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pixaven
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Pixaven is a modern, GPU-powered image processing API.
We transform, enhance, adjust, crop, stylize, filter and watermark your images with blazing speed.
The official Node integration for the Pixaven API.
See the Pixaven API docs.
$ npm install pixaven --save
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()
.
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);
}
});
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);
}
});
This software is distributed under the MIT License. See the LICENSE file for more information.
FAQs
Enterprise-grade image processing SaaS running entirely on Apple® platform. Resize, scale, crop, mask, filter and enhance your images with blazing speed.
The npm package pixaven receives a total of 0 weekly downloads. As such, pixaven popularity was classified as not popular.
We found that pixaven demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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