforms, and e-commerce.

IDfy's platform spans three distinct verticals that most KYC vendors do not cover together: individual KYC (Aadhaar, PAN, voter ID, driving licence verification with face match), background verification (employment history, criminal records, court checks, education credentials — the HR and lending use case), and business KYC (GST verification, MCA filings, director identification, UBO checks for merchant onboarding and B2B lending). This breadth makes IDfy particularly valuable for platforms that need to verify both individuals and businesses — lending marketplaces, gig platforms, trade finance, and insurance distribution networks.

For Indian product managers, IDfy's most important characteristic is its compliance depth. IDfy has navigated every major regulatory change in Indian KYC since 2012 — from Aadhaar eKYC to video KYC mandates to DPDP Act requirements. Their compliance team proactively updates APIs to reflect new RBI and SEBI guidelines, which means product teams spend less time tracking regulatory changes and more time building.

Key API Categories

Aadhaar OTP eKYC
PAN Verification
Face Match
Liveness Detection
Video KYC
Bank Account Verify
GST Verification
MCA / ROC Check
Criminal Record Check
Employment Verify
Education Verify
Court Record Check

Key Features

Individual KYC Suite

Full individual verification stack: Aadhaar eKYC via OTP and offline XML, PAN verification against ITD database, voter ID and driving licence OCR and verification, face match against Aadhaar photo or selfie, passive liveness detection to prevent spoofing, and video KYC for RBI-compliant full-KYC. For Indian fintech and NBFC teams, IDfy's individual KYC suite covers every document type needed for RBI V-CIP compliance in a single integration.

Business Verification

GST number verification with GSTIN database lookup, MCA company and director verification for registered entities, MSME registration verification, proprietorship verification using PAN + GST combination, and UBO (Ultimate Beneficial Owner) identification for AML compliance. For Indian B2B lending, insurance distribution, and marketplace platforms onboarding business partners, IDfy's business verification APIs handle the full regulatory requirement stack.

Background Verification

India's most comprehensive background check API suite: employment verification (confirm past employer, dates, designation), education verification (confirm degrees with issuing institutions), criminal background check, court record search across district and high courts, address verification (physical and digital), and credit bureau checks. Used by Indian gig platforms (Swiggy, Ola partner onboarding), HR tech, and lending platforms for borrower and agent verification.

Fraud Signals

IDfy's fraud intelligence layer — device fingerprinting, velocity checks across their network of 600+ clients, face fraud detection (checking if a face appears in multiple identities across the platform network), document fraud detection (detecting forged or manipulated documents), and bureau fraud flag integration. For Indian lending and insurance platforms, these signals reduce first-party fraud at onboarding — a major loss driver in Indian BNPL and personal loan products.

IDfy vs HyperVerge vs Signzy

FactorIDfyHyperVergeSignzy
Founded / maturity2012 — most mature20142015
Individual KYCComprehensiveComprehensiveComprehensive
Background checksBest — dedicated suiteLimitedLimited
Business / merchant KYCStrongGoodGood
Face match accuracyGoodBest — AI-firstGood
Self-serve onboardingSales-ledDeveloper-friendlySales-led
Pricing transparencyQuotedMore transparentQuoted
Best forEnterprise, BGV, business KYCFace-first KYC, fast integrationBanking-grade video KYC

Best For

  • Indian lending and NBFC teams needing individual KYC plus background verification in one vendor
  • Gig economy platforms (delivery, transport, services) onboarding partner agents with employment and criminal checks
  • B2B lending and trade finance teams needing business KYC with GST + MCA + director verification
  • Insurance distribution platforms verifying agent credentials and criminal backgrounds
  • Enterprise fintech teams that need a compliance-mature vendor with a documented regulatory track record

Pricing

Sandbox

Free

Full sandbox environment with test credentials for all IDfy APIs. No credit card required. Sufficient to build and validate your entire integration before going to production. IDfy's sandbox simulates success and failure scenarios for each API endpoint.

Enterprise

Custom

Annual contracts with committed volumes, SLA guarantees, dedicated support, custom integrations, and compliance documentation for regulatory audits. For Indian banks, NBFCs, and large platforms processing 10,000+ verifications per month where unit economics and SLA commitments matter.

Pros and Cons

Pros

  • Most comprehensive background check APIs in India
  • Business KYC — GST, MCA, director checks in one platform
  • 13+ years in Indian compliance — deep regulatory knowledge
  • Fraud network intelligence across 600+ enterprise clients
  • INR billing with GST invoices
  • Free sandbox with all API endpoints for development

Cons

  • Sales-led onboarding — not self-serve for production
  • Pricing not publicly listed — requires quote process
  • Developer documentation less polished than HyperVerge
  • Face match accuracy slightly behind HyperVerge's AI-first approach
  • UI dashboard more enterprise than startup-friendly

Getting Started with IDfy

  1. Map your regulatory requirements before choosing APIs — Before integrating IDfy, document what your product's regulatory requirement is: Are you an NBFC needing RBI-compliant KYC? A gig platform needing background checks for partner onboarding? A B2B lender needing business verification? IDfy covers all three but the API stack differs for each. Having a clear regulatory mapping avoids building the wrong integration. Your compliance team or CA should confirm which specific checks are mandatory for your business model and which are optional risk mitigation layers you choose to add.
  2. Use the sandbox to test failure scenarios, not just success flows — Every Indian product team tests the happy path in sandbox — user provides valid Aadhaar, OTP matches, face passes. Far fewer teams test failure scenarios: expired OTP, Aadhaar-PAN mismatch, liveness failure, document quality too low for OCR, bureau API timeout. IDfy's sandbox supports these failure simulation scenarios. Build and test your fallback flows — manual review queue, retry prompts, alternative document options — before production. In live Indian KYC flows, 15-25% of attempts encounter some form of failure; your product experience for those users determines whether they complete KYC at all.
  3. For background verification, set clear SLA expectations with users upfront — IDfy's identity verification APIs (Aadhaar, PAN, bank account) respond in seconds. Background verification (employment, education, criminal checks) takes hours to days depending on the check type — court records can take 3-7 days. When designing your onboarding flow for gig partners or agent onboarding that includes background checks, communicate this timeline upfront: "Background verification takes 2-3 business days. You will receive an email once complete." Do not design a flow that implies instant approval for a process that is not instant — the resulting support tickets and user confusion cost more than the design effort to set expectations correctly.
  4. Implement IDfy's fraud signals before launching credit or high-value products — IDfy's fraud intelligence layer — velocity checks, face fraud detection, document fraud signals — is often added as a phase-two integration after the core KYC flow is live. This sequencing is incorrect for Indian lending and insurance products where first-party fraud at onboarding is a primary risk. Integrate fraud signals in the same sprint as your core KYC APIs. A user who passes Aadhaar and PAN verification but whose face appears in 15 other IDfy customer databases in the last 30 days is a high fraud risk regardless of document validity. These signals are cheap API calls relative to the loan or insurance claim risk they help prevent.
  5. Request compliance documentation proactively for regulatory audits — When your product goes through an RBI inspection, SEBI review, or internal compliance audit, auditors will ask for documentation of your KYC vendor's certifications and compliance posture — ISO 27001, CERT-In empanelment, data localisation confirmations, and process documentation. Request this documentation from IDfy's compliance team before you need it, not during an audit. IDfy's 13-year history means this documentation exists and is well-organised; the delay is always in the requesting team not asking early enough. Add a quarterly calendar reminder to refresh this documentation package.
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