--- updatedAt: 2026-10-12T07:08:32.000Z agentTools: projectIndex: https://docs.sumsub.com/llms.txt --- # Non-Doc Address Verification The most effective solution to global customer residency verification. Sumsub’s Non-Doc Address Verification solution enables businesses to verify customers’ residency details **without requiring physical or digital document uploads, leveraging verified records from a range of reliable data sources**. Our product flow is designed to deliver seamless end user address verification in two possible ways: * **Data Enrichment** — comprehensive information enrichment by verifying unique personal identifier(s) against authoritative government, banking, and credit sources. * **1x1/2x2 Matching** — matching identity and address information against one or two of the available sources in the country. The solution helps regulated organizations **meet their AML/CDD compliance requirements**, while simultaneously **boosting conversion rates up to 97%, reducing processing times to \~4.5 seconds**, and effortlessly **reaching over 4 billion applicants globally**. Overall, the Non-Doc Address Verification offers a reliable and compliant alternative to traditional, documentary customer data verification methods, all through an effortless end applicants experience. ![](https://files.readme.io/113afc12132f13390f64c0da2564c7a8b1c53484de46da8b3f57479af0537b83-Non-Doc_Address_Verification.png) # Use case Fast customer residency confirmation that ensures a seamless experience through a well-recognized user flow, while adhering to both national and international regulatory requirements. # How Non-Doc Address Verification works The verification process is typically completed in under 5 seconds, requiring minimal user action; it is simple and streamlined to enhance the customer journey that ensures a high level of identity proofing. ## Non-Doc Address Verification flow ### Data Enrichment Step-by-step user verification journey: 1. Applicant enters their unique personal identifier(s) on the application interface. 2. System instantly retrieves all personal data and ensures its rightful ownership. 3. Sumsub additionally cross-checks relevant user information to ensure a complete identity match. 4. The address verification is successfully completed. ### 1x1/2x2 Matching Step-by-step user verification journey: 1. Applicant enters their identity and address details on the application interface. 2. System checks the information against all available sources in the country. 3. Sumsub matches the data against one or two of the sources. 4. The address verification is successfully completed. # Solution benefits The Non-Doc Address Verification delivers the following advantages to your business: * **Coverage**. Reach verified records of over 4 billion customers globally with the use of a single solution. * **Compliance**. Ensure full compliance with the applicable AML/CDD guidelines for electronic customer identification. * **Improved Conversion Rates**. Increase your customer conversion and success rates with an effortless, document-free verification experience. * **Fraud Prevention**. Enhance onboarding security with advanced data verification and methodology. * **Seamless Integration**. Easily integrate the solution into your systems through Sumsub's flexible API and SDK frameworks. # Solution availability The following is a list of Sumsub's Database Products that enable the Non-Doc Address Verification solution globally: > AI-based geolocation data completion is now available for South Africa. Select South Africa from the dropdown to see how how inputs and outputs are handled. {`
Show all

Method

Input data

Output data

Source type

Coverage
ENRICHMENT

  • Personal identification number (Documento Nacional de Identidad - DNI)

  • Gender

  • Selfie

  • First name

  • Last name

  • Gender

  • Phone number

  • Email address

  • Date of birth

  • Address

  • Nationality

  • Taxpayer identification number

  • Taxpayer identification number type (CUIL/CUIT)

  • Selfie (Match/No Match)
Government
97%

  • Personal identification number (Documento Nacional de Identidad - DNI)

  • Date of birth

  • Issue Date

  • Expiry Date

  • Gender

  • First Name

  • Last Name

  • First Name

  • Last Name

  • DNI number

  • Date of birth

  • Issue Date (Match/No Match)

  • Expiry Date (Match/No Match)

  • Gender (Match/No Match)

  • Address

  • Taxpayer identification number

  • Taxpayer identification number type (CUIL/CUIT)
Government
97%

Method

Input data

Output data

Source type

Coverage
1x1 MATCHING

  • First name

  • Last name

  • City

  • Street

  • Postcode

  • Date of birth (Optional)

  • TIN (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Credit

  • Telco

  • Commercial

  • Consumer
97%
2x2 MATCHING

  • First name

  • Last name

  • City

  • Street

  • Postcode

  • Date of birth (Optional)

  • TIN (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Credit

  • Telco

  • Commercial

  • Consumer
97%

Method

Input data

Output data

Source type

Coverage
1x1 MATCHING

  • First name

  • Last name

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Date of birth (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Credit

  • Commercial

  • Consumer
70%
2x2 MATCHING

  • First name

  • Last name

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Date of birth (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Credit

