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Standardize Organization Name API

Normalize inconsistent organization names into standardized, official versions using AI-powered matching technology.

API Overview

This API standardizes organization names into their official name standard using an advanced 'closest match' AI algorithm. It handles various input variations including abbreviations, alternate spellings, and multiple languages, converting them all to standardized English equivalents. Perfect for data cleansing, deduplication, and maintaining consistent organization records across your systems.

AI-Powered Matching

Advanced algorithm finds the closest official match for any organization name variation, handling abbreviations, typos, and alternate spellings.

Multi-Language Support

Standardizes organization names across multiple languages into English equivalents, enabling global data consistency.

Data Quality

Improve data quality, enable accurate deduplication, and ensure consistent organization names across all your business systems.

Sample Results (Input = 'B.O.A.')

Field Example Value Description
Standard Bank of America The standardized official organization name
Code Success API response status
Credits 587332 Remaining API credits

API Details

Endpoint

https://api.interzoid.com/getorgstandard

Request Format

https://api.interzoid.com/getorgstandard?license=[licensekey]&org=[organization name]

Sample Request

https://api.interzoid.com/getorgstandard?license=fh5hs7*****&org=b.o.a.

Sample Response

{ "Standard": "Bank of America", "Code": "Success", "Credits": "587332" }

cURL Example (with API key in header)

curl --header "x-api-key: fh5hs7*****" "https://api.interzoid.com/getorgstandard?org=b.o.a."

Additional Examples

Here are real-world examples demonstrating the API's ability to standardize various organization names, abbreviations, and multi-language variations:

Financial Institution Abbreviation

{ "Standard": "JPMorgan Chase and Company", "Code": "Success", "Credits": "587331" } // Input variations handled: // "JP Morgan", "J.P. Morgan", "jpmc", "Chase Bank"

Technology Company

{ "Standard": "International Business Machines Corporation", "Code": "Success", "Credits": "587330" } // Input variations handled: // "IBM", "I.B.M.", "ibm corp", "Int'l Business Machines"

Multi-Language Support Spanish → English

{ "Standard": "General Motors", "Code": "Success", "Credits": "587329" } // Input variations handled: // "GM", "General Motors Co", "GEN MOTORS", "Motores Generales"

Retail Corporation

{ "Standard": "Walmart Incorporated", "Code": "Success", "Credits": "587328" } // Input variations handled: // "WalMart", "Wal-Mart", "Wal Mart Stores", "walmart"

The API intelligently handles various organization name variations including abbreviations, punctuation variations, spacing differences, and alternate language names - all standardized to the official English organization name.

Before & After Comparison

See how the API transforms inconsistent organization names into standardized official names:

Before (Input) After (Standardized)
b.o.a. Bank of America
msft Microsoft Corporation
GENERAL ELEC General Electric Company
SF Schools San Francisco Unified School District
coca cola co The Coca-Cola Company
Mc Donalds McDonald's Corporation
Intl Bus Machines International Business Machines Corporation
U. of Wash Washington University
Fed Ex FedEx Corporation

Use Cases

Data Cleansing

Clean and standardize organization names in existing databases, CRM systems, and data warehouses to ensure consistency and accuracy across all records.

Deduplication

Identify and merge duplicate organization records by standardizing names before comparison, dramatically improving match rates and data quality.

Data Integration

Standardize organization names during data imports, migrations, and integrations to maintain consistency when combining data from multiple sources.

Analytics & Reporting

Improve reporting accuracy by ensuring organization names are consistent, enabling proper aggregation and analysis across business intelligence tools.

Additional Resources

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