Adaptive Video Encoder

The Adaptive Video Encoder tool analyzes each source individually to adjust encoding parameters based on detected noise, grain, spatial complexity, and edge density. It preserves all HDR10, HLG, Dolby Vision, and HDR10+ metadata, including MaxCLL, MaxFALL, and color primaries, without manual intervention. The software automatically handles all high-fidelity audio tracks, such as TrueHD with Atmos and DTS-HD MA, as well as subtitles, transferring them losslessly to the output file in a single pass. It works with resolutions from standard definition up to 8K and supports containers like MXF, MP4, MOV, AVI, WebM, TS, and MKV, ensuring compatibility with broadcast workflows and RAW camera sources.

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• Zero-configuration detection. The engine analyzes background noise, film grain structure, frame complexity, and edge density without requiring predefined templates. With this data, it calculates specific encoding parameters for each source and for the selected codec, removing the need for manual adjustments.
• Dolby Vision metadata preservation. Metadata for profiles 5, 7, and 8.x is extracted using the integrated dovi_tool. The information is kept intact and reinjected into the output file without degradation or loss of enhancement layers or RPUs.
• Complete HDR10 and HLG retention. Color primaries, transfer function, master display coordinates, as well as Maximum Content Light Level (MaxCLL) and Maximum Frame-Average Light Level (MaxFALL) values are maintained. The result keeps the high dynamic range identical to the original source.
• Smart black-bar cropping. The automatic detection algorithm identifies constant black bars at the edges and removes them without risking the accidental cutting of active content. This function avoids unintended cropping in sequences with aspect ratio changes or brightened frames near the margins.
• Lossless transfer of audio and subtitles. All audio and subtitle tracks are copied by default from the source container. High-definition codecs such as TrueHD with Atmos metadata, DTS-HD Master Audio, and PGS graphical subtitles are preserved without modifying their original encoding.
• Multi-format and multi-resolution processing. A single executable binary handles the input and output of MKV, MP4, MOV, AVI, MXF, WebM, M4V, and TS containers, with support for progressive scales from 480p to 8K. The architecture does not require external Python interpreter dependencies.
• HDR to SDR tone mapping. To obtain a copy compatible with standard dynamic range displays, projectors, or mobile devices, the system converts Dolby Vision, HDR10, and HLG sources by applying controlled tone mapping. Highlights and chromatic information are preserved in the SDR version without producing a washed-out or greyish result.
• Per-scene CRF adjustment in x264 and x265. The analysis module divides the material into scenic segments and assigns an individual constant rate factor. Sequences with fast motion, heavy grain, or high complexity receive a larger bit distribution than static or simple scenes, providing better visual quality at the same file size.
• Gradient and shadow optimization in AV1. The AV1 encoding method employs a variance boost that injects additional bits into flat and dark regions to remove banding. A frame-level luminance QP bias lifts quality in low-light scenes, precisely where this codec often exhibits artifacts.
• Adaptive handling of grain and detail. Films with grain texture are not treated with a standard denoising filter. The encoder distinguishes between unwanted digital noise and artistic grain to apply compression that maintains the temporal grain structure, preventing sharpness loss in archival footage.
• Complete HDR10+ metadata transfer. The dynamic scene-by-scene metadata that characterizes the HDR10+ standard is extracted from the source file and embedded again into the final container. The operation does not omit or alter the step-by-step luminance curve information.
• Single-pass encoding with global preservation. The unified process converts the video stream to the target codec while simultaneously preserving high-fidelity audio tracks, subtitles, and HDR metadata. This removes the need for subsequent remuxing operations that could damage synchronization or container structure.

Adaptive Video Encoder was created by the developer known as thegrunge36. The project launched in 2026 and is written in Rust, a systems programming language that provides precise control over memory usage and performance during intensive video stream processing. The development path has focused on an engine capable of evaluating each video source in isolation and adapting the compression strategy at runtime, as opposed to linear transcoding models that apply fixed rules.

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