  • Commercial

  • Consumer
70%

Method

Input data

Output data

Source type

Coverage
1x1 MATCHING

  • First name

  • Last name

  • Date of birth

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Credit

  • Telco

  • Commercial

  • Consumer
75%
2x2 MATCHING

  • First name

  • Last name

  • Date of birth

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Credit

  • Telco

  • Commercial

  • Consumer
75%

Method

Input data

Output data

Source type

Coverage
ENRICHMENT

  • Personal identification number (Cadastro de Pessoas Físicas - CPF)

  • Complete name

  • Date of birth

  • Gender

  • Address
Government
95%

  • Personal identification number (Cadastro de Pessoas Físicas - CPF)

  • Selfie

  • Complete name

  • Date of birth

  • CPF number status
    (Regular/Irregular/
    Voided/Suspended/
    Canceled/Deceased)

  • Gender

  • Address

  • Email address

  • Phone number

  • Selfie (Match/No Match)
Credit Bureau
85%

  • Personal identification number (Cadastro de Pessoas Físicas - CPF)

  • Selfie

  • Complete name

  • CPF number status
    (Regular/Irregular/
    Voided/Suspended/
    Canceled/Deceased)

  • Gender

  • Address

  • Email address

  • Phone number

  • Selfie (Match/No Match)

  • Identity document (Match/No Match)

  • Identity document copy

  • Identity document type

  • Identity document number

  • Identity document issue date

  • Identity document expiration date
Credit Bureau
80%
1x1 MATCHING

  • First name

  • Last name

  • TIN (Cadastro de Pessoas Físicas - CPF)

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Date of birth (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Credit

  • Telco

  • Commercial

  • Utility
97%
2x2 MATCHING

  • First name

  • Last name

  • TIN (Cadastro de Pessoas Físicas - CPF)

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Date of birth (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Credit

  • Telco

  • Commercial

  • Utility
97%

Method

Input data

Output data

Source type

Coverage
Credit file
Dual process

For more information
about Canada methods
for electronic identity
verification refer to
this article.

  • First name

  • Middle name (Optional)

  • Last name

  • Date of birth

  • Street

  • Building number

  • Apartment number (Optional)

  • City

  • Province

  • Postal code

  • Phone number (Optional)

  • Social insurance number (SIN) (Optional)

  • First name (Match/Partial Match/No Match)

  • Middle name (Match/Partial Match/No Match)

  • Last name (Match/Partial Match/No Match)

  • Date of birth (Match/No Match)

  • Street (Match/Partial Match/No Match)

  • Building number (Match/No Match)

  • Apartment number (Match/No Match)

  • City (Match/No Match)

  • Province (Match/No Match)

  • Postal code (Match/No Match)

  • Phone number (Match/No Match)

  • Social insurance number (Match/No Match)
Credit
80%
1x1 MATCHING

  • First name

  • Last name

  • City

  • Phone number

  • Street

  • Postcode

  • State

  • Date of birth (Optional)

  • SIN (Optional)

  • Building number (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Credit

  • Telco

  • Postal
92%
2x2 MATCHING

  • First name

  • Last name

  • City

  • Phone number

  • Street

  • Postcode

  • State

  • Date of birth (Optional)

  • SIN (Optional)

  • Building number (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Credit

  • Telco
92%

Method

Input data

Output data

Source type

Coverage
1x1 MATCHING

  • First name

  • Last name

  • Date of birth

  • TIN (Centrale Person Register - CPR)

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Consumer
90%
2x2 MATCHING

  • First name

  • Last name

  • Date of birth

  • TIN (Centrale Person Register - CPR)

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Consumer
90%

Method

Input data

Output data

Source type

Coverage
1x1 MATCHING

  • First name

  • Last name

  • Date of birth

  • TIN (Personal identity code - Henkilötunnus)

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Consumer

  • Proprietary
90%

Method

Input data

Output data

Source type

Coverage
1x1 MATCHING

  • First name

  • Last name

  • Date of birth

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Telco

  • Commercial

  • Consumer
90%
2x2 MATCHING

  • First name

  • Last name

  • Date of birth

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Telco

  • Commercial

  • Consumer
90%

Method

Input data

Output data

Source type

Coverage
ENRICHMENT

  • Identity document

  • 5-digit and/or 6-digit PIN

  • Birth name (if available)

  • First name

  • Last name

  • Date of birth

  • Place of birth

  • Document type

  • Nationality (if available)

  • Address

  • Valid until

  • Type

  • Service-specific ID
Government
90%
1x1 MATCHING

  • First name

  • Last name

  • Date of birth

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Credit

  • Telco

  • Commercial

  • Consumer
90%
2x2 MATCHING

  • First name

  • Last name

  • Date of birth

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Credit

  • Telco

  • Commercial

  • Consumer
90%

Method

Input data

Output data

Source type

Coverage
ENRICHMENT

  • Personal identification number (Aadhaar)

