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What is Squoosh?

Squoosh is an innovative web application for image compression created by Google Chrome Labs, functioning as an open-source resource that enables users to effectively minimize image file sizes with the help of advanced codecs. It supports a range of formats such as MozJPEG, OptiPNG, WebP, AVIF, and JPEG-XL, utilizing high-speed WebAssembly modules and featuring adjustable sliders for fine-tuning quality, resizing images, reducing color palettes, and applying sophisticated compression techniques. With a user-friendly split-view interface, users can compare original and compressed images in real-time, while easily uploading files through drag-and-drop or paste functionalities. Serving as a Progressive Web App, Squoosh allows for offline use after the initial load, enhancing both privacy and performance. In addition, it includes features for resizing images to designated resolutions or custom dimensions, removing metadata, executing color quantization, and converting between formats, all performed directly in the browser, which is particularly beneficial for web developers, designers, and content creators aiming to boost loading speeds and decrease storage requirements without sacrificing image quality. Ultimately, Squoosh proves to be a highly adaptable tool for anyone interested in optimizing their images effectively, making it a valuable asset in various creative workflows.

What is Gumlet?

Gumlet Video enables you to host, secure, and stream videos to either a vast audience or a select few within minutes, while allowing for the creation of tailored video processing and delivery solutions through its Video API. Additionally, Gumlet Image facilitates the automatic optimization and distribution of images at scale across various websites and applications. With a reputation built on the trust of over 10,000 businesses and creators globally, Gumlet manages an impressive 1.5 billion media files on a daily basis, achieving a notable optimization rate of 54%. Gumlet Video streamlines the video delivery process by simplifying custom streaming with minimal coding requirements and ensuring superior compression without a loss in quality. It also enhances video management by providing a unified platform, harnesses automation through APIs, SDKs, and webhooks, and offers valuable analytics to boost return on investment, all while enabling RTMP live streaming in just minutes. On the other hand, Gumlet Image Optimization makes image enhancement effortless by automatically resizing and compressing images, seamlessly integrating to improve user experience and SEO benefits, and leading the way with the world’s first auto-responsive resizing feature. Moreover, it employs AI automation to give users control over every aspect of their images. Founded in 2019 in Singapore by Aditya Patadia and Divyesh Patel, Gumlet was born from the innovative spirit of its creators, who were instrumental in the success of Turing Analytics, a trailblazing AI startup known for its advancements in artificial intelligence. Their mission is to continue transforming the media landscape with cutting-edge technology solutions.