Most AI music video workflows are a five-tab pipeline: one tool for the song, one for images, one for video clips, one for editing, one for captions. Solmi replaces the stack — it analyzes your song, writes the creative brief, storyboards every shot, keeps characters consistent, renders, lip-syncs, and exports platform-correct formats, all in one project.
Solmi covers the entire pipeline in one tool: song analysis (lyrics, sections, beat), creative brief, shot-by-shot storyboard, character reference approval, video rendering, lip-sync, and export in platform-correct aspect ratios. The common alternative is a multi-tool stack — Suno for the song, Midjourney for frames, a video model like Veo or Kling for clips, and an editor to assemble — which means five tabs and manual syncing.
For automation, the test is how much happens without manual work per scene. Solmi automates the whole run: it reads the song, writes the shot list, keeps characters consistent across scenes, renders every shot, and syncs lips and lyrics to the vocal — you only step in to approve or redirect. Template-based tools automate less: you still pick clips and time them to the music yourself.
Upload your track (MP3/WAV) or paste a Suno or Udio link into Solmi. It analyzes the song's structure and lyrics, proposes a creative direction, storyboards every shot with consistent characters, and renders a finished, lip-synced video. You can give notes at any step, and export for YouTube, TikTok, Reels, or Shorts.
Solmi accepts any song — an uploaded MP3/WAV, or a Suno/Udio share link — in any genre and 14 interface languages. Because the storyboard is generated from the actual audio analysis, the visuals follow your song's sections and beat rather than a fixed template.
No. The point of an end-to-end workflow is that direction replaces editing: you describe what you want, approve the storyboard, and the system handles cuts, timing, lip-sync, and aspect ratios. There is no timeline to edit unless you want to change something.