The Coordinate Lookup API is an indispensable and sophisticated tool, capable of translating geographic coordinates - such as latitude and longitude - into easily understandable addresses. In an era where location-based services permeate numerous applications and platforms, this API plays a critical role in enhancing the user experience and enabling various functionalities.
Fundamentally, the Coordinate Lookup API works in reverse to traditional geocoding. While geocoding converts addresses into geographic coordinates, reverse geocoding decodes the coordinates into the corresponding address details. This functionality is crucial for applications covering mapping, navigation, location-based search and various location-aware functions.
One of the strengths of the Coordinate Lookup API is its ability to provide accurate and comprehensive address information. Leveraging extensive geospatial databases and advanced algorithms, the API ensures that reverse geocoding results are not only accurate, but also incorporate rich details such as street names, city or region identifiers, and zip codes. This granularity is indispensable in applications where accurate location data is of paramount importance.
In addition, the Coordinate Lookup API prioritizes speed and efficiency. The process of translating coordinates into addresses is fine-tuned to deliver fast results, improving the user experience in applications that rely on real-time or near-real-time location data. Whether used for navigation, location-based alerts or geotagging functions, the API ensures agile and seamless performance.
In short, the Coordinate Lookup API is emerging as a critical element in the location-based services landscape. Its ability to convert coordinates into human-readable addresses, along with attributes such as accuracy, versatility, speed and security, make it an indispensable asset for users. Whether it is used to enhance mapping applications, streamline logistics or provide location-based functionality, the API contributes to the creation of seamless, efficient and user-friendly experiences across a range of digital platforms.
It will receive parameters and provide you with a JSON.
Navigation Systems: Enhance GPS navigation systems by displaying human-readable addresses based on current coordinates.
Location-Based Services: Power location-based services, such as local search, by converting coordinates into understandable addresses.
E-Commerce Delivery: Streamline e-commerce delivery processes by obtaining accurate addresses from customer coordinates for efficient logistics.
Emergency Services: Aid emergency services in quickly identifying and reaching locations based on coordinates received from distress calls.
Geotagging in Social Media: Improve user experiences in social media platforms by attaching detailed addresses to geotagged posts.
Besides the number of API calls per month, there are no other limitations.
To use this endpoint you must indicate a latitude and longitude in the parameters.
Calculate distance - Endpoint Features
| Object | Description |
|---|---|
lon |
[Required] |
lat |
[Required] |
{"type":"FeatureCollection","features":[{"type":"Feature","geometry":{"type":"Point","coordinates":[19.908399,-80.508219]},"properties":{"country_code":"aq","name":"Antarctica","country":"Antarctica","datasource":{"sourcename":"whosonfirst","attribution":"Who's On First","license":"CC0","url":"https://www.whosonfirst.org/docs/licenses/"},"lon":19.908399,"lat":-80.508219,"distance":559112.2246212653,"result_type":"country","formatted":"Antarctica","address_line1":"Antarctica","address_line2":"","timezone":{"name":"Antarctica/Troll","offset_STD":"+00:00","offset_STD_seconds":0,"offset_DST":"+02:00","offset_DST_seconds":7200},"plus_code":"2FFXFWR5+P9","rank":{"popularity":0.09816269854899543},"place_id":"5117b83cd68ce83340592c0dfca8862054c0c0020b92030a416e7461726374696361e2031c77686f736f6e66697273743a636f756e7472793a3835363332373135"},"bbox":[-180,-90,180,-60.516209]}],"query":{"lat":-77.036547,"lon":38.897675,"plus_code":"2GJWXV7X+93"}}
curl --location --request GET 'https://zylalabs.com/api/3943/coordinate+lookup+api/4686/calculate+distance?lon=38.897675&lat=-77.036547' --header 'Authorization: Bearer YOUR_API_KEY'
To use this endpoint, you must specify an address in the parameters.
