How to remove backgrounds with AI: testing 4 tools on complex images

The author conducted a comparative test of four AI tools for background removal: Photoroom, Pixelcut, Adobe Firefly, and Nano Banana 2. The test subjects included images with high detail, such as hair, bicycle spokes, and transparent glass. The results showed that specialized tools (Photoroom, Pixelcut, Firefly) work by creating a mask and removing the background, with Photoroom demonstrating the best quality among them. Meanwhile, Nano Banana 2, which uses a generative approach, provided the most impressive visual results by preserving fine details, though it does not always produce a transparent PNG as it regenerates the entire scene. The author concludes that the choice of tool depends on the user's goals: specialized services are better for precise object extraction with an alpha channel, while generative models are more effective for artistic scene processing.