Our platform automatically makes sure that it looks good in any scale and on any device.

You can embed and share your flipbooks across all marketing channels and your website. IPaper is a premium SaaS solution that allows you to convert your printed leaflets and catalogs into fully interactive shoppable flipbooks that can be pushed across all your digital channels. Leverage AI-powered Noise Cancellation that isolates voice from background noise in real time, filtering out distractions and delivering quality video experiences. To prioritize bandwidth between participants, use quality control tools such as the Network Quality API or the Network Bandwidth Profile API.

Real-time video applications that can be used across all network conditions are possible. All the support you need to create customized video applications at scale is provided by our reference apps, developer tools, documentation, and documentation. All this is done over a cloud-based, enterprise grade infrastructure. Your application can be developed, launched, and maintained using video APIs and SDKs that work on Android, iOS, and JS. These are compatible with all major browsers.

With APIs and SDKs, you can create unique video experiences that include custom layouts and virtual backgrounds. Our platform is built on top of WebRTC and allows you to focus on creating unique video applications. As a result, you get a higher resolution image.Twilio Video allows you to embed customized video experiences in your applications at scale. When you upload an image, AI Image Upscaler scans it, and generates new pixels for bigger images, and these pixels look like they should be in the real world. It helps the algorithm to understand how the natural object looks in real life. At the first stage, GAN Generative Adversarial Networks have been trained on high photo databases. In this approach images save their quality, they have no blur effect and look more natural like in the real world if you take photos with a better camera or with smaller distance. In the approach on Image Upscaler website we use Deep Learning GAN - generative adversarial network to approximate pixels. And in that case the image looks like a stretched image and it has a blur effect. Standard approach gives a blur effect in the image, if we estimate pixels as average of neighbouring pixels.

When we work with image enlargement we usually meet problems with creating new pixels that have been added. Image Upscaler - is a smart tool to upscale image without losing quality.

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