Detailed Address - Endpoint Features
| Object | Description |
|---|---|
address |
[Required] |
{"type":"FeatureCollection","features":[{"type":"Feature","geometry":{"type":"Point","coordinates":[-77.036547,38.897675]},"properties":{"country_code":"us","housenumber":"1600","street":"Pennsylvania Avenue NW","country":"United States","county":"District of Columbia","datasource":{"sourcename":"openaddresses","attribution":"© OpenAddresses contributors","license":"BSD-3-Clause License"},"postcode":"20500","state":"District of Columbia","city":"Washington","suburb":"White House Grounds","state_code":"DC","lon":-77.036547,"lat":38.897675,"result_type":"building","formatted":"1600 Pennsylvania Avenue NW, Washington, DC 20500, United States of America","address_line1":"1600 Pennsylvania Avenue NW","address_line2":"Washington, DC 20500, United States of America","timezone":{"name":"America/New_York","offset_STD":"-05:00","offset_STD_seconds":-18000,"offset_DST":"-04:00","offset_DST_seconds":-14400,"abbreviation_STD":"EST","abbreviation_DST":"EDT"},"plus_code":"87C4VXX7+39","rank":{"popularity":8.615793062435909,"confidence":0.7,"confidence_city_level":1,"confidence_street_level":0.7,"match_type":"full_match"},"place_id":"5115713ac9564253c059e9b7af03e7724340c00203e203496f70656e6164647265737365733a616464726573733a75732f64632f7374617465776964652d6164647265737365732d636974792e6373763a61613533643462643066653239356265"}},{"type":"Feature","geometry":{"type":"Point","coordinates":[-76.981976,38.879213]},"properties":{"country_code":"us","housenumber":"1600","street":"Pennsylvania Avenue SE","country":"United States","county":"District of Columbia","datasource":{"sourcename":"openaddresses","attribution":"© OpenAddresses contributors","license":"BSD-3-Clause License"},"postcode":"20003","state":"District of Columbia","city":"Washington","suburb":"Barney Circle","state_code":"DC","lon":-76.981976,"lat":38.879213,"result_type":"building","formatted":"1600 Pennsylvania Avenue SE, Washington, DC 20003, United States of America","address_line1":"1600 Pennsylvania Avenue SE","address_line2":"Washington, DC 20003, United States of America","timezone":{"name":"America/New_York","offset_STD":"-05:00","offset_STD_seconds":-18000,"offset_DST":"-04:00","offset_DST_seconds":-14400,"abbreviation_STD":"EST","abbreviation_DST":"EDT"},"plus_code":"87C5V2H9+M6","rank":{"popularity":6.391268404135374,"confidence":0.7,"confidence_city_level":1,"confidence_street_level":0.7,"match_type":"full_match"},"place_id":"513e5dddb1d83e53c059e99b340d8a704340c00203e203496f70656e6164647265737365733a616464726573733a75732f64632f7374617465776964652d6164647265737365732d636974792e6373763a36396530353933646261343435366566"}},{"type":"Feature","geometry":{"type":"Point","coordinates":[-77.0280696,38.8951025]},"properties":{"country_code":"us","housenumber":"1600","street":"Pennsylvania Avenue Northwest","country":"United States","county":"District of Columbia","datasource":{"sourcename":"mixed"},"state":"District of Columbia","city":"Washington","suburb":"National Mall","state_code":"DC","lon":-77.0280696,"lat":38.8951025,"result_type":"building","postcode":"20004","formatted":"1600 Pennsylvania Avenue Northwest, Washington, DC 20004, United States of America","address_line1":"1600 Pennsylvania Avenue Northwest","address_line2":"Washington, DC 20004, United States of America","timezone":{"name":"America/New_York","offset_STD":"-05:00","offset_STD_seconds":-18000,"offset_DST":"-04:00","offset_DST_seconds":-14400,"abbreviation_STD":"EST","abbreviation_DST":"EDT"},"plus_code":"87C4VXWC+2Q","rank":{"popularity":8.06250055951683,"confidence":0.7,"confidence_city_level":1,"confidence_street_level":0.7,"match_type":"full_match"},"place_id":"51c1806fe4cb4153c059af08feb792724340c00203e2031f6d697865643a616464726573733a706f6c796c696e653a3239373135363130"}},{"type":"Feature","geometry":{"type":"Point","coordinates":[-76.9820211,38.8787989]},"properties":{"country_code":"us","housenumber":"1600","street":"Pennsylvania Avenue Southeast","country":"United States","county":"District of Columbia","datasource":{"sourcename":"mixed"},"state":"District of Columbia","city":"Washington","suburb":"The Capitol Grounds","state_code":"DC","lon":-76.9820211,"lat":38.8787989,"result_type":"building","postcode":"20003","formatted":"1600 Pennsylvania Avenue Southeast, Washington, DC 20003, United States of America","address_line1":"1600 Pennsylvania Avenue Southeast","address_line2":"Washington, DC 