The new feature helps video platforms improve resolution, restore lost detail, and unlock new value from the content they already own.

LOS ANGELES — August 03, 2026 — Qencode, a cloud video infrastructure platform, today announced AI Upscaling, an AI feature that enhances video resolution and clarity for existing SD, HD, and 4K content while preserving detail and reducing artifacts.

Why It Matters

Audiences now watch on large, high-resolution screens that expose every soft edge and pixelated frame. Footage that was once acceptable can suddenly feel dated, making some libraries built on years of work start to quickly lose their commercial appeal.
Qencode AI Upscaling gives that content a second life by using AI to boost resolution and reconstruct visual detail, allowing platforms to provide better playback quality, re-release back catalogs to meet modern standards and today’s resolution requirements. This enhancement runs automatically during the encode, so teams avoid the cost of reshoots and manual restoration. This new feature unlocks a faster, far more affordable path to turning dormant archives back into assets with tangible production value.

How It Works

Rather than simply stretching pixels, AI Upscaling rebuilds them. The model reconstructs genuine detail in faces, textures, and on-screen text, transforming legacy videos into clean, sharp, 4K-ready video.
Three quality modes (Standard, Premium, and Max) let teams strike the right balance between speed and fidelity for any use case, from refreshing an entire catalog overnight to polishing a marquee title for a flagship 4K relaunch.

Availability

AI Upscaling is available today through the Qencode API and the Qencode Portal. Step-by-step setup instructions are available in the AI Upscaling Tutorial.