Mark Ma is the founder and lead engineer at UnMark, where he leads the development of AI-powered video watermark removal technology. With over a decade of experience in computer vision, deep learning, and video processing, he has built production systems that process millions of frames per month across TikTok, Instagram Reels, and Google Veo content. His technical work focuses on motion-compensated watermark detection, spatial-temporal inpainting, and quality-preserving reconstruction for short-form vertical video. Before UnMark, Mark shipped computer vision infrastructure at scale for content moderation and ad compliance platforms. He writes this blog to document the real engineering, testing, and regulatory reasoning behind UnMark's processing pipeline — every test result, frame analysis, and benchmark published here is reproduced from actual production data, not synthetic examples. His goal is to give creators, brands, and regulators a verifiable technical reference for AI video watermark removal in 2026.
Real test: UnMark AI removes TikTok's bouncing watermark across 5 timestamps. Frame-by-frame analysis with 576×1024, 30fps, H.264 preserved.
2026 legal guide: DMCA Section 1202, the COPIED ACT, and platform ToS on removing AI video watermarks — what's defensible and when to consult a lawyer.
2026 AI video watermarking landscape: Veo's SynthID strategy, Sora's shutdown, Runway and Pika, SynthID vs C2PA, and COPIED ACT plus EU AI Act rules.
Watch UnMark remove a Google Veo watermark in real time: 92-second unedited recording, 48-second AI processing, before-after results.