  • Phone number authentication (OTP)

  • Security PIN

  • Selfie

  • Complete name

  • Aadhaar number (Masked)

  • Date of birth

  • Gender

  • Address

  • Selfie

  • Selfie (Match/ No Match)
Government
95%

Method

Input data

Output data

Source type

Coverage
ENRICHMENT

  • Personal identification number (Nomor Induk Kependudukan - NIK)

  • Full name

  • Date of birth (optional)

  • Phone number

  • Email

  • Selfie

  • NIK number (Match/No Match)

  • Complete name (Match/No Match)

  • Date of birth

  • Gender

  • Address

  • Selfie (Match/No Match)
Government
95%

Method

Input data

Output data

Source type

Coverage
ENRICHMENT


Product covers only registered eResidents in Kazakhstan.

  • Personal identification number (Индивидуальный идентификационный номер - ИИН/IIN)

  • Selfie

  • First name

  • Middle name (Optional)

  • Last name

  • Date of birth

  • Gender

  • Country of birth

  • Place of birth (Optional)

  • IIN

  • Digital Identity Card:

    • Document number

    • Document expiry date

  • Underlying identity document:

    • Document type

    • Document number

    • Document issue date

    • Document expiry date

  • eResidency status (Active/Expired/Not found)

  • Address (Optional)

  • Email address

  • Phone number

  • Additional phone number(s) (Optional)

  • Selfie (Match/No Match)

  • Selfie (Match Score)
Government
15 000 residents

Method

Input data

Output data

Source type

Coverage
1x1 MATCHING

  • First name

  • Last name

  • Date of birth

  • City

  • Street

  • Postcode

  • TIN (Optional)

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Credit

  • Telco

  • Commercial

  • Utility
90%
2x2 MATCHING

  • First name

  • Last name

  • Date of birth

  • City

  • Street

  • Postcode

  • TIN (Optional)

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Credit

  • Telco

  • Commercial

  • Utility
90%

Method

Input data

Output data

Source type

Coverage
ENRICHMENT

  • Passport number

  • Selfie

  • Document type

  • Passport number

  • First name

  • Middle name (Optional)

  • Last name

  • Gender

  • Date of birth

  • Address

  • Document issue date

  • Selfie

  • Selfie (Match/No Match)
Government
95%
Selfie coverage around 70%

  • Passport number

Temporary downtime between 1 April 2026 to 20 May 2026.

  • Found/Not found

  • Passport number

  • First name

  • Last name

  • Middle name (Optional)

  • Gender

  • Date of birth

  • Address

  • Issue date
Government
95%

  • Identification number

  • Selfie

  • Document type

  • Identification number

  • First name

  • Last name

  • Middle name (Optional)

  • Gender

  • Serial number

  • Date of birth

  • Address

  • Nationality

  • Document issue date

  • Occupation (Optional)

  • Selfie

  • Selfie (Match/No Match)
Government
95%

  • Identification number

  • Found/Not found

  • Identification number

  • First name

  • Last name

  • Middle name (Optional)

  • Gender

  • Serial number

  • Date of birth

  • Address

  • Nationality

  • Issue date
Government
95%

Method

Input data

Output data

Source type

Coverage
ENRICHMENT

  • Voter code number (Clave de Elector)

  • Credential identification Key number (Número de Clave de Identificación de la Credencial - CIC)

  • Identification number (Código de Reconocimiento Óptico de Caracteres (OCR))

  • First name

  • Last name

  • Date of birth

  • Address
Aggregated

  • Government

  • Credit

  • Commercial
97%

  • Personal identification number (Clave Única de Registro de Población - CURP)

  • First name

  • Last name

  • Date of birth

  • Address (Optional)

  • Gender

  • CURP number status (Active/Inactive)

  • Registration status (BAP/BSU/BDM/BDP/BJD/AN/AH/RCC/RCN)
Aggregated

  • Government

  • Credit

  • Commercial
97%

Method

Input data

Output data

Source type

Coverage
ENRICHMENT

  • Complete name

  • Online banking credentials

  • Bank authentication

  • Bank name

  • Service-specific ID

  • First name initials

  • Last name

  • Address

  • Date of birth

  • Gender

  • Email

  • Phone number
Banking
80%
1x1 MATCHING

  • First name

  • Last name

  • Date of birth

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Credit

  • Telco

  • Commercial

  • Consumer
80%
2x2 MATCHING

  • First name

  • Last name

  • Date of birth

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Credit

  • Telco

  • Commercial

  • Consumer
80%

Method

Input data

Output data

Source type

Coverage
1x1 MATCHING

  • First name

  • Last name

  • Date of birth

  • City

  • Street

  • Postcode

  • TIN (Optional)

