image to prompt
Extract the style notes you can use on the next image
The output is editable text covering composition, light, palette, and material, ready to adjust before you generate.
AI provider analysis Not stored by AiCanvasly
Structured analysis
Visual analysis
This result describes the current image. Check subjects and visible text before copying a prompt.
Composition
Subjects
Palette
Typography
Lighting
Materials
Camera
Negative constraints
Model prompt
Visual analysis
Your image preview will appear here
AiCanvasly does not store the image, analysis, or prompts. The image is sent to the configured AI provider, which may retain the request temporarily under its policy.
PNG / JPG / WebP, up to 10 MB and 4096 px per side. Each analysis uses 2 credits.
When image-to-prompt analysis helps
Recreate a visual direction
Translate composition, color, materials, and camera language into text you can inspect and revise.
Move an idea across models
One visual analysis produces General, Nano Banana, Midjourney, Flux, and ChatGPT Images versions.
Create a design baseline
Confirm subjects and visible typography before sharing a prompt with a designer or generation model.
How to generate a prompt from an image
- 1
Upload a clear reference image
Choose a PNG, JPG, or WebP under 10 MB. The source is used only for this model request.
- 2
Confirm the cost and analyze
Sign in and use 2 credits. Timeouts, model failures, and invalid results are refunded automatically.
- 3
Review and copy a model prompt
Check subjects, visible text, and palette, then choose a model tab and copy that version.
Image to Prompt questions
Does AiCanvasly store my uploaded image?
No source image is written to AiCanvasly object storage or databases. It is sent to the active AI provider, which may retain the request temporarily under its own policy.
Why are there different prompts for each model?
Models respond differently to parameters, negative constraints, and natural-language structure, so five deterministic formats are produced from one validated analysis.
Do failed analyses still use credits?
No. The server refunds the 2-credit charge when the model fails, times out, or returns a result that fails validation.
What you want is not that picture but the rules that make the next one resemble it
Reusing a reference image directly tends to raise licensing and context problems. The reusable part is the visual language underneath: wide or long lens, backlit or overhead, muted or high contrast, matte or reflective. This tool separates those into words you can edit, so you delete what does not apply, swap the subject, and generate the picture that belongs to you.
When a set of images has to share one visual language
For a single illustration, picking something suitable is enough and this detour adds nothing. When a whole deck, a poster series, or a brand system needs images that clearly belong together, fixing the style as text is far steadier than describing it from feel each time.