Instantly convert GPS coordinates into comprehensive location intelligence within milliseconds.
The Jeleo Location Geocoding API enables you to transform any latitude/longitude pair into structured and actionable location data. Benefit from ISO-compliant country and region codes, city names, and key economic indicators. This API is engineered for speed, accuracy, and reliability, making it an essential tool for developers and businesses alike.
- Obtain detailed Country, State, and Region information directly from GPS coordinates.
- Experience lightning-fast performance with sub-100ms response times.
- Utilize optimized polygon search algorithms for enhanced accuracy.
- Enjoy CDN-friendly responses to maximize cacheability and efficiency.
- Leverage a battle-tested infrastructure capable of handling millions of requests seamlessly.
- Achieve enterprise-grade accuracy with our state-of-the-art geocoding solutions.
- Benefit from smart snapping logic that compensates for GPS drift, especially near borders and coastlines.
- Access curated geospatial polygons based on Natural Earth datasets for enriched data quality.
- Personalization: Localize content, currencies, and compliance banners to enhance user engagement.
- Analytics: Build geo-cohorts and segment users effectively based on regional data.
- Security: Enhance fraud detection efforts using insightful economic indicators.
- Logistics: Validate shipping zones and optimize routing for improved delivery efficiency.
- Marketing: Strategically target campaigns by geography and demographics to increase conversion rates.
The "Reverse Geocoding" endpoint is designed to convert geographic coordinates (latitude and longitude) into human-readable location information, such as address details, city names, and country descriptions.
This endpoint serves a crucial purpose in applications that require location-based services, enabling developers to provide users with context for their geographic data - such as identifying nearby landmarks or converting GPS coordinates from a mobile device into an address for easy navigation.
The output includes structured information like country/state names, administrative areas, and location stats making it essential for use cases in travel and tourism applications, real estate platforms, and mapping services, as well as enhancing user experience in ride-hailing and food delivery services by providing precise location identification.
Reverse Geocoding - Endpoint Features
| Object | Description |
|---|---|
lat |
[Required] Latitude (e.g 53.239879) |
lng |
[Required] Longitude (e.g -115.216766) |
{"code3166":"CA-AB","country":"Canada","country_code_a2":"CA","economy_rank":"1","income_rank":"1","name":"Alberta","name_type":"Province"}
curl --location --request GET 'https://zylalabs.com/api/11865/location+geocoding+api/22546/reverse+geocoding?lat=53.239879&lng=-115.216766' --header 'Authorization: Bearer YOUR_API_KEY'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
The Reverse Geocoding endpoint returns human-readable location information derived from GPS coordinates. This includes details such as country names, state or province names, administrative areas, and location statistics.
Key fields in the response include "country," "country_code_a2," "name" (for the region or province), "code3166" (ISO code), "economy_rank," and "income_rank," providing insights into both location and economic status.
The response data is structured in JSON format, with key-value pairs representing various location attributes. For example, a response might include "country": "Canada" and "name": "Alberta," making it easy to parse and utilize programmatically.
The endpoint provides detailed geographic information, including country, state, region names, ISO codes, and economic indicators, allowing for comprehensive location analysis and insights.
Data accuracy is maintained through a combination of optimized algorithms, smart snapping logic to correct GPS drift, and curated geospatial polygons based on reliable datasets like Natural Earth, ensuring high-quality location data.
Typical use cases include enhancing user experiences in travel apps, optimizing logistics and delivery routes, personalizing content based on user location, and improving fraud detection through economic insights.
Users can customize their requests by specifying latitude and longitude parameters in the API call. This allows for targeted queries to retrieve location data relevant to specific geographic coordinates.
Standard data patterns include consistent key names across responses, such as "country" and "name," along with structured economic rankings. Users can expect responses to vary based on the geographic area queried, reflecting local attributes.
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