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Credit

  • Commercial
70%

Method

Input data

Output data

Source type

Coverage
ENRICHMENT

  • Bank verification number (BVN)

  • Selfie

  • Found/Not found

  • Country

  • First name

  • Middle name (Optional)

  • Last name

  • Gender

  • Phone number

  • Date of birth

  • Address

  • Nationality (Optional)

  • Selfie

  • Selfie (Match/No Match)
Government
92%

  • National identification number (NIN)

  • Selfie

  • Country

  • Found/Not found

  • First name

  • Middle name (Optional)

  • Last name

  • Gender

  • Phone number

  • Email (Optional)

  • Date of birth

  • Address

  • State of birth

  • Occupation (Optional)

  • Country of birth

  • NIN slip copy

  • Selfie

  • Selfie (Match/No Match)
Government
96%

  • National identification number (NIN)

  • Selfie

  • Country

  • Found/Not found

  • First name

  • Middle name (Optional)

  • Last name

  • Gender

  • Phone number

  • Date of birth

  • Address

  • Selfie

  • Selfie (Match/No Match)

  • Nationality
Government
96%

  • National identification number (NIN)

  • Status (Valid/Invalid)

  • First name

  • Middle name (Optional)

  • Last name

  • Gender

  • Phone number

  • Date of birth

  • Address

  • Nationality
Government
96%

  • Phone number

  • Selfie or OTP

  • National identification number (NIN)

  • First name

  • Last name

  • Gender

  • Date of birth

  • Address

  • Selfie

  • Selfie (Match/No Match)

  • Phone number
Government
96%

Method

Input data

Output data

Source type

Coverage
1x1 MATCHING

  • First name

  • Last name

  • Date of birth

  • TIN (National Identity Number/D-number)

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Telco

  • Commercial

  • Consumer
80%
2x2 MATCHING

  • First name

  • Last name

  • Date of birth

  • TIN (National Identity Number/D-number)

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Telco

  • Commercial

  • Consumer
80%

Method

Input data

Output data

Source type

Coverage
ENRICHMENT

  • National ID card number (Documento Nacional de Identidad - DNI)

  • Complete name

  • Date of birth

  • Gender

  • Address
Government
96%

  • National ID card number (Documento Nacional de Identidad - DNI)

  • Complete name

  • Tax identification number (Registro Único del Contribuyente - RUC)

  • Taxpayer type

  • Taxpayer status

  • Tax condition

  • Economic activity
Government
96%

Method

Input data

Output data

Source type

Coverage
1x1 MATCHING

  • First name

  • Last name

  • TIN (PESEL)

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Date of birth (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Credit

  • Commercial
95%
2x2 MATCHING

  • First name

  • Last name

  • TIN (PESEL)

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Date of birth (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Credit

  • Commercial
95%

Method

Input data

Output data

Source type

Coverage
1x1 MATCHING

  • First name

  • Last name

  • Date of birth

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Commercial

  • Consumer
70%

Method

Input data

Output data

Source type

Coverage
ENRICHMENT

  • South African ID number (SAID)

  • SAID number (Match/No Match)

  • Country

  • SAID number

  • Document type

  • First name

  • Last name

  • Gender

  • Phone number (Optional)

  • Email (Optional)

  • Date of birth

  • Address

  • Address (Found/Not found)
Credit
67%

Sumsub now covers complex, emerging markets with an AI-based engine that fills in missing geolocation data. When verifying applicants from South Africa, the system extracts missing fields (City, Province, Postal code) from unstructured source data.

Non-Doc Verification for South Africa

Method

Input data

Output data

Source type

Coverage
1x1 MATCHING

  • First name

  • Last name

  • Date of birth

  • City

  • Street

  • Postcode

  • TIN (Optional)

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Telco

  • Commercial
90%
2x2 MATCHING

  • First name

  • Last name

  • Date of birth

  • City

  • Street

  • Postcode

  • TIN (Optional)

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Telco

  • Commercial
90%

Method

Input data

Output data

Source type

Coverage
1x1 MATCHING

  • First name

  • Last name

  • Date of birth

  • TIN (Personnummer)

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Consumer
90%
2x2 MATCHING

  • First name

  • Last name

  • Date of birth

  • TIN (Personnummer)

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Consumer
90%

Method

Input data

Output data

Source type

Coverage
1x1 MATCHING

  • First name

  • Last name

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Date of birth (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Credit

