JustScribeTopic added Aug 13, 2025
"image to prompt" gpt: prompt formula and examples
For “"image to prompt" gpt”, the prompt should provide a reusable image-analysis instruction with a machine-readable schema and a grounded prompt output. Use observable instructions rather than praise words. The working formula is [role and evidence boundary] + [JSON fields] + [literal inventory] + [prompt output] + [uncertainty]. Generate a short test, inspect the failed criterion, and revise only the corresponding variable.
Example outputs for this workflow
Each page shows one source image and one short sample video so you can quickly check what to expect before running.
Source: openverse_flickr
Five workflows for this question
Quick take
- For “"image to prompt" gpt”, the prompt should provide a reusable image-analysis instruction with a machine-readable schema and a grounded prompt output.
- Use the same input to judge prompt adherence and subject and text accuracy.
- Keep the page noindex until locale, intent, factual evidence, uniqueness, and Tool-link checks pass.
Prompt formula
For “"image to prompt" gpt”, the prompt should provide a reusable image-analysis instruction with a machine-readable schema and a grounded prompt output. Use observable instructions rather than praise words. The working formula is [role and evidence boundary] + [JSON fields] + [literal inventory] + [prompt output] + [uncertainty]. Generate a short test, inspect the failed criterion, and revise only the corresponding variable.
Formula: [role and evidence boundary] + [JSON fields] + [literal inventory] + [prompt output] + [uncertainty]
Copyable starting prompts
Prompt 1
Act as a visual evidence analyst. For the supplied image, return valid JSON with subject_count, subjects, actions, spatial_relationships, setting, palette, lighting, materials, camera, crop, readable_text, and uncertainties. Use null for details that are not visible; never infer identity, brand, place, or event.
Use example 1 as a starting structure.
Replace the subject, action, setting, and constraints with the real request.
Prompt 2
Using only the JSON analysis above, write one compact generation prompt in this order: subject and action; composition; setting; light and materials; camera and crop; exact visible text; preservation constraints. Put optional style interpretation in a separate final field.
Use example 2 as a starting structure.
Replace the subject, action, setting, and constraints with the real request.
Prompt 3
Validate the generated prompt against the image. Return arrays for confirmed, omitted, invented, and uncertain details, then rewrite the prompt using confirmed visual evidence only.
Use example 3 as a starting structure.
Replace the subject, action, setting, and constraints with the real request.
How to revise a failed prompt
- If the subject changes, strengthen identity/reference constraints.
- If motion or composition is wrong, describe one observable action and one camera instruction.
- If artifacts appear, simplify the scene and reduce simultaneous changes.
What is the first concrete action for “"image to prompt" gpt”?
Define the exact image output and its pass condition, then run the smallest representative test with Image To Prompt.
Why are five tools shown?
They cover different input and transformation paths. Choose by the job and capability, not by an unsupported universal ranking.
What information must not be guessed?
Do not guess current prices, credit limits, availability, release dates, live outages, benchmark scores, or product features.