OpenArt.ai lets anyone turn songs into a music video in seconds; I want to give musicians that same “one-click” magic for video. The goal is a web-based tool where a user uploads a song and, after processing, receives a live-action, performance-style clip that feels as if it was shot on location outdoors. Core experience • Upload audio (mp3/wav) • Choose length preset or let the system auto-match the full track • Behind the scenes, the engine pulls or synthesises outdoor performance footage, cuts it to the beat, syncs mouth movements where possible, and grades the final piece for a cohesive look • Output: 1080p (or higher) MP4 ready for social upload Technical freedom I’m open to whichever stack you feel delivers the best result—stable diffusion video, generative adversarial approaches, motion-matched stock footage stitching, ffmpeg orchestration, Python back-end, React or similar on the front; use what you know will work. The only things set in stone are the live-action aesthetic, the performance-based framing, and the outdoor vibe. Deliverables 1. Working MVP hosted on a test server (login, upload, generate, download) 2. Source code & build/readme so I can deploy on my own infrastructure 3. Short demo video showing the tool converting a sample song into a finished clip Acceptance criteria • A three-minute track can be processed in ≤10 min and returns a visually coherent outdoor performance video • Footage aligns to major beat changes at least 80 % of the time • No watermarks and export renders without manual intervention If you have previous work in AI video synthesis, smart editing, or music visualisation, please include a link—seeing your results will help me move quickly to awarding the project.