AI video generator that turns your photo into a viral Crazy Frog trend video
Enterprise video AI powered by multimodal intelligence for semantic search, analysis, and understanding
Stage
Not given
Established
Founded
Not given
2021
Based in
Not given
US
Pricing model
Paid
Freemium
Pricing
$4.99 for 10 credits (1 default video); $9.99 for 30 credits (3 default videos); $19.99 for 20 credits (2 HD videos). Pay once with no subscription; credits never expire and failed videos return credits automatically.
Free plan: $0/month with 3 GB storage and 600 minutes of video indexing. Plus plan: $29/month with 50 GB storage. Pro plan: $99/month with 200 GB storage. Custom plans available. Annual billing offers 17% discount.
Key features
Upload one or two photos to generate videos
Multiple scene options: retro game overpass, city street, open highway, neon street
No prompt writing required
12-second videos at 720p in 9:16 vertical format for TikTok
HD video option with steadier motion and finer detail
Approximately 3 minute generation time
Quiet road sounds with no music added
Credits never expire and work across all trends
Semantic video search across entire libraries using natural language
Automatic content segmentation with scene change detection
Compliance and policy risk identification at scale
Automated highlight generation from video libraries
Video insight analysis and pattern detection
Fast indexing at ~60x real-time speed
API and SDK with multiple language support
Jockey AI agent for video search in Claude and ChatGPT
SOC 2 Type II certification and encrypted data handling
What makes it different
No prompt writing needed—just upload your photo and pick a scene
Sample videos on the site show real results before you buy
Specialized for TikTok with vertical 9:16 format built-in
Pay once with no subscription or auto-renewal
Duo mode allows two friends to ride together on separate mopeds
Video-native foundation models trained specifically for video understanding
Processes vision, audio, speech, and on-screen text together in one index
Reasons across full temporal sequences up to two hours, not just frame sampling
Spatiotemporal embeddings make every video moment findable by actual content, not metadata