Per-Title Encoding: Video Optimization using Machine Learning
Reduce file size, improve video quality
Our machine-learning powered cloud video API improves efficiency by compressing video files an average of 60% better without changing file format or losing quality. The scene-based optimization with Per-Title Encoding enhances the viewing experience, while reducing storage and delivery costs.
Per-Title Efficiency & Quality Analysis
Make each video more efficient automatically
Get the most out of each video with unique optimization per title. Create a free account to try it now.
How it works
As demand for video grows, get an edge on the competition.
You probably already know that no two videos are the same. Furthermore, each video has a wide variety of scenes that would benefit from specific encoding settings to maximize visual quality, while keeping file sizes as small as possible. The limitations of encoding technology often require engineers to use the same encoding settings for each video, preventing the full realization of video quality and delivery performance potential. And with viewers across the world with limited access to internet bandwidth, the consequences of a fixed settings can deprive a large number of your users from the video experience we all deserve.
Achieve better results for your viewers
See Per-Title Encoding Results
Big Buck Bunny
Elephants Dream
Sintel
Tears of Steel
Try you own full length video
Why optimize your video files?
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