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    Name Match API for Cross-Document Identity Verification

    AI-powered name comparison trained on 100M+ Indian name records. Compare names across PAN, Aadhaar, bank, and GST records — get a match score (0–1) and category (Direct Match, Partial Match, No Match) for automated KYC decisions.

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    Starts at ₹0.60 per match · excl. GSTView Pricing

    Overview

    Name Match is an AI-powered name comparison API built for India's complex naming conventions. Trained on over 100 million Indian name records, it handles initials, abbreviations, phonetic and regional spelling variants, salutation patterns, and subset matching — returning a match score (0 to 1) and match category for automated decision-making.

    What Can You Verify With Name Match API?

    Key details returned across all Name Match API endpoints, ready to power your KYC and onboarding workflows.

    Score

    Numeric match score between 0 and 1. Thresholds: 1.0 = Direct Match; 0.85–0.99 = Good Partial Match; 0.60–0.84 = Moderate Partial Match; 0.34–0.59 = Poor Partial Match; 0.00–0.33 = No Match.

    Reason

    Human-readable explanation of the match result — effectively the match category label along with the AI model's rationale (e.g. initials expansion, phonetic match, subset match).

    Simplified API Preview

    Name Match API Flow – Sample Request and Response

    Send simple inputs. Get rich, verified data in seconds.

    AI-powered name comparison trained on 100M+ Indian name records — returns a match score (0–1) and match category for automated KYC decisions.

    REQUEST
    Name 1S K Mishra
    Name 2Satish Kumar Mishra
    RESPONSE
    200 OK
    Score0.92
    ReasonNames match with initials expanded

    Key Features

    Everything you need to integrate and scale

    Indian Name Intelligence

    Handles initials, middle names, abbreviations, and subset matching (e.g. Harsh Kishore → HKishore) with high accuracy.

    Phonetic & Regional Variants

    Understands phonetic similarities and regional spelling variations across Indian languages and naming conventions.

    Context-Aware Matching

    Considers name sequence, gender, regional norms, and salutation patterns (e.g. S/O, D/O) for accurate results.

    Score + Category Response

    Returns a 0–1 score with match categories: Direct Match (1.0), Good Partial (0.85–0.99), Moderate Partial (0.60–0.84), Poor Partial (0.34–0.59), No Match (0–0.33).

    Who Should Use This API?

    Lending and financial institutions
    Accounting and tax platforms
    Marketplace and e-commerce platforms
    Enterprises performing KYC/KYB

    Primary Use Cases

    Cross-document KYC name validation
    ITC fraud detection via GST-PAN-bank name checks
    Lending name match for fraud prevention
    Merchant onboarding name consistency checks
    Payout reconciliation
    Risk and fraud prevention

    How to Integrate

    Get started in minutes with our simple integration process

    1. 1

      Sign Up

      Create an account on Connect App and get your sandbox credentials.

    2. 2

      Submit KYC

      Complete your KYC verification process by submitting the required documents.

    3. 3

      Integrate API

      Use our comprehensive documentation to integrate the APIs.

    4. 4

      Test in Sandbox

      Test your integration thoroughly in our sandbox environment.

    5. 5

      Go Live

      Start matching names in production.

    Frequently Asked Questions

    How does the matching work?+

    Name Match uses AI trained on 100M+ Indian name records. It handles initials, phonetic variants, regional spellings, salutation patterns (S/O, D/O), subset matching, and name ordering variations.

    What is the score range?+

    The API returns a score from 0 to 1: Direct Match (1.0), Good Partial Match (0.85–0.99), Moderate Partial Match (0.60–0.84), Poor Partial Match (0.34–0.59), No Match (0–0.33). Set your own threshold based on risk tolerance.

    What examples of Indian name variations does it handle?+

    Initials (S K Mishra → Satish Kumar Mishra), subsets (Harsh Kishore → HKishore), salutations (Aditya Roy S/O Jatin), missing middle names, extra spaces, and phonetic/regional spelling variants.

    Can I use this for GST ITC fraud detection?+

    Yes. Cross-validating supplier PAN name, GST trade name, and bank account holder name catches fake invoice fraud that manual review misses.

    Can the API handle high volumes?+

    Yes. The API is designed to handle large-scale volumes reliably without performance degradation.

    How does API authentication work?+

    Every API call is secured with one-time-use tokens generated using asymmetric cryptography. After signing up, you will receive your developer-key and secret-key for both UAT and production environments, which you can use to generate tokens for authenticating your API requests.

    How are errors and failures reported?+

    Every response includes a status code and a human-readable message. Failed requests return specific error codes indicating the reason, so you can handle each case programmatically.

    Is there a sandbox environment for testing?+

    Yes. A full sandbox environment is available immediately on signup. You can test your integration end-to-end before going live — no commitment required.

    How is API usage billed?+

    Usage is billed per successful API call with no minimum commitment. Volume-based pricing tiers are available — contact our team for detailed rates.

    How do I get started?+

    Sign up on Connect App, submit the required documents, integrate the REST API using our sandbox environment, and go live.

    Get API Access

    Sign up now and start integrating in minutes. Our team will help you go live quickly.

    • Sandbox access in minutes
    • Dedicated integration support
    • Comprehensive documentation
    • Reliable, high-volume workflows

    Get Name Match API Access

    Get started in 10 minutes