Optidash

Optidash

The world's first AI-powered image optimization API

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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.
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Launch tags:API•SaaS•Artificial Intelligence
Launch Team
Anima - OnBrand Vibe Coding
Design-aware AI for modern product teams.
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What do you think? …

Przemek Matylla
intern.work
Maker
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.
Chris Messina
Raycast
@matylla can you point to the paper(s) that describe the AI algorithm that you use? Or can you say more about what your AI does?
Przemek Matylla
intern.work
Maker
@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.
Ryan Chaliff
How is this different from ImageOptim?
Przemek Matylla
intern.work
Maker
@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.
Chris Messina
Raycast
@ryanchaliff @matylla technically ImageOptim offers an API: https://imageoptim.com/api
Mickael Coenca
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 ?
Michael Mello
@mickael_coenca Be nice. I hate this
ahsan ejaz
Can't scroll in pages.
Lubela Parrales
i found this very interesting, in fact so much i went on to search their website and social media channels, but twitter account is suspended and linkedin was not available. :(
Michael Mello
@lubela_parrales great. Use it
Amardeep Singh
Looks good. How does it compare against Cloudinary?
Przemek Matylla
intern.work
Maker
@singhamardeep Hey there! Cloudinary (and imgix) offer so-called URL-based API which allows users to transform visials though URL parameters. I am not aware of smart image optimization and recompression functions on Cloudinary. Also, they are pushing more into DAM (Digial Asset Management) and video transcoding. Optidash is a pure REST API. One image comes in, one image comes out. That allows us to provide developers and content creators with rich functionalities and enables us to extend the API on a regular basis with new optimization and transformation capabilities.
Amardeep Singh
@matylla They do recompression as well https://cloudinary.com/documenta... .. but yeah they are focussed more towards transformation and asset management. All the best!
Max Hodges
@singhamardeep @matylla I don't really understand the difference
Rahul Vats
Hey @matylla , congratulations on Optidash. I would suggest that you must give a scale for optimization I mean what percentage of compression people want, 50% or 75%.
Przemek Matylla
intern.work
Maker
@rahulvats Thank you for your input. We've addressed exactly that scenario in our API where you can select one of three different modes of optimization. Please have a look here https://docs.optidash.ai/optimiz... Our free web interface (available on optidash.ai) is currently tuned to the "medium" mode which we verified to be a very good fit for most of images.
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