```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.
```
The "analyze" endpoint is designed to process and evaluate input data, providing insights through various analytical methods such as statistical analysis, sentiment detection, or pattern recognition. Upon receiving structured or unstructured data (e.g., text, numerical datasets, or multimedia), this endpoint utilizes advanced algorithms to generate a comprehensive report that includes key metrics, trends, and recommendations based on the data provided. Potential use cases for the "analyze" endpoint include businesses seeking to understand customer feedback through sentiment analysis, researchers evaluating data trends for academic purposes, or developers integrating analytics into applications to enhance decision-making processes through data-driven insights.
analyze - Endpoint Features
| Object | Description |
|---|---|
Request Body |
[Required] File Binary |
{"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/11715/accurate+celebrity+look+alike+finder+api/22140/analyze' \
--header 'Content-Type: application/json' \
--form 'image=@"FILE_PATH"'
O endpoint "Obter Imagem" é projetado para recuperar imagens de um recurso ou coleção especificada com base em parâmetros fornecidos, como ID da imagem ou filtros de categoria. Este endpoint tem o propósito de fornecer aos usuários fácil acesso a imagens individuais ou conjuntos de imagens, o que pode ser útil para aplicações em bibliotecas de mídia, plataformas de e-commerce ou integrações com redes sociais. Após uma solicitação bem-sucedida, o endpoint retorna os dados da imagem em um formato estruturado, normalmente incluindo a URL da imagem, metadados (como dimensões, tipo de arquivo e descrição), além de mensagens de erro relevantes caso a imagem não seja encontrada ou a solicitação esteja malformada, tornando-se uma ferramenta essencial para desenvolvedores que necessitam exibir conteúdo visual dentro de suas aplicações.
Obter Imagem - Endpoint Features
| Object | Description |
|---|---|
image |
[Required] Bridget Regan/Image_2.jpg |
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...
curl --location --request GET 'https://zylalabs.com/api/11715/accurate+celebrity+look+alike+finder+api/22141/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 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," "gender," "matches" (with celebrity names and scores), and "skin_color." For the "Get Image" endpoint, key fields include "image URL," "dimensions," and "description."
The "analyze" endpoint accepts face image uploads for analysis. The "Get Image" endpoint allows parameters like image ID or category filters to retrieve specific images from the database.
The "analyze" endpoint organizes data into attributes and matches, providing a structured overview of facial features and celebrity matches. The "Get Image" endpoint returns image data in a structured format, including metadata and error messages if applicable.
The API utilizes a continually expanding database of celebrity photos, sourced from various public and licensed collections, ensuring a diverse range of celebrity images for accurate matching.
Data accuracy is maintained through advanced facial recognition technology and deep learning models, which are regularly updated to improve matching algorithms and ensure reliable results.
Typical use cases include fun selfie applications, social media engagement tools, AI-based photo analysis, and entertainment platforms where users can discover their celebrity look-alikes.
Users can leverage the returned data by integrating celebrity matches and confidence scores into applications, enhancing user engagement through interactive features, or using image data for visual content display.
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.
Service Level:
100%
Response Time:
20,003ms
Service Level:
100%
Response Time:
12,158ms
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:
20,003ms
Service Level:
100%
Response Time:
20,003ms
Service Level:
100%
Response Time:
20,002ms
Service Level:
100%
Response Time:
4,650ms
Service Level:
100%
Response Time:
415ms