Runway logo watermark remover

Runway's Gen series generates or extends video from a prompt, an image or an existing clip, built around genuine camera movement and scene development rather than a static shot. Output on free or lower tiers fixes a small brand logo to one corner of every frame for the length of the clip.

That placement matters analytically: a fixed-position visible mark is a fundamentally more tractable problem than an in-pixel signal like SynthID, since the region needing correction is known in advance rather than distributed across the whole frame. The upload control on this page sends the file to our own media workflow, which edits the logo out directly, frame by frame.

Runway's Gen models are built around genuine camera work rather than a fixed shot, which is exactly what makes this problem interesting: the mark is a corner-fixed overlay, not a statistical signal woven into the content, and that distinction is what makes direct editing viable here rather than a regeneration-based approach. What complicates the job isn't the mark's position but what moves underneath it: Runway's camera work and evolving scenes mean the pixel content behind a fixed corner rarely holds still within a single generation.

That turns a conceptually simple removal, patch one known region, into a per-frame problem where each frame's surrounding content has to inform the correction independently.

The operation runs through the upload control on this page.

Step 1: source the original export

A direct download preserves full quality; a screen recording introduces a second layer of compression before you've even started.

Step 2: run the edit above

Our media workflow reads the frame content around the logo and reconstructs that region on every frame.

Step 3: verify the busiest sections

Check frames where the logo's fixed position overlapped a moving camera or subject, since those are the hardest cases.

Because the logo's screen position is constant, the removal doesn't need to track a moving target the way a Sora or Veo edit does, which removes an entire category of error from the process before it starts. The variable that actually determines difficulty is motion in the content under that fixed region, not the mark itself.

That's a meaningfully different profile from SynthID or a per-frame in-pixel signal, where no amount of knowing the region in advance would help, because there is no single region to know.

Two Runway clips can carry the identical logo in the identical screen position and still produce different removal results, because the difficulty is set by what's happening under that position, not by the mark itself. A static wall yields a near-perfect reconstruction. A moving crowd or a panning camera crossing that corner gives the edit less reliable surrounding content to work from, and the result reflects that gap rather than any inconsistency in the method.

No unconditional guarantee is made. Results on low-motion backgrounds are consistently strong; results where the mark crosses heavy camera or subject motion carry a higher chance of a visible trace, and no output here is described as flawless on every input. Before running a clip through this at all, check whether your Runway plan already exports without the mark, since higher tiers frequently do.

The recurring cases share a need for output that reads as finished, not generated.

Production pipelines

Cleaning a generated shot or scene extension before it enters a longer edit that has to look consistent.

Agency deliverables

Removing a lower-tier tell from footage going into paid client work.

Brand asset preparation

Preparing generated footage for a managed asset library without a competing third-party logo attached.