Tunee is your AI music video producer. Upload a track and our AI handles characters, scenes, storyboard, and shots — every format ready to share in minutes.
Four AI agents collaborate to turn your audio into a finished music video — you pick the moment and the direction, Tunee handles the rest.
Single frames pulled from AI-generated music videos — a glimpse of the Song to MV visual style Tunee creates from your audio, no camera or crew needed.
The minimum bar: the cuts land on the beat, the energy of the visuals tracks the energy of the song, and the chorus looks different from the verse. Most generic 'song to video' tools fail the third one — they pick a vibe and stick with it for three minutes, which is how you get a video that feels flat under a song that builds. A real song-to-MV pipeline needs to read the song's structure first, not just its tempo.
Upload an MP3 or WAV and the audio analyst tags tempo, key, time signature, downbeats, vocal segments, and section boundaries (verse, pre-chorus, chorus, bridge, outro). That structural map is what Sage uses to plan visual variety: tighter framing in verses, wider releases in choruses, a palette shift on the bridge, the biggest shot saved for the final chorus. The song stops being 'audio underneath video' and starts being the score the video is cut to.
Before you commit to a full render, generate the first 30 seconds and watch it muted. If the cuts still feel intentional without the audio — if there's visual rhythm independent of the song — the full render will work. If muted, it looks like a random reel, regenerate with a tighter prompt before spending the credits. Tunee's draft pass is built for exactly this check.
Each prompt is crafted for Song to MV aesthetics. Paste into Tunee, hit generate — your song to mv music video is ready in seconds.
Each lyric phrase becomes its own scene — Tunee's AI matches every line to a audio upload visual. Effortless transitions between stanzas (dissolve on the verse, hard cut on the chorus). The final frame mirrors the opening. Built for a tight, narrative-driven music video.
No literal imagery — pure audio upload and AI scene generation responding to audio energy. Low frequencies shift effortless color; highs trigger automatic sync particle bursts. The arc mirrors emotion: fast in the verse, explosive automatic at the drop, calm in the outro. Perfect when the song should carry the visual.
Three chapters synced to song structure. Ch.1 (effortless): audio upload wide shot, slow push-in. Ch.2 (fast): medium close-ups of AI scene generation, energy rising. Ch.3 (automatic): full-frame automatic sync, maximum intensity. Title card at 0 s, clean credit at the end — release-ready in one render.
A effortless scene with audio upload and sweeping camera movements, bathed in dramatic lighting that pulses with the beat
Artist immersed in AI scene generation, fast energy radiating through every frame and cut of the video
Abstract automatic sync morphing and flowing in slow motion, capturing the effortless essence of the music perfectly
Close-up shots of audio upload dissolving into instant MV, creating a fast visual journey that follows the song's rhythm
Wide establishing shot of a automatic environment with AI scene generation in the foreground, evoking a deep emotional resonance
From release day to full content calendars — real ways people ship song to mv music videos with Tunee.
