Most video QC tools are either expensive broadcast hardware or manual checklists. Auto QC is different: a hybrid architecture that combines video signal processing with AI — running 14 automated checks on every upload: Bad edits, brightness, blur, background noise, silence detection, speech clarity, platform compliance, typo detection, safe zone check, subtitle refinement. Upload your video. Go grab a coffee. Come back to a timestamped QC report.

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

Hey Product Hunt 👋 I'm Xinyu — motion designer and editor, 8 years building commercial pipelines for Google, Apple, Nike in Berlin. I built Auto QC because I watched QC specialists next to me burn through hours checking videos frame by frame. Every project. Every deadline. There had to be a better way. The core insight: don't go all-in on AI. Use video signal processing as the foundation (fast, precise, zero hallucinations), and add AI only where it genuinely adds value — like GPU-accelerated OCR for subtitle extraction. I'm actively looking for beta testers — especially editors, motion designers, or anyone who ships video regularly. Free access in exchange for honest feedback. Happy to answer any questions about the architecture, the detection logic, or the post-production workflows that inspired this. AMA 👇

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

AutoQC

AI-powered video quality control service

AI-powered video quality control service