Make a lyric video with AI
Feed it the lyrics, line by line. The workflow that works: split the song into lines, generate one scene per line in a shared palette, then cut them together in order — here are two real matched scenes from two lines of one lyric.
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Split the lyrics into lines or sections, turn each line into a scene prompt (keeping one shared palette phrase in every prompt so the clips match), and generate one clip per line. Assemble the clips in order in a video editor and add the words as a timed text layer — Kling doesn't burn in lyric captions, and generated text warps, so the type always goes in at the edit. The two matched demos here are two lines of the same lyric.
Two lines, two matched scenes
Two consecutive lines of one lyric, each turned into its own scene — both real, unedited Kling generations sharing the same golden palette so they cut together as one video:
Line 1 · “golden light spills over the empty street”
Cinematic shot for a song lyric "golden light spills over the empty street": warm golden evening light washing slowly across an empty cobblestone street, long shadows stretching, dust motes drifting in the beams, nostalgic and tender mood, slow gentle camera drift, photorealistic.
Line 2 · “we were dancing with nowhere to go”
Cinematic shot for a song lyric "we were dancing with nowhere to go": a young couple slow-dancing together in the middle of an empty cobblestone street at golden hour, warm evening light and long shadows, tender and nostalgic mood, the same warm golden palette, slow gentle camera drift, photorealistic.
Same palette, same street, two beats of one song. Because both prompts repeat the palette and mood phrases, the clips match — cut them together in order, lay the words on top in an editor, and the lyric video assembles itself line by line.
How to make a lyric video
Split the lyrics into lines or sections
Read the lyrics and mark the strong images — each line or section with a clear picture in it becomes one clip's brief. A verse might be two scenes; a chorus one held mood. The song's structure becomes the video's shot list.
Turn each line into a scene prompt, in one shared palette
Quote the line, then translate it into a visual: “golden light spills over the empty street” becomes warm light washing across cobblestones. Repeat the same palette and mood phrases in every prompt — that repetition is what makes separate generations cut together as one video. Generate one clip per line or section; Kling renders up to 15 seconds in a pass.
Assemble the clips in order in an editor
Drop the generated scenes into any editor in lyric order — the cut points fall naturally at the line breaks. This is also where the actual words go in, as a text layer over the footage, exactly like a traditional lyric video.
Time the text to the track and export
Sync each line's appearance to the vocal, style the type to match the mood you generated, and export. The AI supplied the moving backdrop; the edit is what makes it a lyric video.
Kling generates the moving backdrop — it has no lyric-text or caption-burning feature, so the words go in afterwards as a separate layer in a video editor, timed to the track. That's not a limitation specific to AI tools; it's how lyric videos are built in general, hand-drawn or generated. Think of it as two jobs: prompt for the mood here, then edit for the words there.
