Drastically speed-up your websites and apps and save money on bandwidth and storage. Optidash guarantees great byte savings and exceptional quality of your visual content.
Hey Product Freaks,
We're super excited to announce Optidash with you today!
Optidash uses AI to optimize and recompress images allowing you to shave anywhere between 40% - 70% of the initial file size without any adverse impact on image quality. On top of that we offer a rock-solid GPU-powered API for rapid image transformation, cropping, enhancements, adjustments and face detection. Optidash is essentially a Photoshop for developers.
Optidash API also supports external object storage - push your optimized images to AWS, GCP, Azure, IBM, DigitalOcean, Rackspace or Alibaba Cloud.
If you're a designer or a photographer and you'd like to use our tech we also have something for you - a completely free Web Interface where you can simply drag-and-drop your images and download them back perfectly optimized in a split-second.
As an appreciation to PH community we are offering 20% off for the first 3 months deal for all our plans with PHLAUNCH promocode.
@chrismessina Hey Chris, thanks for chiming in.
Happy to answer - we use saliency detection to compute a heatmap of the strongest (most salient) fragments of the image. That model essentially tell us how the human eye would see the image and where it would look most likely. We than crop those salient regions and pass them to our ML model which predicts the most optimal quality settings for that single fragment.
We are in the process of training another ML model which will (hopefully) predict which quantization tables to use when encoding the final output image.
@ryanchaliff ImageOptim is a desktop application running locally on your machine. Optidash is an image optimization and processing API running on our own machines able to process hundreds of images per second. It's essentially a Photoshop for developers allowing our users to transform images in every imaginable way and optimize them to the maximum.
Hello. I just beta tested it on a 3.6Mb photo color JPEG against Tinyjpeg.
Your product gives 14% reduction, TinyJpeg gives me 73%.
Why should I use you ?
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