Momen Demos No-Code App Built With Gemini 2.5 Multimodal for Marketing Content Generation.

Momen demonstrated a no-code application that uses Google's Gemini 2.5 multimodal capabilities to analyze video and image content, then automatically generate HTML marketing materials. The company shared a demo video on LinkedIn showing the workflow in action.

The app accepts visual inputs including video files and images, processes them through Gemini 2.5's multimodal API, and outputs formatted HTML suitable for marketing campaigns. According to Momen, the entire application was built within their platform without writing code, illustrating how builders can integrate advanced AI models into production workflows quickly.

Gemini 2.5's ability to parse both visual and textual data enables the app to extract meaningful information from video frames and static images. The model identifies key elements such as product features, brand messaging, and visual themes, then synthesizes this analysis into structured marketing copy.

Momen's implementation handles the API integration, data flow, and HTML generation entirely through visual configuration. Builders define how video and image inputs are routed to Gemini, specify prompts that guide content generation, and map the model's output to HTML templates.

The demo positions this as a practical solution for marketing teams who need to generate landing pages, email content, or social media assets from existing visual materials. Rather than manually writing copy from scratch or outsourcing creative work, teams can feed source videos or product photos into the app and receive draft HTML within seconds.

Momen's approach removes the typical friction of working with multimodal AI APIs. Developers normally need to handle video processing, manage API keys, parse JSON responses, and render results in a web interface. Momen consolidates these steps into a single no-code environment where users configure API calls, define data transformations, and design output formats through dropdown menus and form fields.

The platform has been expanding its AI tooling throughout 2025. It recently added Nano Banana Pro support for 2K and 4K image generation, and released cloneable workflows for automated image descriptions using GPT-4o-mini. This latest demo extends that pattern to video analysis and structured content output.

The full implementation details are available in Momen's livestream recording linked from the LinkedIn post. The company is positioning multimodal AI integration as a differentiator in the crowded no-code web app market, where competitors like Bubble, WeWeb, and Noloco offer various degrees of AI capability but may require more manual integration work for advanced use cases.

For teams evaluating no-code platforms with strong AI support, this demo suggests Momen can handle sophisticated multimodal workflows without requiring custom backend code. The viability of the approach depends on how well Gemini 2.5's output aligns with brand voice and whether the generated HTML requires significant manual editing before publication.