Pixop provides AI-based video enhancement for broadcasters and media companies. Its Prime software supports live and file-based workflows, while Pixop FILE is a managed SaaS platform for processing individual assets or archives.
Pixop is a machine-learning video enhancement platform for broadcasters and media companies. It improves, restores, upscales, and standardizes video from live sources or stored assets, with workflows designed to fit existing broadcast, media asset management, and cloud environments.
Pixop offers two products. Pixop Prime is licensed software that runs in a customer's cloud or on-premises environment for live and file-based processing. Pixop FILE is a fully managed SaaS platform where users submit individual assets or archives through a web app or REST API and receive processed, delivery-ready output.
Depending on the workflow and source, processing can include deinterlacing, restoration, super-resolution upscaling, frame-rate and motion processing, SDR-to-HDR conversion, color conversion, and finalization. Supported transformations include HD to 4K UHD, SD to HD, and SDR to HDR10 or HLG; Pixop notes that the achievable output depends on source quality.
Pixop Prime supports real-time enhancement for broadcast and linear playout, as well as file-based VOD, archive enhancement, and remastering workloads. A licensed instance can be redeployed between live and file-based work when required.
Optional processing stages include deinterlacing, ML-based refinement and restoration, super-resolution upscaling, SDR-to-HDR conversion, color-space conversion, frame-rate and motion processing, and finalization adjustments.
The platform supports workflows such as HD to 4K UHD, SD to high-quality HD, and SDR to HDR10 or HLG. Pixop states that output targets depend on the quality and condition of the source.
In live workflows, Prime sits between contribution and delivery encoding and prepares an enhanced mezzanine stream for the customer's existing encoder. The site reports typical end-to-end latency of approximately 600 milliseconds, including HEVC encoding.
Pixop FILE can process individual assets or entire archives through automated, deterministic pipelines, with before-and-after review available before processing at scale.
Pixop FILE provides a web app and REST API, accepts inputs through HTTPS, S3, or MAM connections, and delivers outputs to S3 or pre-signed URLs. Pixop Prime supports SDI-based ingest and MPEG-TS over SRT workflows.
Broadcasters can place Pixop Prime before the delivery encoder to enhance live HD SDR contributions into higher-resolution HDR output, while retaining the existing encoding and distribution chain.
Media teams can process legacy libraries in Pixop FILE or the file-based Prime workflow to reduce compression artifacts, noise, and instability, and to create standardized assets for later distribution.
Content operations teams can use automated file processing to create consistent mezzanine or delivery-ready outputs for VOD, OTT, broadcast, and FAST distribution.
Teams working with older or interlaced material can use deinterlacing, frame processing, and motion normalization to prepare progressive files or streams for current delivery workflows.
Organizations using supported media asset management workflows can trigger Pixop FILE processing from connected tools, including Mimir, rather than moving assets through a separate manual process.
Pixop Prime is licensed enhancement software that runs in a customer's cloud or on-premises environment and supports live or file-based workloads. Pixop FILE is a fully managed SaaS platform: users submit assets through the web app or REST API and Pixop operates the processing.
Prime is positioned pre-encoding, between the contribution source and the delivery encoder. It can receive live inputs through SDI-based or IP workflows and send an enhanced mezzanine stream to the existing encoder.
Pixop FILE accepts inputs through HTTPS, S3, or integrated MAM systems. Outputs can be delivered to S3 or through pre-signed URLs. The platform is intended for enhanced, standardized assets used in broadcast, OTT, and VOD workflows.
The site reports typical live end-to-end latency of approximately 600 milliseconds, including HEVC encoding. It also states that latency without encoding can be below 100 milliseconds; actual performance depends on the deployment and workflow.
Yes. The documented workflows include HD-to-4K UHD upscaling and SDR-to-HDR conversion using HDR10 or HLG. Pixop notes that output targets depend on the quality of the original source, so lower-quality or legacy material may be targeted at clean HD rather than 4K.
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