Van Gogh Studio
Free AI video generator to turn text or images into cinematic clips.
Design Tools·AI & Machine Learning·Marketing
About
Van Gogh Studio is an AI video generator built so you can create freely, turning text descriptions or photos into cinematic clips with no editing skills required. By typing a prompt or uploading a photo, picking a model, and downloading an MP4, users can easily produce polished content in minutes.
Designed for creators, marketers, and storytellers, the platform provides an all-in-one workspace for generating videos, photos, and creative content. It helps users test styles, create social clips, and produce UGC-style product ads without needing a traditional editing suite.
What makes it different is multi-model access within a single browser workspace. Instead of locking users into one model and one subscription, Van Gogh Studio combines leading video models like Veo 3.1, Sora 2, Kling 3, Seedance 2, and Runway, allowing creators to compare quality, speed, and style on the same prompt.
Ready to launch?
Submit your product and get discovered by builders and creators worldwide.
Launch Now
FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
I have one rule that is really crucial for me is to never build something that doesn't already exist and isn't already successful or at least getting some traction so this way I reduce my chance of failure and I increase my chances of success
Never Build Something That Doesn't Already Exist and Work
Samuel frames his entire strategy around eliminating the idea-risk that kills most indie projects. Rather than validating a hypothesis, he only enters markets where someone else has already done that work. This one rule is the foundation all three of his $35K/month businesses were built on.
We ABC tested these pages against each other and none of the alternative versions won against the control version. And so yes, that's the moment that we all agreed to listen to our gut feeling — the control version was not conveying the messages that we wanted to convey and was not user-friendly at all. We implemented the branded version, and a few weeks after we saw positive results.
When Every A/B Variant Loses, Ship the One That Serves the User Best
Deezer redesigned their logged-out homepage and ran a three-way A/B test — none of the new variants beat the control statistically. Rather than staying put, the team listened to a qualitative signal: the existing page didn't represent the brand or serve users well. They shipped the branded variant anyway. Within weeks, it outperformed the old control. Data tests can fail to detect real improvements, especially for brand-driven UX changes that take time to compound.
There's a play for whatever you're stuck on.
Read all 2722 playbooks