Dyvo For Business

Turn Everyday Product Photos into Usable Inputs

Most sellers do not have studio images ready to upload. They use phone photos with uneven lighting, busy backgrounds, low resolution, or poor framing. Without clean inputs, generated results quickly lose quality and become hard to use in real stores.

Solution

We tested multiple background-removal tools and model options before building a custom approach tuned for product images. This gave users cleaner cutouts, better starting materials, and more reliable results without raising production costs.

‍

Keep Product Details Accurate in AI Images

For e-commerce brands, small details matter. If logos shift, colors change, or shapes look different, trust drops fast. Many image models create attractive scenes but struggle to preserve the product exactly as it should appear.

Solution

We combined several generations and post-processing methods to keep products visually accurate while still creating new scenes. This helped brands get creative images without sacrificing recognizable packaging, colors, or core product details.

‍

Handle Multi-Product Shots Without Chaos

Many businesses wanted bundle photos, gift sets, or collections in one image. That adds complexity because objects can overlap, compete for space, or break the composition if placed incorrectly.

Solution

We developed a workflow that processed products separately and then combined them into one final image. This made multi-item compositions cleaner, more balanced, and much more useful for promotional campaigns.

‍

Give Users Creative Control Without Complexity

Some customers wanted more freedom over backgrounds, styles, and final look. But exposing every technical setting would make the tool confusing for non-designers and slow down everyday use.

Solution

We opened selected controls that users could understand and kept the technical parameters behind the scenes. This created a simpler experience while still giving brands room to shape visuals around their style.