For broadcasters & OB

Broadcast-grade lighting correction that slots into the pipeline you already run.

A real-time AI processing layer for live outdoor sports — positioned before your switcher, speaking the formats your infrastructure already speaks. No new cameras. No workflow rebuild.

Where it sits

One layer, before production

Camera / Feed
LivePictureAI
Switcher / OB
Broadcast / Stream
Built for live workflows

Engineered to disappear into your chain

Standards-native

SMPTE 2110, NDI, SDI, RTSP and file-based streams.

Flexible deployment

GPU-based edge or production-hub deployment.

Pipeline integration

Positioned between camera feed and production.

Real-time inference

Runs on live feeds, engineered for broadcast timing.

No hardware change

Adds a layer — keeps your existing cameras and rig.

Broadcast-grade out

Hands the switcher an already-corrected signal.

The business case

Cost out of the production, not just quality in

Lower stream bandwidth

A cleaner, balanced picture encodes more efficiently — same quality at a lower bitrate, lower distribution cost per stream.

Less daytime floodlighting

Ease the broadcast-lighting requirement that keeps stadium floodlights burning at midday — and the energy bill with it.

Less manual balancing

Automatic correction absorbs live shading and grading work — freeing vision engineers and colorists for the show.

Live Demo

Experience the Difference

Drag the slider to compare original and AI-enhanced footage

Before: Sports footage with harsh sunlight, shadows and lighting issuesAfter: AI-enhanced sports footage with balanced lighting

LivePicture.ai automatically reduces harsh sunlight and deep shadows to balance lighting — in real time.

FAQ

Integration, answered

Where does LivePictureAI sit in the chain?
Between the camera feed and your production pipeline — before the switcher or OB. It hands the downstream chain an already-corrected, broadcast-grade signal.
Which signal formats are supported?
SMPTE 2110, NDI, SDI, RTSP and file-based streams. Deployment is designed for GPU-based edge or the production hub.
Does it replace our vision engineers or graders?
It reduces the manual balancing load. Automatic frame-by-frame correction handles the sun/shadow rebalancing that today ties up live shading and grading, so your crew focuses on the show.
Do we have to change our cameras or workflow?
No. It adds a processing layer to the infrastructure you already run — no new cameras, no pipeline rebuild.
What about latency?
It adds about 100 ms of latency — built to keep pace with live broadcast timing.

Working in football specifically? See the live football page.

Get in Touch

Interested in LivePictureAI?

Book a call, or send us a message — whichever suits you.

30 minutes Teams link Instant confirmation

Grab 30 minutes with the team — pick a time that suits you. You'll get instant confirmation and a Microsoft Teams link.

See available times

Prefer to write? instead.