Google Labs just dropped Pomelli Photoshoot, an AI-powered tool that instantly turns basic product snapshots into professional marketing imagery. The new feature, built on Google's Nano Banana model, aims to democratize studio-quality photography for businesses without the hefty production costs. For marketers and e-commerce sellers drowning in product photo budgets, this could reshape how brands create visual content at scale.
Google is making its boldest play yet in AI-powered marketing tools. The company's experimental arm, Google Labs, just unveiled Pomelli Photoshoot, a feature that promises to turn smartphone product photos into studio-quality marketing assets in seconds. According to the official announcement, the tool leverages Google's Nano Banana model to handle the heavy lifting of background replacement, lighting adjustment, and composition refinement.
The timing couldn't be more strategic. E-commerce photography remains a massive pain point for businesses, with professional shoots costing anywhere from $500 to $5,000 per product depending on complexity. Senior Product Manager Daniel Adonai from Google Labs positions Photoshoot as the solution to this bottleneck, though the company hasn't disclosed pricing or availability details yet.
What sets Pomelli Photoshoot apart from existing AI image tools is its focus on product photography specifically. While OpenAI's DALL-E and Midjourney excel at creative imagery, they often struggle with the precise requirements of e-commerce - accurate product representation, consistent lighting, and brand-appropriate backgrounds. Google's approach appears more surgical, targeting a specific use case rather than broad creative generation.
The Nano Banana model powering Photoshoot represents Google's latest iteration in efficient AI architecture. While details remain scarce, the "Nano" designation suggests a smaller, more specialized model optimized for speed and cost-effectiveness rather than the sprawling capabilities of something like . This aligns with Google's recent strategy of deploying purpose-built AI models for specific enterprise tasks.
