```html
The Celebrity Look-Alike Finder API is designed to help you and your users discover which celebrity they most resemble. Utilizing advanced facial recognition technology and deep learning models, this API efficiently compares a face image against a continually expanding database of celebrity photos.
This API is not only fast but also exceptionally easy to use. It delivers accurate results by returning the name of the matched celebrity, their image, and a confidence score indicating the system's level of certainty in the match. You can leverage this API for a variety of applications, including fun selfie apps, innovative photo filters, engaging social media tools, or any scenario where users enjoy uncovering their famous look-alikes.
Key Features:
Ideal Use Cases:
This API is lightweight, quick to integrate, and provides users with an engaging experience. Whether you're developing for mobile or web platforms, the Celebrity Look-Alike Finder API seamlessly integrates into your project, ensuring an enjoyable and entertaining journey for all users.
```
{"attributes":{"eye_distance":62.654254089850554},"eye_color":"Brown","eye_shape":"Almond Eyes","face_shape":"Square","gender":"male","matches":[{"image":"Morgan Freeman/Image_1.jpg","name":"Morgan Freeman","score":0.8662779927253723},{"image":"Angelina Jolie/Image_2.jpg","name":"Angelina Jolie","score":0.41088879108428955},{"image":"Clancy Brown/profile.jpg","name":"Clancy Brown","score":0.19944775104522705},{"image":"Holly-Anne Hull/Image_2.jpg","name":"Holly-Anne Hull","score":0.1694488525390625},{"image":"Reba Monica John/Image_1.jpg","name":"Reba Monica John","score":0.16872718930244446}],"skin_color":"Dark"}
curl --location 'https://zylalabs.com/api/11716/fast+celebrity+look+alike+finder+api/22138/analyze' \
--header 'Content-Type: application/json' \
--form 'image=@"FILE_PATH"'
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...
curl --location --request GET 'https://zylalabs.com/api/11716/fast+celebrity+look+alike+finder+api/22139/obter+imagem?image=Bridget Regan/Image_2.jpg' --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 "analyze" endpoint returns detailed facial analysis data, including attributes like eye distance, eye color, and matched celebrity names with images and confidence scores. The "Get Image" endpoint returns image data, including the image URL, dimensions, file type, and metadata.
For the "analyze" endpoint, key fields include "eye_distance," "matches" (with celebrity names and scores), and "gender." The "Get Image" endpoint includes fields like "image URL," "dimensions," and "description."
The response from the "analyze" endpoint is structured as a JSON object with attributes and an array of matches. The "Get Image" endpoint returns a JSON object containing image data and metadata, making it easy to parse and utilize in applications.
The "analyze" endpoint accepts image files for analysis, while the "Get Image" endpoint can take parameters like image ID or category filters to retrieve specific images. Users can customize requests based on their needs.
Data accuracy is maintained through advanced facial recognition technology and continuous updates to the celebrity database. This ensures that the matches are relevant and reflect the latest available data.
Typical use cases include developing selfie apps, creating engaging social media features, and enhancing photo analysis tools. The API can also be used for entertainment purposes, such as meme generation and humorous applications.
Users can leverage the returned data by integrating celebrity matches into applications, displaying images alongside confidence scores, and using facial attributes for personalized user experiences or analytics.
Quality checks include regular updates to the celebrity database and validation of facial recognition algorithms to ensure high accuracy and reliability in matching, providing users with trustworthy results.
To obtain your API key, first sign in to your account and navigate to the API you want to use. From the API's Pricing section, choose a plan and complete the subscription process. Once subscribed, return to the API page and you will see your API Access Key displayed at the top of the documentation page. You can use this key to authenticate your requests.
You can’t switch APIs during the free trial. If you subscribe to a different API, your trial will end and the new subscription will start as a paid plan.
The free trial lasts for 7 days and allows you to make up to 50 API requests.
No, the free trial is available only once, so we recommend using it on the API that interests you the most. Most of our APIs offer a free trial, but some may not include this option.
Yes. If the API offers a free trial, you will see a "Free 7-Day Trial" option in its Pricing section. The trial lasts for 7 days and allows up to 50 API requests, enabling you to evaluate the API before subscribing to a paid plan.
Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.
You can monitor your API usage through the response headers included with every request:
x-zyla-api-calls-monthly-used: Shows the total number of API requests you have used during the current billing period.
x-zyla-api-calls-monthly-remaining: Shows the number of API requests you have remaining for the current billing period.
Yes, you can cancel your subscription at any time. Simply go to the Pricing section of the API you're subscribed to and click the "Unsubscribe" button.
Please note that upgrades, downgrades, and cancellations take effect immediately. Once your subscription is canceled, access to the service will end immediately, regardless of any remaining API calls in your quota.
Please have a look at our Refund Policy: https://zylalabs.com/terms#refund
Service Level:
100%
Response Time:
20,003ms
Service Level:
100%
Response Time:
20,003ms
Service Level:
100%
Response Time:
20,003ms
Service Level:
100%
Response Time:
20,002ms
Service Level:
100%
Response Time:
20,003ms
Service Level:
100%
Response Time:
20,002ms
Service Level:
100%
Response Time:
20,002ms
Service Level:
100%
Response Time:
12,158ms
Service Level:
100%
Response Time:
4,650ms
Service Level:
100%
Response Time:
415ms