Precode and Encode videos up to 500% faster than other encoding services. Save time and reduce your cloud energy footprint
BitSave technology is compatible with any codec, including AVC, HEVC, VP9, AV1, and even the upcoming AV2 and VVC, with increased gains in bitrate and quality offered for newer standards
Reach ultimate video quality for resolutions up to 8K. Reduce streaming bandwidth by as much as 40%
Less than $5 per hour of content for all resolutions up to 4K – up to 50% cheaper than the most competitive solutions
Up to 40% Bitrate Saving For AVC, HEVC, VP9, AV1 In HD, 1080p and UHD/4K
Register An Account
Sign-up with your email address and receive £1 of free encoding credits to get you started.
Get Started With BitSave
Familiarise yourself with our easy dashboard and use our fast upload technology to upload the video to precode and encode.
Select The Codec
Chose the codec and quality setting of your choice to achieve desired bitrate saving.
Start Precoding & Encoding
Watch BitSave precode and encode your videos up to 500% faster than leading encoders for BETTER Quality and LESS Bandwidth.
Monitor The Progress
Easily monitor the progress of your encoding jobs via BitSave dashboard, with progress bar, download links, error notification and more.
Be notified when each encoding job is finalised, including the time and cost of individual encoding and download link.
Download Encoded Videos
One-click download to your computer or cloud like AWS, Google Cloud, Alibaba Cloud, Microsoft Azure, Dropbox. First download is free!
Here To Help
Let us know how you are doing. Any problems please get in touch via our support form. Happy Encoding!
BitSave Tech Summary
Over the last three decades, advances in video coding algorithms have led to ever improving compression rates. With video occupying more than 80% of all IP traffic by 2022, the end of the quest for bitrate saving is not in sight: every network upgrade is quickly diminished by the increasing demand for content. A multitude of different video coding standards are available to tackle this issue, with every codec generation aiming at 30-50% increase in compression efficiency at the expense of increasing complexity. The latter aspect means that new standards are being adopted very slowly: for instance, while MPEG HEVC was standardized in 2013, its high licensing fees and complexity (especially for HD and 4K content) have not yet allowed for wide adoption.
Where does iSIZE fit in? iSIZE is the first company to offer proprietary machine learning solutions for substantial bitrate or quality gains in video compression. Beyond its performance, what makes our solution stand out is that it is compatible with any existing video coding infrastructure. Therefore, it can:
- boost the compression efficiency of any video codec;
- run on client devices with minimal or no additional overhead;
- offer significant computational and energy efficiency for video encoding on resource-constrained devices (drones, action-cams, smartphones, etc.).
These advantages allow our clients to seamlessly integrate our solution and benefit from bitrate saving and quality improvement for their video delivery services.
Our Core Innovation
Future coding standards, like the ongoing VCEG/MPEG JVET and the AOMedia AV2 standardizations will create the next generation codecs that will replace HEVC and VP9/AV1. Such efforts undertake a lengthy development process that will typically culminate in 30%-40% bitrate saving for the same visual quality. However, the expected timeline for delivery of the first working codecs for MPEG’s JVET and AOMedia’s AV2 standardizations are scheduled for after 2023 – at the same time, the HEVC standard (finalized in 2013) has still not reached large rollout to date. On the other hand, current machine learning solutions like Magic Pony (Twitter) and Wave One offer disruptive performance for still-image coding; however, such solutions face substantial barriers when moved to video due to the unresolved challenge of incorporating temporal prediction and their deployment complexity.
Our bitrate saving and quality improvements are achieved by incorporating iSize’s proprietary deep perceptual optimisation and precoding technologies as a preprocessing stage of a standard codec pipeline. The entire process is shown in Figure 1. Instead of abandoning the existing codec pipeline (as proposed by deep autoencoding solutions, such as Magic Pony/Twitter and Wave One), iSIZE’s encoder-side solution preprocesses the input content with a custom-designed deep neural network solution. No changes are required in the encoding, stream packaging, streaming and decoding sides to obtain the final result. Our IP offers up to 40% bitrate saving over a wide range of encoding standards and encoding recipes, or commensurate quality improvement (e.g., 6 to 10 point increase in VMAF or similar high-level perceptual quality metrics). These gains can be used to also reduce encoding complexity, thereby saving datacenter processing power and energy consumption.
Unlike other machine learning efforts in this space, our solution is deployable today, and can be used on top of any standards-compliant or proprietary video codec architecture with minimal increase in complexity.
Figure 1. iSIZE technology for bitrate saving over a conventional codec architecture