BeatMv

Generates beat-synced music videos from uploaded songs or links, allowing users to choose visual styles and build scenes online. Supports various audio sources like MP3, Suno, Udio, YouTube, SoundCloud, TikTok, Spotify.

Leverages and orchestrates leading AI models from Google, OpenAI, ByteDance, and others to generate video shots, allowing users to direct the vision while BeatMV selects the optimal model for each scene.

Performs deep audio analysis to detect BPM, beat positions, drops, and song sections, mapping every cut, transition, and scene change to the rhythm for a professionally directed feel.

Analyzes the uploaded track and automatically writes a complete story arc, scene by scene, shot by shot, which users can review, tweak, or regenerate before video rendering.

Presents the entire music video as a visual storyboard grid before rendering, allowing users to rearrange shots, swap styles, or delete scenes to plan the video's structure.

Maintains consistent character appearance, outfit, and look across all shots in a video by allowing users to upload a reference photo, preventing morphing faces or costume drift.

Creates original songs from text descriptions, allowing users to pick a genre and mood to generate complete tracks with or without vocals in minutes.

Transforms any song into a different genre by uploading a track and selecting a target style from over 30 options, producing studio-quality remixes.