Recorded RTC verification
Local sessions under sustained load
Four publishers and four viewers in a one-hour local CPU RTC/SFU fixture. The recorded profile covers frame rate, latency, memory and reconnect behavior.
Read the test scope and results ↗CoreMF · Core Media Framework
Combine live streams, software/hardware codecs and GPU filtering. Access and process individual video frames and audio samples through custom multi-language plugins for AI, processing and analysis. Configure graphs in code or JSON and deploy on your infrastructure.
Custom video and audio processing uses the matching plugin or source-development interface. Choose your integration path ↗
Conceptual media pipeline · choose features for your package
RTC, plugin access to frames and samples, GPU processing and flexible encoding—integrated in one native SDK.
Application languages: C/C++, Python, Node.js, Java and Go · Platform builds: Linux/Ubuntu, macOS and Windows.
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Select the capabilities your application needs; availability follows the package and platform. Check release scope and platform availability ↗
Actual engine output · 29 Oct 2026
See real footage processed with CoreGL color grading, custom shaders and animated composition inside the media pipeline.
Footage: “Bigora waterfall” by Termininja, CC0. Trimmed and resized for this demonstration; the inset is a crop of the same recording.
Windows development build; Intel UHD 770. Full output decode passed. This is a functional demonstration, not a commercial package or latency/capacity benchmark.
Recorded RTC verification
Four publishers and four viewers in a one-hour local CPU RTC/SFU fixture. The recorded profile covers frame rate, latency, memory and reconnect behavior.
Read the test scope and results ↗Recorded SDK verification
A native ABI template compiled against the source SDK and processed real video through the installed API runner. This evidence is specific to that native video path.
Inspect the integration evidence ↗Adopt it your way
Embed
Integrate through one public header; configure graphs in code or JSON. Choose binary or agreed source delivery.
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Run live backends and offline workers with the same engine in your infrastructure.
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