Dagpi

Photography

Image manipulation and processing

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📚 Documentation & Examples

Everything you need to integrate with Dagpi

🚀 Quick Start Examples

Dagpi Javascript Examplejavascript

// Dagpi API Example
const response = await fetch('https://dagpi.xyz', {
    method: 'GET',
    headers: {
        'Content-Type': 'application/json'
    }
});

const data = await response.json();
console.log(data);

The Image Manipulation and Processing API provided by Dagpi offers a powerful solution for developers seeking to enhance their applications with advanced image editing capabilities. With a robust set of features, this API enables users to manipulate images effortlessly through various operations such as resizing, cropping, filtering, and format conversion. Utilizing this API is straightforward and provides quick results, making it an ideal choice for developers aiming to integrate image processing functionalities into their websites and applications. The API is designed to handle high volumes of image processing requests, allowing for seamless scaling according to the needs of your project.

By incorporating Dagpi's Image Manipulation and Processing API, developers can enjoy a wealth of benefits, including:

Speedy Image Processing: Deliver results in real-time for a responsive user experience.
Wide Range of Features: Access diverse manipulation functions like cropping, rotating, and color adjustments.
Easy Integration: Simple API endpoints that are easy to implement within any programming environment.
Scalability: Handle a high load of image processing tasks efficiently, perfect for growing applications.
Cost-Effective: Reduce the need for extensive server resources with offloaded image processing tasks.

Here’s a JavaScript code example to call the Dagpi API for basic image manipulation:

const apiKey = 'YOUR_API_KEY';
const imageUrl = 'https://example.com/image.jpg';
const endpoint = `https://dagpi.xyz/v1/process?url=${encodeURIComponent(imageUrl)}&resize=300x300&apikey=${apiKey}`;

fetch(endpoint)
  .then(response => response.json())
  .then(data => {
    console.log('Processed Image URL:', data.url);
  })
  .catch(error => {
    console.error('Error:', error);
  });