optidash/optidash

Official PHP integration for Optidash - AI-powered image optimization and processing API. We will drastically speed-up your websites and save you money on bandwidth and storage.


Keywords
image processing, image, thumbnail, filter, resize, png, visual, photo, watermark, crop, gif, svg, jpeg, tiff, Thumbnails, Resizer, picture, thumbs, mask, image optimization, jpg, BMP, image filtering, PSD, face detection, pic, face, Webp, image resizing, image resizer, image cropping, image scaling, image masking, image watermarking, image thumbnails, optidash, heic, image-analysis, image-manipulation, image-optimization, image-processing, image-resizing
License
MIT

Documentation

Optidash

Optidash is a modern, AI-powered image optimization and processing API.
We will drastically speed-up your websites and save you money on bandwidth and storage.


The official PHP integration for the Optidash API.


Documentation

See the Optidash API docs.

Installation

$ composer require optidash/optidash

Quick examples

Optidash 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 Optidash 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 PHP integration 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 optimization and processing. It calls toJSON() at a final step and instructs the API to return a JSON response.

<?php

// Pass your Optidash API Key to the constructor
$opti = new Optidash\Optidash('your-api-key');

// Upload an image from disk, resize it to 100 x 75,
// automatically enhance, and adjust sharpness parameter.
$opti
    ->upload('path/to/input.jpg')
    ->optimize(array(
        'compression' => 'medium'
    ))
    ->resize(array(
        'width' => 100,
        'height' => 75
    ))
    ->auto(array(
        'enahnce' => true
    ))
    ->adjust(array(
        'unsharp' => 10
    ))
    ->toJSON(function ($error, $meta) {
        if (!empty($error)) {
            throw new Exception($error);
        }

        // You'll find the full JSON metadata within the `meta` variable
    });

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.

<?php

// Pass your Optidash API Key to the constructor
$opti = new Optidash\Optidash('your-api-key');

// Provide a publicly available image URL with `fetch()` method,
// apply Gaussian blur using highly optimized PNG as the output format.
// We'll also use `toFile()` method and stream the output image to disk
$opti
    ->fetch('https://www.website.com/image.jpg')
    ->optimize(array(
        'compression' => 'medium'
    ))
    ->filter(array(
        'blur' => array(
            'mode' => 'gaussian',
            'value' => 10
        )
    ))
    ->output(array(
        'format' => 'png'
    ))
    ->toFile('path/to/output.png', function ($error, $meta) {
        if (!empty($error)) {
            throw new Exception($error);
        }

        // You'll find the full JSON metadata within the `meta` variable
    });

License

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