OpenAI Image API

Start with one concrete visual task that matches OpenAI Image API's core purpose: image generation and editing API for producing visual assets from text and image inputs with OpenAI image models. Use a clear prompt and, where supported, provide clean reference images, product cutouts, room photos, sketches, or design constraints. Preserve the original files so you can compare results and revert edits.

Generate several alternatives rather than accepting the first result. Refine composition, camera angle, lighting, style, materials, colors, and negative constraints. For product photography, check that packaging, logos, labels, and product geometry remain accurate. For interiors and architecture, treat generated layouts as concepts until dimensions and buildability are independently verified.

Inspect the output at full resolution. Look for malformed objects, inconsistent reflections, repeated textures, unreadable text, edge artifacts, and invented details. When the image represents a real product or property, avoid publishing changes that could materially mislead customers about what they will receive or encounter.

Before production use, review commercial licensing, attribution requirements, privacy, retention, brand controls, batch/API limits, and expected cost. Pricing is currently classified as usage based, but confirm current plan details with the provider.