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Geokeo: Geocoding API Service

Geokeo helps software developers and businesses in sectors like logistics and fintech convert addresses to coordinates and vice versa. It is designed for teams needing location data enrichment.

At a glance

Best for
Software developers, Software companies, Logistics operations, Fintech developers
Pricing
Geokeo offers a free tier with 2,500 daily requests. Paid plans range from $30/month for 10,000 daily requests up to $750/month for 1,000,000 daily requests.
Key use cases
Fleet Tracking, Data Enrichment, IoT Device Reporting, Bulk Address Formatting
Integrations
Java, Python, PHP, C, C++
Visit GeokeoGeokeo software interface screenshot

Geokeo is a geocoding API service designed for software developers and businesses that need to integrate location-based data into their applications. The tool provides forward geocoding, which converts addresses to coordinates, and reverse geocoding, which converts coordinates back to addresses.

It is designed for use in sectors such as fleet tracking, IoT, and fintech. The service uses open-source data from sources like OpenStreetMap and GeoNames, and employs NLP and machine learning for spell correction to help improve the accuracy of search results.

Buyers should evaluate their expected daily request volume to determine the appropriate plan, as the service is structured by daily API call limits. Because it is an API-first tool, technical implementation is required to integrate it into a business workflow.

Key Features

  • Forward Geocoding

    Converts written addresses or place names into latitude and longitude coordinates.

  • Reverse Geocoding

    Converts latitude and longitude coordinates into a formatted physical address.

  • NLP Spell Correction

    Uses natural language processing and machine learning to correct spelling errors in queries.

  • Multi-Region Server Setup

    Deployed across multiple regions to help reduce latency and support a claimed 99.9% uptime.

  • Multi-Language Support

    Provides implementation options for Java, Python, PHP, C, C++, React, and Angular.

Use Cases

  • Fleet Tracking

    Supports address lookups to locate vehicles or destinations within a tracking system.

  • Data Enrichment

    Adds location coordinates to datasets for fintech or business analysis applications.

  • IoT Device Reporting

    Uses reverse geocoding to report the physical location of IoT devices based on coordinates.

  • Bulk Address Formatting

    Supports converting unformatted addresses into standardized formats with coordinates via database integration.

Best For

  • Software developers
  • Software companies
  • Logistics operations
  • Fintech developers

Integrations

  • Java
  • Python
  • PHP
  • C
  • C++
  • React
  • Angular
  • MySQL

Pricing

Geokeo offers a free tier with 2,500 daily requests. Paid plans range from $30/month for 10,000 daily requests up to $750/month for 1,000,000 daily requests.

FAQ

What is the difference between forward and reverse geocoding in Geokeo?

Forward geocoding converts a text address into latitude and longitude, while reverse geocoding converts coordinates back into a formatted address.

Is there a free version of Geokeo?

Yes, Geokeo provides a free plan that allows for 2,500 API requests daily.

Which programming languages does Geokeo support?

The API supports implementation in Java, Python, PHP, C, C++, React, and Angular.

How are the geocoding results improved?

Geokeo uses NLP and machine learning to provide spell correction and analyzes multiple open-source data sources to support coverage.

Source category: Software Development

Source subcategory: API Development

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Software Type

How AI is used

Geokeo is a geocoding API service for developers and businesses in sectors like logistics and fintech. It supports forward and reverse geocoding workflows using machine learning for spell correction. It requires API integration and a subscription based on daily request volume.

Pros & Cons

Pros

  • Response times below 100ms
  • Includes a free tier of 2,500 daily requests
  • Generous caching policy allows users to store results
  • Provides code samples for multiple programming languages

Cons

  • Requires technical development knowledge for integration
  • Does not describe advanced administrative controls or user permission management
  • Buyers should confirm if open-source data provides the required precision for their specific region