AI manga translation with OCR, smart typesetting, and multi-language support
AI courseware and product video generation platform
Stage
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Founded
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Based in
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CN
Pricing model
Freemium
Freemium
Pricing
Free: 5 credits per day (no sign-in) or 5 credits per day (registered users); Pay Per Use: $0.004 per standard image translation; Basic: $8/month (1980 credits); Pro: $30/month (7700 credits, 4% off); Ultra: $24/month (92400 credits, 23% off) or $288 yearly; API available at $0.003-0.004 per standar
Free guest trial models (Agnes Image 2.5, Agnes Video 2.5 Flash) with 3 watermarked previews per day at 1K resolution. Subscriptions: Starter $9.99/month (1200 monthly credits), Pro $29/month (3500 monthly credits). One-time credit packs: Quick Pack $4.99 (600 credits), Creator Pack $19.99 (2400 cre
Text-to-video and image-to-video generation with multiple AI models
Outline-to-storyboard workflow for course videos
Reference-image consistency for product videos
Public gallery with prompt copying and remixing
Image generation and editing tools
REST API with webhook support and automation
Multiple premium AI video models including Seedance 2.5, Kling v3 Omni, and Veo 3.1
Free guest trial models with 3 watermarked previews per day
PWA installation for iOS and Android
Support for English and Chinese languages
What makes it different
Fastest online manga translation with parallelism and caching
Industry-grade glossaries and translation memories for accurate character voices
3-step workflow requiring no installation
Community-driven monthly feature updates
Accessible to both beginners and professionals
Specialized for two specific jobs: turning teaching outlines into consistent course video series and converting product photos into SKU-consistent shoppable videos
Reference-image consistency ensures generated product videos maintain the same SKU appearance
Multiple AI models in one workflow with production evidence recording
Community gallery with prompt remixing and visual assets for workflow support
REST API for integrating generation workflows into customer systems