Introduction

Crunch Mediaworks (“Crunch”) is a cloud-based patented video optimization and AI-based video upscaling service. Crunch Video processing workflow enables video optimization service for developer integrations on websites, mobile apps, and Shopify stores to deliver the most optimized video experience to end users.

Crunch’s state-of-the-art technology empowers every developer to deliver the best video experience by upscaling and enhancing user provided lower resolution videos and delivering them to target viewing device and location in real time.

Optimus is an easy-to-use platform that can be initiated in minutes and help optimize videos at a user-defined quality level while saving bandwidth and streaming costs by up to 70%.

Crunch can perform:

Video Optimization: Crunch takes users original video and performs analysis and Encoding as a two-step process. Crunch software internally uses patented-technology to process incoming video at the same perceptible quality as input, but at the lowest file size possible. Most video optimization services available today are making a simple trade of reduced file size with a corresponding reduction in quality. Crunch internally uses proven video processing algorithms and methods on top of any standard video codecs to control the encoding operation in a truly content-aware fashion. This enables Crunch to offer the lowest video file sizes at the same perceptible quality compared to its competition.

AI Video Upscaler: Crunch has developed revolutionary ML/AI algorithms through which target resolution based upscaling, 2x frame interpolation, and 16x more video pixels is made possible. Crunch video AI Upscaler performs true pixel upscaling of converting low quality, low-resolution input to a high quality, high-resolution output video stream. Crunch Mediaworks’ AI Upscaler works in a real-time manner when applying video restoration in conjunction with pixel upscaling process.

Crunch AI image Upscalers are revolutionary tools that employ advanced machine learning algorithms to enhance image resolution. These intelligent systems possess the remarkable capability to upscale images by a factor of 2x and 4x, delivering striking results. By leveraging their deep understanding of image patterns and structures, these algorithms intelligently predict missing details and intricacies, effectively enlarging images without sacrificing quality. The 2x and 4x upscaling options provide users with the flexibility to choose the level of enhancement required for their specific needs. Whether it's enhancing small images for better visibility or transforming lower-resolution visuals into high-definition masterpieces, AI image Upscalers bring new dimensions to the world of digital imaging, making outstanding improvements readily accessible.

Supported Environment (VoD)

Crunch Docker Container, which runs on the server, is deployed and maintained as a dockerized application. For the workflow integration, Crunch software is mapped to run on the Cloud infrastructure.

Minimum System Requirements (VoD Optimizer)

In a standalone docker environment, Crunch requires a two core CPU with a minimum clock speed of 3 GHz for processing of 1080p input videos. The above is the requirement for Crunch Transcoder and is over and above the requirements for the Docker software.

For Workflow:

For Single encode, Single Decode video optimization, the Crunch transcoder recommends 6 core for real-time processing of the video. Please note that the real-time benchmark is for transcoding time and excludes time for server provisioning, video transfer / download, etc.

Supported Video File Formats (Optimizer)

Input Formats

Output Formats

Supported Video File Formats (Upscaler)

Input Formats

Output Formats

Optimizing or Upscaling from Optimus UI Dashboard

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