Global Reference Data for
SAP Address Validation

Power your address validation in SAP with our standardized location data and expert consulting.

Standardized across countries

233 address formats mapped in a unified structure with consistent administrative levels.

Multi-language support

299 languages, including local languages, foreign names, English, and transliterations.

Global city definitions

Standardized city definitions and classifications for reliable address validation.

Try our data for Address Validation

Validate a US address against our reference ZIP code & address data

HOW DOES IT WORK

Global address validation with self-hosted data in 4 steps

Download the dataset, integrate it into SAP, and refresh it periodically.

Download

Access our verified and standardized ZIP code, city, and address data.

Integrate

Our team of experts will guide
your implementation within SAP.

Validate

Validate addresses with a reliable reference database of ZIP codes and addresses.

Refresh

Frequent updates will keep your data always up-to-date.

Ready to validate addresses at scale?

Our team of data experts is ready to support your
address validation efforts.

20-minute consultation

No commitment required

100+ successful integrations

Why choose on-premise address data?

GeoPostcodesThird-party API
PriceFIXED COSTPER QUERY
Control over security, speed and latencyFULLNO
CustomizationFULLLIMITED
AnalyticsFULLLIMITED
Connection to 3rd party requiredNOYES
Integration into your softwareFULLNO

Keep your address data clean and reliable

Clean addresses at input

GeoPostcodes’ global reference data helps companies capture accurate and standardized addresses at the point of entry. Ensure each new address follows official postal standards and regional formatting rules.

GeoPostcodes - address autocomplete

Validate addresses post-entry

GeoPostcodes’ validation dataset lets organizations verify and correct existing addresses. Each record is cross-checked with authoritative postal sources to fix errors and ensure global consistency.

Perform bulk address validation

Validate entire lists of addresses at once with GeoPostcodes reference data. Clean large datasets efficiently, correct errors in bulk, and ensure your records remain reliable and consistent.

Geocoding

Convert any address, street, ZIP code, city, or administrative area into latitude and longitude coordinates, and viceversa.

Why choose GeoPostcodes

Global coverage

Complete coverage across 247 countries, including hard-to-source geographies like China, Japan, Brazil, and Russia.

Highest quality

Built on extensive, authoritative sourcing with robust data engineering and quality control. Standardized and up-to-date.

Expert Consulting

With 15 years of experience, we guide your implementation and deliver data in the format that fits your system.

Trusted by industry leaders

Join more than 100 enterprise clients who trust GeoPostcodes for their location data

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“After years of failed attempts with other providers, we finally developed a tailored solution together with GeoPostcodes. The collaboration was excellent.”

GeoPostcodes - MIke Brady Mercury Gate

Mike Brady

Product Manager

“We replaced costly APIs and simplified our location data management thanks to GeoPostcodes. Life without it would be complicated.”

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Nick Beaugié

Software Engineer

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“With accurate and consistent master data, GeoPostcodes helps us resolve addresses across our platform and bridge data silos through enterprise knowledge graphing. It’s made a real difference.”

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Henry Bowers

Data Scientist

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“I can forget about postal data errors knowing GeoPostcodes runs smoothly in the background, freeing time to focus on other priorities. It’s a fundamental tool for our work.”
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William Chao

Product Owner

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“It’s reassuring to know our partner, GeoPostcodes, continuously tracks data changes and keeps our systems supplied with the most up-to-date information.”
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William Chao

Product Owner

“Using GeoPostcodes’ city data gave us standardized definitions across countries, aligned with customer expectations and saving significant computation time.”

Kousha Mazloumi

Director of Data Science

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