Generate a viral desk-concert meme video with your face and your friends
AI agent for content creators
Stage
Startup
Not given
Founded
2026
Not given
Based in
Not given
US
Pricing model
Paid
Freemium
Pricing
One clip: $8.99 one-time purchase. Includes up to five people (lead singer, keys, two backing singers, sax), 19-second 9:16 720p MP4, every shot animated to its slice of the song, no audio track, and 7 days to download. If a render fails or is refused, credits return automatically for a free retry.
Free: 20 credits per day, no card required. Lite: $9/month with 1,000 credits per month. Starter: $19/month with 2,000 credits per month. Pro: $49/month with 6,000 credits per month. All prices in USD.
Key features
Upload 1-5 photos to fill band member seats
Generate 19-second 720p vertical video clip
Animated to match original Outstanding performance cuts
AI-generated musicians fill empty band seats
No audio track; add sound on TikTok
Automatic credit return if render fails
Renders in about 10 minutes after payment
Photos deleted within 24 hours after rendering
Private clips with optional download link sharing
No account or sign-up required
Video editing by natural language description
Automatic subtitle generation in multiple languages
Thumbnail creation from footage or text description
Audio transcription with word-level timing
Text-to-speech voiceover generation
Motion graphics and animated sequences
Document analysis and PDF processing
Live progress visibility
Video generation from text descriptions
Multi-platform access via web, iOS, and Android
What makes it different
Uses generated office set and fictional musicians instead of face-swapping real footage
Lip-sync perfectly matches animated performance to original song cuts
One-time payment with no recurring fees or accounts
Completely independent from NPR and Tiny Desk Concerts
Renders original 19.2-second concept in four key animated shots
Natural conversation interface instead of complex editing timelines
No watermarks on exported files
Privacy-first processing with no model training on user content