GeoSpy API by Graylark

The GeoSpy API offers a RESTful API that enables users to predict geographical locations based on image content. The accuracy of these predictions is based on several factors including, image quality, image context, and lighting. The AI utilizes advanced machine learning models to analyze the characteristics of the image and predict potential geographical coordinates where an image may have been taken. GeoSpy 1.0 API performs best on photos taken outdoors or with some view of reigion specific factors such as skyline, vegitation, or architecture.

There are source code samples showing how to use this API are available on GitHub here. **To use this API:

  1. visit the pricing page from the top menu ,
  2. subscribe to any plan
  3. copy your API key and start using the API. For any support questions email us at support@graylark.io or dm us via Slack**
BASE URL
https://dev.geospy.ai

Authentication

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Image Geolocate Predict

ENDPOINTS

Predict

This is the base GeoSpy geolocation prediction endpoint. Given a base64 encoded string, GeoSpy will attempt to predict a list of possible locations where the image may have been taken. Once a set of predictions have been made, the following data will be returned:

geo_predictions: An array of objects, each containing: - coordinates: An array with two elements, latitude and longitude. - score: A float indicating the rank a GPS coordinate prediction has compared to the other predictions. Score values can vary greatly and are an indication of prediction quality relative to all predictions. - similarity_score_1km: A double that ranges between 1.0 and 0. This value indicates how similar the features of the input image are to the known characteristics within 1 kilometer of the GPS predicted point.

Protected by API Key

Headers

Authorization

required, string

The Authorization header is used to authenticate with the API using your API key. Value is of the format Bearer YOUR_KEY_HERE.

Request Body

image

required, string

Base64-encoded string of the image.

top_k

optional, integer

The number of top predictions to return. Default is 5 but you can request up to 50 GPS location predictions

POST
/predict
1
EXAMPLE BODY
{
  "top_k": 5,
  "image": "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"
}