Image to Prompt

Image to Prompt looks at a picture and writes the text prompt that would ask an AI image generator for something like it. A real captioning model — ViT-GPT2, running in your browser — describes what it sees; the page then measures the things a caption cannot say, like the dominant colours and the aspect ratio, and assembles ready-to-paste variants in the syntax each generator expects: Midjourney with --ar flags, Stable Diffusion with a negative prompt line, Flux and DALL·E as a natural sentence.

What is real and what is assembled

The one-sentence description is genuine model output — sometimes impressively right, sometimes wrong in the way small captioning models are wrong, and shown to you unedited under "What the model saw" so you can judge it before using it. The colour names come from measuring the pixels, the orientation and aspect ratio from the dimensions. What this page never does is bolt on invented style words — no "trending on artstation", no "award-winning" — because attributes the model did not see and the pixels do not contain would just be noise in your prompt.

Getting a better caption

The model reads a small, square-ish view of your image, so it describes the dominant subject and misses fine print, logos and small background objects. Cropping to the subject before generating gives it a fair look. And treat the caption as a draft: the fastest route to a good prompt is usually this page's output with two words of yours swapped in, not a from-scratch composition. If you want to build a prompt without a reference image at all, the AI Prompt Generator is the structured way to do that.

Nothing is uploaded. Tools on this page that use a neural network download the model to your browser once, cache it, and run it on your own machine from then on. That is why there is no account, no queue, no watermark and no daily limit — there is no server doing the work, so there is nothing for us to meter and no copy of your photo anywhere but your device.