Artificial Intelligence (AI) upscaling technology enables the enhancement of lower-resolution footage to higher resolutions with remarkable precision. By leveraging deep learning algorithms, AI video enhancer analyze and predict pixel data to generate images that are sharper and more detailed than traditional upscaling methods. As AI upscaling technology advances, seamless integration with professional video formats and workflows becomes increasingly available through Rest API, ensuring compatibility and efficiency in post-production processes. Here we will explain how to use AI enhancer to upscale professional video formats.
AI quality enhancers: Cloud-based vs. Hardware-dependent
Currently, two types of AI video enhancers are available on the market: those that recommend but don’t require GPUs using alongside your hardware (high-end graphic cards), and those that use cloud-based GPU infrastructure to upscale and enhance professional videos. Cloud-based AI upscalers, such as TensorPix AI, make AI quality video enhancement more accessible, offering significant advantages to users without high-end graphic cards. TensorPix AI uses parallel processing technology, a powerful cloud-based GPU system capable of scaling up its processing resources. This allows video professionals to process multiple videos simultaneously, without a significant drop in speed, making it an ideal solution for those with high-volume workflows
Supported professional video formats for AI upscaling
AI video enhancer is designed to support workflows using industry-acclaimed video formats. However, the specific formats supported can vary depending on recording technology and production preferences. TensorPix AI supports popular formats like:
- Apple ProRes: Known for its excellent balance between image quality and file size, ideal for post-production and supporting resolutions up to 8K.
- Avid DNxHD and DNxHR: Professional codecs designed for minimal quality loss, supporting high-definition and high-resolution formats.
- H.264/AVC and H.265/HEVC: Compression standards used for recording, compression, and distribution of high-definition video. H.265 provides improved compression efficiency for higher resolutions like 4K and 8K with smaller file sizes.
All formats play a crucial role in professional workflows, offering specific advantages in terms of image quality and editing flexibility when upscaled by AI video enhancer.
Enhancing video formats with TensorPix AI
TensorPix AI is designed to support fast workflows while delivering studio-grade results. Once you log in, you will find an intuitive, step-by-step interface designed to simplify the video enhancement process.
- Select the "Video Enhance" option as your preferred AI upscaling method.
- Upload one or multiple videos, regardless of their length or format
- In the main toolbar, you will find various AI filters. Good results can often be achieved with the following combination:
- 200% Upscale Ultra
- Noise Reduction V3
- FPS Boost 2x
For more complex video problems, the latest Deep Clean Ultra v3 filter can further reduce noise, compression artifacts, and blur, while additional AI filters like AI Denoise and AI Dust Booster are useful for restoring old footage formats like 35mm film. For those looking to stabilize video, the AI stabilization filter is available to reduce camera movement per axis.
- In the advanced settings, you can select output resolutions (HD, FullHD, 2K, 4K), codecs, and video file extensions.
The number of filters available will depend on your enterprise plan (see pricing for details). Once the enhancement process is complete, you’ll receive an email notification and can download the enhanced video directly through the software interface.
Conclusion
AI video enhancer is revolutionizing the video post-production process, enabling video professionals to breathe new life into lower-resolution footage quickly and efficiently. With AI upscalers like TensorPix, professionals can have access to scalable cloud-based tools capable of processing videos in parallel, enhancing quality without compromising speed or performance.
