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 the file you downloaded from Suno) to 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 you can upload as an MP3 or WAV (including songs downloaded from Suno), 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.