Create AI influencers and generate UGC ads in minutes
AI video dubbing and localization platform
Stage
Startup
Not given
Founded
Not given
Not given
Based in
Not given
IN
Pricing model
Freemium
Not given
Pricing
Free trial with 10 credits. Starter: $15/month (100 credits) or $19 annual billing; Creator: $31/month (250 credits) or $39 annual billing; Pro: $79/month (700 credits) or $99 annual billing; Agency: $159/month (1500 credits) or $199 annual billing. AI Clone training costs 100 credits. Credit costs:
Single Video (up to 10 mins): ₹150/min with 24-48 hours turnaround. Starter plan: 5 hours per month at ₹120/min. Creator plan: 10 hours per month at ₹120/min.
Key features
Locked Identity Engine - maintains consistent facial features and identity across all generated content
AI Clone - upload 8-12 selfies to create a private digital twin with biometric security
Batch Generation - generate 8-12 photos, 10 hooks, 3 scripts, 5 captions, and 4 static ads in one click
AI Video & Lip Sync - turn scripts into talking videos with natural lip sync for TikTok and Reels
Full commercial rights - brand-safe, no celebrity resemblance, no legal risk
Support for videos up to 60 seconds on Agency plan
Multi-client workspace for agencies to manage multiple AI influencers
GDPR & CCPA compliant with SSL security
Instant content generation in minutes without filming or hiring models
Context-relevant translation for better engagement
Custom voice personas in 5 languages
Precision audio syncing to 2 decimal places
Over 10 human quality checks
YouTube and local file upload
24-48 hour turnaround time
Support for 5 major languages
What makes it different
Create consistent AI characters in 3 minutes with locked identity across all content
Own 100% of commercial rights with no recurring royalty fees
Private, encrypted AI Clone with strict biometric verification and GDPR/CCPA protection
Eliminate expensive agency fees, model shipping, and licensing overhead for DTC brands
Human-in-loop AI approach with 10+ quality checks
Affordable pricing compared to traditional dubbing