  • Telco

  • Commercial

  • Consumer
90%
2x2 MATCHING

  • First name

  • Last name

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Date of birth (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Credit

  • Telco

  • Commercial

  • Consumer
90%

Method

Input data

Output data

Source type

Coverage
ENRICHMENT

  • Online banking credentials

  • Bank authentication

  • Complete name

  • Date of birth

  • Address

  • Phone number (Optional)

  • Email (Optional)

  • Source type

  • Source name
Banking
97%
1x1 MATCHING

  • First name

  • Last name

  • Date of birth

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Building number (Optional)

  • Flat number (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Credit

  • Telco

  • Postal
90%
2x2 MATCHING

  • First name

  • Last name

  • Date of birth

  • City

  • Street

  • Postcode

  • Phone number (Optional)

  • Building number (Optional)

  • Flat number (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Government

  • Credit

  • Telco

  • Postal
90%

Method

Input data

Output data

Source type

Coverage
ENRICHMENT

  • First name

  • Last name

  • Social Security Number (SSN)

  • Date of birth

  • First name

  • Middle name

  • Last name

  • Phone number

  • Email address

  • Date of birth

  • Address

  • Address history

  • Associated email addresses (Optional)

  • Person is deceased (Yes/No)
Aggregated

  • Banking

  • Credit

  • Government

  • Postal

  • Telco

  • Utility
92%

  • Social security number (Complete or last 4 digits) - (Recommended)

  • Phone number

  • Date of Birth (Optional)

  • Phone number authentication (OTP) - (Optional)

  • First name

  • Middle name (Optional)

  • Last name

  • Email address

  • Phone number

  • Date of birth

  • Address

  • Address history

  • Associated email addresses (Optional)

  • Name aliases (Optional)

  • SSN

  • Person is deceased (Yes/No)

  • SMS OTP (Optional)
Aggregated
  • Banking
  • Commercial
  • Court
  • Credit
  • Government
  • Postal
  • Telco
  • Utility
92%
  • First name
  • Last name
  • Social security Number (SSN)
  • Date of birth
  • First name
  • Middle name
  • Last name
  • Email address
  • Phone number
  • Date of birth
  • Address
  • Address history
  • Associated phone numbers (Optional)
  • Name aliases (Optional)
  • SSN
  • Person is deceased (Yes/No) (Optional)
Aggregated
  • Banking
  • Commercial
  • Court
  • Credit
  • Government
  • Postal
  • Telco
  • Utility
96%
1x1 MATCHING

  • First name

  • Last name

  • Date of birth

  • City

  • Street

  • Postcode

  • TIN (Optional)

  • Phone number (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Telco

  • Postal

  • Commercial

  • Proprietary
95%
2x2 MATCHING

  • First name

  • Last name

  • Phone number

  • Date of birth

  • City

  • Street

  • Postcode

  • TIN (Optional)

  • Building number (Optional)

  • State (Optional)

  • User identity (Full Match/Partial Match/No Match)

  • Data categories (Full Match/Partial Match/No Match)

  • Data attributes (Full Match/No Match/No Data)
Aggregated

  • Telco

  • Postal

  • Commercial

  • Proprietary
95%
`} ### Tip Within **1x1/2x2 Matching**, the **Building number** field is optional, as it can be provided either separately or together with the street name in the **Street** field. ### Note Sumsub currently supports two data verification methods: **Enrichment** and **1x1/2x2 Matching**. You can customize these on the go based on the country, population coverage, and regulatory requirements. - To get started with **Enrichment**, reach out to your Customer Success Manager or Support team. - To get started with **1x1/2x2 Matching**, follow the instructions provided in [this article](https://docs.sumsub.com/sumsub/docs/get-started-address-verification). Read more about the decision-making logic behind these methods [in this article](https://docs.sumsub.com/sumsub/docs/matching-configurations). # Get started with Non-Doc Address Verification {`
Verify addresses without documents
Start using Non-Document Address Verification today.
Handle verification results
Monitor verification results to enable automatic responses in your integration.
Verification methodology
1x1
2x2
Discover how 1x1/2x2 Matching rules ensure data accuracy in the Non-Doc Address Verification solution.
Ensure business compliance using Non-Doc Address Verification
Explore the regulatory compliance assessment of our Non-Doc Address Verification solution conducted for over 35 markets.
`} # Explore alternative methods for Address Verification {`
PoA through geolocation
Learn how to leverage geolocation technology for quick and accurate address validation.
PoA through document submission
Learn how to implement the document-based approach for PoA verification by requiring users to submit official documents to confirm their residential address.
`} {` `}