Advanced AI-powered video repair service for corrupt MP4s.

The user's struggle to repair a 700MB, 30-minute MP4 file with existing tools highlights a significant gap in the market for robust video repair. Current software often fails on larger or more complex corruptions, leaving users frustrated with irreplaceable data loss (e.g., personal memories, professional footage). A SaaS solution could offer an advanced, cloud-based video repair service leveraging AI or sophisticated algorithms to analyze deep file structures and reconstruct severely damaged videos. This goes beyond simple header fixes, aiming for higher success rates on challenging files.

Product Form: A web-based platform where users upload their corrupt video files. The service processes the files and allows users to preview a portion of the repaired video before payment. Users then download the fully repaired file.

Monetization & Expected Revenue:

• Pay-per-repair model: Tiered pricing based on file size, duration, or complexity (e.g., $20-50 for consumers, $100+ for professionals per successful repair).
• Subscription for bulk/professional users: Monthly/annual plans for videographers, content creators, or media companies who frequently encounter corrupted files.
• If a highly effective solution can be built, the value proposition is high for critical data, leading to strong willingness to pay. A few hundred successful consumer repairs per month at $30 each, plus a handful of professional subscriptions, could yield $10,000 - $30,000+ monthly, with significant scaling potential globally.