What inspired me to build this? I've always believed that photos aren't just records—they're a form of language. But the way we share photos today is too fragmented: one image, one caption, and that's it. We often want to express the relationships between multiple photos: the coherent emotions, scene transitions, and the rhythm of a small story. That's why I built Capto: to combine photo-based narrative expression with filters and text. Filters convey atmosphere, words add emotion, and AI helps connect them naturally. What problem were you trying to solve? Current photo-sharing apps treat each image as an isolated unit. But real storytelling requires context, flow, and narrative coherence. Capto solves this by turning 1-10 photos into a cohesive story where AI-generated captions understand the context and create a natural narrative flow. How did your approach or process evolve? I've been cautious about "AI wrapper" products—they don't create real value, just swap an API for a UI. Instead, I focused on what users actually need: a more natural, coherent way to tell stories. AI isn't the selling point—it's the tool. We start from user needs, not technology. The key insight: AI should make storytelling smoother, not just generate "faster content." This led to privacy-first design (photos never leave the device), context-aware caption generation, and templates that enhance narrative expression. Just launched on App Store 3 days ago, and already seeing 300+ organic downloads from Europe and the US—validating that there's real demand for narrative photo expression. I'd love to hear your thoughts: When big tech's barriers get higher, where can independent developers find real value? Is it features, experience, or aesthetics?

Capto: AI photo stories for IG

Turn moment into stories by Al

Turn moment into stories by Al