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pixaven

v1.0.4

Published

Enterprise-grade image processing SaaS running entirely on Apple® platform. Resize, scale, crop, mask, filter and enhance your images with blazing speed.

Downloads

13

Readme

Pixaven



Documentation

See the Pixaven API docs.

Installation

$ npm install pixaven --save

Quick examples

Pixaven API enables you to provide your images for processing in two ways - by uploading them directly to the API (Image Upload) or by providing a publicly available image URL (Image Fetch).

You may also choose your preferred response method on a per-request basis. By default, the Pixaven API will return a JSON response with rich metadata pertaining to input and output images. Alternatively, you can use binary responses. When enabled, the API will respond with a full binary representation of the resulting (output) image. This Node module exposes two convenience methods for interacting with binary responses: .toFile() and .toBuffer().

Image upload

Here is a quick example of uploading a local file for processing. It calls .toJSON() at a final step and instructs the API to return a JSON response.

const Pixaven = require("pixaven");

// Pass your Pixaven API Key to the constructor
const pix = new Pixaven("your-api-key");

// Upload an image from disk, resize it to 100 x 75,
// automatically enhance, and adjust sharpness parameter
pix
    .upload("path/to/input.jpg")
    .resize({
        width: 100,
        height: 75
    })
    .auto({
        enhance: true
    })
    .adjust({
        unsharp: 10
    })
    .toJSON((err, meta) => {
        if (err) {
            return console.log(err);
        }

        // You'll find the full JSON metadata within the `meta` object
        if (meta.success) {
            console.log(meta.output.url);
        } else {
            console.log(meta.message);
        }
    });

Image fetch

If you already have your source visuals publicly available online, we recommend using Image Fetch by default. That way you only have to send a JSON payload containing image URL and processing steps. This method is also much faster than uploading a full binary representation of the image.

const Pixaven = require("pixaven");

// Pass your Pixaven API Key to the constructor
const pix = new Pixaven("your-api-key");

// Provide a publicly available image URL with `.fetch()` method,
// apply Gaussian blur using PNG as the output format.
// We'll also use `.toFile()` method and stream the output image to disk
pix
    .fetch("https://www.website.com/image.jpg")
    .filter({
        blur: {
            mode: "gaussian",
            value: 10
        }
    })
    .output({
        format: "png"
    })
    .toFile("path/to/output.png", (err, meta) => {
        if (err) {
            return console.log(err);
        }

        // You'll find the full JSON metadata within the `meta` object
        if (meta.success) {
            console.log(meta.output.url);
        } else {
            console.log(meta.message);
        }
    });

License

This software is distributed under the MIT License. See the LICENSE file for more information.