UGC Video Turbo generates authentic UGC-style videos with real face references, native voice synthesis, and ambient audio — all from a single persona headshot. Drop in a real photo and get back clips where the character speaks in a natural voice with consistent face across every scene.

Unlike standard video generation tools, Turbo accepts real person photos as the face reference with no blocking. The voice is generated natively in each clip, steered by persona tone and accent settings in the prompt — no separate TTS pass, no dubbed audio, no lip-sync mismatches. The result sounds and looks like real iPhone UGC footage, not AI-generated video.

What you can do

research_audience — deep audience research: pain points, emotional triggers, language patterns, objections
plan_bias_stack — optional pre-planning step: maps psychological mechanisms (information gap, empathy gap, zeigarnik effect, etc.) to each section of the script before writing
generate_creative — hooks, scripts, and scenes in one fast call with ugc_style direction
generate_frames — first-frame images with real persona face reference and product compositing
generate_videos — animate frames via face-reference synthesis with native voice and ambient audio
composite_product — insert a real product image into frames before video generation
regenerate_frame — fix a single weak frame without re-running the pipeline
assemble_final — stitch clips into a finished video with transitions
check_video / check_image — poll for pending generation jobs

Who it's for

DTC brands, performance marketers, and agencies who need character-consistent UGC video with real-looking faces and natural-sounding speech — not dubbed AI voices over animated avatars.

How to use it

Start with research_audience — pass company name, product name, and description
Run generate_creative with the full research output and ugc_style — review before proceeding
Call generate_frames with a real persona headshot as persona_image_url for face consistency
Run generate_videos — Turbo passes your headshot as a face reference so the character looks consistent across clips (takes 2–10 minutes)
Finish with assemble_final to produce the completed video