AI hairstyles, headshots and creative tools for exploring your personal style
AI video dubbing and localization platform
Stage
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Founded
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Based in
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IN
Pricing model
Freemium
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Pricing
Weekly Pro: $5.99/week with 25 credits ($0.2396 per credit), HD generations, watermark-free export, and saved history. Monthly Pro: $12.99/month with 100 credits ($0.1299 per credit), premium hairstyle library, HD generations, personalized style report, and priority queue.
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
AI hair design with personalized hairstyle suggestions based on face shape and features
Try-on hairstyles to preview cuts and colors on your own photo
Professional headshot generation for work profiles and CVs
AI photo filters including line art, coloring pages, and storybook illustrations
Background removal with options for transparent PNG, solid color, or blur
Batch processing up to 40 photos at once
AI image generation from text or reference images using Nano Banana 2.1 or GPT Image 2.5
Image clarity enhancement to reduce blur and noise
AI video generator to turn photos and ideas into short videos
AI Image Extender to expand crops into wider scenes or taller covers
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
Combines hairstyle exploration with practical style guides and inspiration in one platform
Personalized hairstyle recommendations based on face shape before generation
All generations saved in one place for easy comparison and history tracking
Uses your own photo as identity reference for all AI transformations
Multiple AI models available including Nano Banana 2.1 and GPT Image 2.5 for image generation
Human-in-loop AI approach with 10+ quality checks
Affordable pricing compared to traditional dubbing