20003, United States of America","timezone":{"name":"America/New_York","offset_STD":"-05:00","offset_STD_seconds":-18000,"offset_DST":"-04:00","offset_DST_seconds":-14400,"abbreviation_STD":"EST","abbreviation_DST":"EDT"},"plus_code":"87C5V2H9+G5","rank":{"popularity":6.391268404135374,"confidence":0.7,"confidence_city_level":1,"confidence_street_level":0.7,"match_type":"full_match"},"place_id":"51d81e076fd93e53c05961a17b7b7c704340c00203e2031f6d697865643a616464726573733a706f6c796c696e653a3332323138303931"}},{"type":"Feature","properties":{"datasource":{"sourcename":"openstreetmap","attribution":"© OpenStreetMap contributors","license":"Open Database License","url":"https://www.openstreetmap.org/copyright"},"name":"Pennsylvania Avenue","country":"United States","country_code":"us","state":"District of Columbia","city":"Washington","postcode":"20045","district":"Ward 2","street":"Pennsylvania Avenue","lon":-77.0307713,"lat":38.895865,"state_code":"DC","result_type":"street","formatted":"Pennsylvania Avenue, Washington, DC 20045, United States of America","address_line1":"Pennsylvania Avenue","address_line2":"Washington, DC 20045, United States of America","timezone":{"name":"America/New_York","offset_STD":"-05:00","offset_STD_seconds":-18000,"offset_DST":"-04:00","offset_DST_seconds":-14400,"abbreviation_STD":"EST","abbreviation_DST":"EDT"},"plus_code":"87C4VXW9+8M","rank":{"importance":0.37500999999999995,"popularity":8.485326670419871,"confidence":0.5,"confidence_city_level":1,"confidence_street_level":1,"match_type":"match_by_street"},"place_id":"51f2c92f28f84153c059c6504eb4ab724340f00102f901e62cac2100000000c0020492031350656e6e73796c76616e6961204176656e7565"},"geometry":{"type":"Point","coordinates":[-77.0307713,38.895865]},"bbox":[-77.0308089,38.8958545,-77.0307313,38.8958753]}],"query":{"text":"1600 Pennsylvania Ave Washington DC","parsed":{"housenumber":"1600","street":"pennsylvania ave","city":"washington","state":"dc","expected_type":"building"}}}
curl --location --request GET 'https://zylalabs.com/api/3943/coordinate+lookup+api/4687/detailed+address?address=1600 Pennsylvania Ave Washington DC' --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.
To use this API the user must indicate a latitude and longitude to obtain location information.
The Coordinate Lookup API is a powerful tool designed to convert geographic coordinates, such as latitude and longitude, into human-readable addresses, providing detailed location information for a wide range of applications.
Zyla provides a wide range of integration methods for almost all programming languages. You can use these codes to integrate with your project as you need.
There are different plans suits everyone including a free trial for small amount of requests, but it’s rate is limit to prevent abuse of the service.
The "Calculate distance" endpoint returns geographic coordinates, country information, and formatted addresses. The "Detailed Address" endpoint provides comprehensive address details, including house number, street, city, state, and postal code.
Key fields include "formatted" for the complete address, "lat" and "lon" for coordinates, "country_code" for the country, and "result_type" indicating the type of location (e.g., building, country).
The response is structured as a JSON object containing a "FeatureCollection" with "features" array. Each feature includes "geometry" for coordinates and "properties" for detailed address information.
The "Calculate distance" endpoint requires latitude and longitude as parameters. The "Detailed Address" endpoint requires a specific address to retrieve detailed location information.
The "Calculate distance" endpoint provides country and distance details, while the "Detailed Address" endpoint offers complete address components, including street names, city, state, and postal code.
Data accuracy is ensured through the use of extensive geospatial databases and advanced algorithms, along with regular updates from reliable sources like OpenAddresses and Who's On First.
Common use cases include enhancing GPS navigation, powering local search in apps, streamlining e-commerce deliveries, and improving geotagging in social media posts.
Users can extract specific fields like "formatted" for display purposes, use "lat" and "lon" for mapping, and leverage "result_type" to tailor functionalities based on the type of location returned.
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