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MForja's entropy-aware Video Distillation works below the codec layer — feeding H.264, H.265, AV1 or VP9 a signal with the waste already removed. Same decoders, same players, same pipeline. 50%+ less to store and ship.
storage reduction on real production footage — measured, not modeled.
bandwidth cut per delivered stream. Egress bills follow the bitrate down.
lower power in transcoding farms — cleaner signal in, less work per frame.
pipeline changes. No new decoders, no CDN swap, no player updates. Nothing downstream knows.
The panel most vendors won't show you: your original, the MForja encode, and stock FFmpeg forced to the identical output size — plus the classic CRF 23 default. All four decoded from a single stream, so every frame you see is the same instant in time. Judge with your own eyes.
Every real-world video stream carries signal the encoder wastes bits describing — sensor noise, invisible texture churn, entropy the eye never receives. MForja profiles it and conditions the stream before encoding, so your codec spends its bit budget on picture, not noise. It is not a codec replacement — it's the stage your pipeline has been missing.
You can — MForja makes AV1 smaller too. A codec migration buys one generation of gains at the cost of re-validating your entire delivery chain. Entropy conditioning stacks its gains on whatever codec you run today, and the next one you adopt tomorrow.
| MForja entropy conditioning | Codec upgrade (H.264 → AV1) | |
|---|---|---|
| Typical size reduction | 40–55% on your current codec | ~30–50% — once |
| Decoder / player changes | None | Fleet-wide validation |
| CDN / packaging changes | None | Repackage + re-cache |
| Encode compute | −25% farm power | 3–10× encode cost (AV1) |
| Works with live streaming | Yes | Codec-dependent |
| Stacks with future codecs | Yes — it's upstream of them | No — it is the codec |
Cut CDN egress 40–55% without touching a single client app.
Slot MForja in as a pre-encode stage — FFmpeg-adjacent, API-driven.
Double your retention window on the same arrays. Body-cam to city-scale.
More streams per link, fewer truck rolls for capacity.
Shrink training corpora and archives while keeping ML-relevant detail.
Invite-holders can upload their own footage, choose any codec, and get back the MForja encode plus a stock-FFmpeg encode at the identical file size — scored with VMAF, side by side, downloadable. Your content, purged automatically after 36 hours.
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