About DreamFlow
DreamFlow is an innovative tool that transforms Google Street View captures into cinematic AI-generated videos with aerial and walking perspectives. Utilizing advanced AI models, VEO3 and Wan 2.2, DreamFlow revolutionizes video creation by converting simple Google Maps screenshots into professional-grade aerial footage, offering unmatched efficiency, cost-effectiveness, and creative freedom. It eliminates the need for complex drone operations, geographic restrictions, and equipment investments, making it accessible to anyone without requiring specialized skills or licenses.
The VEO3 model, developed by Google, ensures industry-leading quality with exceptional temporal consistency and visual realism, while Wan 2.2, optimized for speed and cost by Alibaba, facilitates rapid image-to-video conversion for high-volume production. DreamFlow leverages Google Maps’ precise geographic data to generate natural camera movements and intelligent shot designs, adapting environmental features like weather, season, and time to enhance visual atmosphere.
Ideal for diverse applications such as social media content, corporate promotions, film pre-production, education, and real estate marketing, DreamFlow enables users to produce engaging and professional aerial videos in minutes. Its technical advancements ensure smooth camera movements, diverse visual styles, and lightning-fast generation, redefining aerial video production with an environmentally sustainable and universally accessible solution.
đź’° Pricing
Pricing is based on a point system, with costs ranging from $0.044 to $0.067 per point depending on the package. Points never expire and can be used anytime across all models. Packages include: $10 for 150 points ($0.067/point), $25 for 500 points ($0.05/point), $200 for 4500 points ($0.044/point, 11% savings), and $150 for 3150 points ($0.048/point, 15% savings). Points can be used for services like text-to-video, image-to-video (standard or high quality), and general video generation, with varying point requirements per task.