Privly's answer

Privly is the only content protection platform that combines all four layers of protection in one dashboard: automated leak scanning, one-click DMCA takedowns, invisible forensic watermarking for both images and video, and AI-powered deepfake detection. Every competitor focuses on just one of these - usually DMCA takedowns alone. Privly replaces the entire patchwork of manual tools most creators rely on today.

Privly's answer

Competitors charge $100–300+ per month for DMCA-only services, often with per-takedown fees or per-username pricing. Privly includes everything - scanning, takedowns, watermarking, and deepfake detection, for a flat $49/month with no limits. It also offers forensic watermarking that embeds invisible markers into your content, so if something does get leaked, you can trace exactly who shared it. No other tool in this space offers that.

Privly's answer

Digital content creators who need to protect their work from unauthorised sharing - particularly creators on subscription platforms like OnlyFans, Fansly, and similar services, as well as the management agencies that represent them. These creators face persistent content theft that directly impacts their income, and they need automated tools that handle protection so they can focus on creating.

Privly's answer

Privly was built after seeing how many content creators deal with stolen content and have no good options. Most spend hours every week manually searching for leaks and writing DMCA letters, or they pay hundreds per month for services that only handle takedowns. There was no single tool that covered the full protection lifecycle - detect, trace, and remove. So we built one.

Privly's answer

Next.js 15 with React 19 and TypeScript on the frontend, Supabase for authentication, database, and file storage with row-level security, Stripe for subscription billing, Sharp for image processing and forensic watermarking, FFmpeg for video watermarking, and custom AI analysis for deepfake detection using error-level analysis and noise pattern recognition.