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What is the best video encoder and container format to use for Adobe video editing?

The H.265 (auto: bitrate) encoder in Topaz Video AI is generally the preferred choice for users editing videos in Adobe Premiere, as it offers high quality with smaller file sizes compared to H.264 at the same quality level.

ProRes, while popular in the past, is now diminishing in usage due to the improvements in other codecs like H.265 and the need for smaller file sizes.

Topaz Video AI offers a wide range of encoder options, including image sequence encoders, audio encoders, and container formats like MOV, MP4, and MKV.

Changing the encoder selection in Topaz Video AI converts the video information from one format to another, allowing for standardization, speed, and/or compression optimization.

Despite the advantages of H.265, Adobe Premiere does not natively support MKV files, so users may need to demux the MKV file to extract the HEVC (H.265) stream, which can then be imported into Premiere.

The MP4 container format is generally considered the most compatible and widely supported option for Adobe Premiere, making it a safe choice for most users.

Apple's ProRes codecs are designed for use with editing software, but they create larger output files, especially with high-resolution videos.

They are best suited for Apple-based workflows.

When using Topaz Video AI's encoders, the quality difference between NVENC (hardware) and software-based encoders is minimal, but the file size can be up to 30% larger with NVENC for the same quality settings.

Topaz Video AI offers a plugin for DaVinci Resolve, but it currently only supports the Enhancement and Motion Deblur models, and all models run at 1x scale.

The recommended workflow when using Topaz Video AI with Adobe Premiere is to first export the footage to a high-quality codec like ProRes 422 HQ, then import it back into Premiere for any additional editing and graphics work.

Topaz Video AI does not have a direct integration with Adobe Premiere, so users need to use the standalone application or the DaVinci Resolve plugin to process their videos before importing them into Premiere.

When using Topaz Video AI's filters within Adobe Premiere, it's recommended to use a maximum of two filters per file for optimal performance, as the application can become resource-intensive with multiple filters applied.

The MP4 export settings in Topaz Video AI offer options for Average Bitrate (ABR), Constant Bitrate (CBR), and Variable Bitrate (VBR) encoding, with CBR being the default choice for hardware-accelerated encoding.

The choice between software-based or hardware-accelerated (NVENC) encoding in Topaz Video AI can have a significant impact on file size, with NVENC generally producing larger files for the same quality settings.

Topaz Video AI's integration with Adobe Premiere is indirect, requiring users to export the processed footage and then import it into Premiere for further editing, rather than having a direct plugin or native integration.

The Topaz Video AI plugin for DaVinci Resolve is still in beta, and users may experience limitations in functionality compared to the standalone Topaz Video AI application.

While Topaz Video AI offers a wide range of encoder and container options, the compatibility with Adobe Premiere can be a consideration, with the MP4 container format being the most widely supported.

The performance of Topaz Video AI can vary depending on the complexity of the filters applied and the hardware configuration of the user's system, with more resource-intensive filters potentially impacting the overall editing workflow.

The choice between hardware-accelerated (NVENC) and software-based encoding in Topaz Video AI can have implications for file size, quality, and system performance, requiring users to carefully evaluate their needs and system capabilities.

Topaz Video AI's integration with Adobe Premiere is primarily focused on the post-processing and enhancement of video, rather than the full video editing workflow, which may require additional software or plugins to achieve a seamless integration.

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