Text editing
Poster copy replacement
Prompt: Change the band name to "VELVET NOTE TRIO," the date to "SAT NOV 15 - DOORS 9 PM," and the venue to "LIVE AT THE BLUE LANTERN." Keep every other element unchanged.
OpenAI precision image editor
GPT Image 2 Edit is for changes you can proofread
Use it when the edit involves text, layout, labels, or product details that should remain controlled rather than loosely restyled.
image to image 7 credits per image.
Your generated image will appear here.
Enter a prompt and click 'Generate Image' — or start from an example:
Examples
GPT Image 2 Edit before and after examples
Drag the handle to compare each source and result, or open the viewer for a closer look.
Ad editing
Product label update
Prompt: Change the bottle label to "OVERNIGHT REPAIR SERUM" and the size to "50 ml." Keep the headline, bottle, pedestal, leaves, droplets, and lighting unchanged.
Background replacement
Lifestyle background replacement
Prompt: Place the transparent speaker on a dark slate shelf in a modern living room at dusk. Preserve the product and add a realistic contact shadow and faint reflection.
High-resolution edit
Selective material change
Prompt: Change only the off-white linen armchair to deep sage-green velvet. Preserve its shape, folds, throw, and every other part of the room.
Model context
What makes GPT Image 2 Edit precise?
GPT Image 2 Edit is the editing counterpart to a typography-aware generation model. It is valuable when the request changes specific copy, product labels, materials, or backgrounds while the rest of the composition should remain stable.
On RenderFlow AI, it belongs on production edits where the before image matters and the output needs to preserve what was already working.
Model strengths
Edits that fit GPT Image 2 Edit
Use it when the edit involves text, layout, labels, or product details that should remain controlled rather than loosely restyled.
- Poster and label copy replacement where spelling, hierarchy, and surrounding artwork have to survive.
- Selective material or object changes that should not rewrite the entire source image.
- High-resolution product and ad edits where small details must stay recognizable.
Prompt guide
A controlled GPT Image 2 Edit workflow
Name the exact edit first
Start with the copy, object, material, or background that changes. Do not bury the instruction under style language.
Protect the source
Say what must stay unchanged: product shape, face, artwork, lighting, camera angle, and layout.
Quote replacement text
Put every replacement string in quotes and keep it short enough to proofread at full size.
Regenerate the smallest failure
If one label fails, simplify that label instead of rewriting the whole brief.
Frequently asked questions
When should I use GPT Image 2 Edit?
Use it for precise edits to posters, labels, ads, products, backgrounds, and materials where preserving the source image matters.
Is GPT Image 2 Edit good for text changes?
It is one of the better options for text-aware edits, but every output still needs proofreading before publishing.
How do I stop it from changing the whole image?
State the change first, then explicitly list what must remain unchanged. The preservation instruction is part of the edit.
When is another editor better?
Use Nano Banana 2 Edit for fast multi-reference remixing and Qwen Image 2.0 Edit for bilingual text or layout edits.