Create and edit images with GPT Image 2.5 in your browser
Enterprise video AI powered by multimodal intelligence for semantic search, analysis, and understanding
Stage
Not given
Established
Founded
Not given
2021
Based in
US
US
Pricing model
Paid
Freemium
Pricing
Free: 15 credits for new accounts. One-time packs: Starter pack $2.99 (60 credits), Creator pack $5.99 (140 credits), Studio pack $12.99 (300 credits), Pro pack $25.99 (667 credits). Monthly subscriptions: Starter $2.50/month (80 credits), Creator $5.00/month (200 credits), Studio $10.83/month (500
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
Compare Flare and Sunburst models side by side
Edit images by describing changes across multiple turns
Upload up to three reference photos per image
Six aspect ratios from 1:1 to 9:16
Three resolution tiers: 1K, 2K, and 4K
Library of 531 community prompts
Animate images into 5-10 second videos
Remove watermarks with paid accounts
Private image storage until download or share
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 API key required to use GPT Image 2.5 models
Pay only for what you make with credit-based pricing
Flare model 50% faster than GPT Image 2
Same credit cost for both Flare and Sunburst models
All images remain private in user's creations
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