AI Image Annotation Editor
When a generated image is almost right, do not rewrite the whole prompt. Draw arrows, circle problem areas, add short notes, and send the visual feedback into GPT Image 2 for the next revision.
What is an AI image annotation editor?
An AI image annotation editor lets users draw arrows, circle problem areas, add freehand marks, and write short notes directly on an image. The tool sends both the clean source image and the annotated reference to GPT Image 2 so the final output follows the visual feedback without keeping the annotation marks.
Annotate and generate the revised image
Upload an image, click the problem areas, write the changes, and generate the revised image in one workspace. Credits, queueing, downloads, and sharing stay in the same flow.
Annotation edit generator
Click problem areas, write the changes, and generate the revised image directly.
Click to add changes
Click an area and write what should change.
Click a problem area on the image.
Revision list
No changes yet. Click the image first.
The canvas is free; generation uses GPT Image 2 credits.
Upload an image, then click the canvas to add changes.
Upload an image to start annotating.
Best when one image is close, but several specific details need revision.
Useful for generated image review, product retouching, design feedback, and client comments.
The annotation canvas does not spend credits; credits are used when GPT Image 2 generates the revised image.
When should you use annotation editing?
Use annotation editing when the image direction is mostly right, but several visible details need specific changes such as color, lighting, object cleanup, layout, or text placement.
When should you use inpainting?
Use inpainting when one exact masked area needs to change, such as removing an object, repairing a hand, or replacing a small background region.
When should you rewrite the prompt?
Rewrite the prompt when the whole image direction is wrong and you need a new subject, style, composition, or scene.
AI image annotation editor
- Best for
- Best for images that are close to the target but need multiple concrete corrections.
- Not for
- Not ideal for changing the entire subject, identity, or composition.
AI inpainting
- Best for
- Best for one clearly selected area that should be regenerated.
- Not for
- Not ideal for explaining several scattered review comments.
Prompt-only regeneration
- Best for
- Best for exploring a new direction, style, subject, or composition.
- Not for
- Not ideal when the image only needs a few precise fixes.
AI annotation editing vs inpainting vs prompt-only editing
Use this table to decide which workflow fits the image revision you need.
| Decision point | Annotation editor | Inpainting | Prompt-only |
|---|---|---|---|
| Number of issues | Several issues in several places | One selected area | Whole direction is wrong |
| Input method | Arrows, circles, pen marks, text notes | Mask brush | Text prompt |
| Best use case | Review, retouching, campaign revisions | Object removal, blemish repair, local replacement | New style, new scene, new composition |
| Final image marks | Annotations are removed | Mask is removed | No visual marks |
Choose annotation editing
When you can point to several specific problems on the image and want to preserve most of the original result.
Choose inpainting
When one exact region needs to change and the rest should stay as stable as possible.
Choose prompt-only generation
When the current image misses the subject, composition, style, or overall direction.
Made for real image feedback
Inpainting is great for one selected area. Annotation-guided editing is better when users need to explain several problems in one pass.
Generated image review
Circle bad hands, text issues, composition problems, background mistakes, and color changes before generating the next version.
Product photo revision
Mark label alignment, reflections, shadows, packaging edges, and background changes for more polished product visuals.
Design feedback
Review posters, covers, interiors, and social graphics the same way you would brief a designer.
Client communication
Turn vague feedback into specific visual instructions that GPT Image 2 can follow.
Annotation editing examples
Product visuals, interiors, campaign posters, and social graphics can all move faster when feedback is drawn directly on the image.
Product annotation edit
Mark label, reflection, shadow, and background issues for a more premium product image.
Interior feedback
Use arrows and circles to direct furniture, lighting, wall art, and palette revisions.
Campaign revision
Send multiple visual fixes at once instead of regenerating the entire direction repeatedly.
How to edit an image with annotations
Move from generated result to visual feedback to a revised image without leaving the page.
Upload or import an image
Start from a generated result or upload a source image that needs revision.
Draw annotations
Use arrows, circles, pen strokes, and text labels to mark every issue.
Send to GPT Image 2
The editor uploads the annotated reference and builds a revision prompt automatically.
Generate the revised image
Confirm the credit estimate and generate a clean final image without annotation marks.
SEO keywords and prompt angles
These long-tail searches match what users actually want: mark an image, write notes, and ask AI to revise it.
Primary keywords
AI image annotation editor, mark up image and edit with AI, AI image feedback tool, annotated image editor, visual prompt image editor
Question-style queries
How do I mark up an image and ask AI to edit it? Can AI follow arrows and circles on an image? Will annotation marks appear in the final image?
Generator prompt pattern
Use the clean source image and the annotated reference image. Apply the red arrows, circles, freehand marks, and notes as editing instructions. Remove all annotations in the final output.
Bảng giá GPT Image 2 Generator
Pricing and credits
The annotation canvas itself does not spend credits. Credits are only used when you generate the revised image with GPT Image 2.
Gói Pro
Tạo nhiều hơn với chi phí dài hạn thấp hơn.
Pro Annual Plan
Thanh toán an toàn · credit cộng ngay · gói đăng ký có thể hủy
Quyền lợi Pro
- 48.000 credit ảnh mỗi năm
- Ưu đãi 50% cho GPT Image 2 Standard 1K text-to-image
- Ưu tiên tạo ảnh
- Quy trình riêng tư theo mặc định
- Không quảng cáo
- Xuất ảnh không watermark
- Tăng chi tiết và độ hoàn thiện
- Truy cập sớm tính năng mới
- Ưu tiên tạo hàng loạt (sắp ra mắt)
- Thư viện cloud 6 tháng
- Hỗ trợ ưu tiên
Studio Flagship Plan
Thanh toán an toàn · credit cộng ngay · gói đăng ký có thể hủy
Quyền lợi Studio
- 96.000 credit ảnh mỗi năm
- Ưu đãi 50% cho GPT Image 2 Standard 1K text-to-image
- Ưu tiên tạo ảnh
- Riêng tư cho quy trình thương mại
- Không quảng cáo
- Xuất ảnh không watermark
- Tăng chi tiết mạnh hơn
- Truy cập sớm tính năng mới
- Lịch sử không giới hạn cho tác phẩm đã hoàn tất
- Hỗ trợ ưu tiên
- Giới hạn upload cao hơn cho dự án lớn
Mua khi cần, tạo linh hoạt
Credit dùng ngay, nạp thêm bất cứ lúc nào, không cần đăng ký định kỳ.
Starter Pack
Thanh toán an toàn · credit cộng ngay · gói đăng ký có thể hủy
Phù hợp để thử
- Tạo tới khoảng 200 kết quả Standard 1K text-to-image trong thời gian ưu đãi
- Thoải mái thử prompt và chất lượng
- Tạo từ văn bản và chỉnh từ ảnh tham chiếu
- Có hiệu lực 1 năm
- Tải xuống không watermark
- Bao gồm quyền sử dụng thương mại
Creator Pack
Thanh toán an toàn · credit cộng ngay · gói đăng ký có thể hủy
Nhiều credit hơn, giá tốt hơn
- Tạo tới khoảng 450 kết quả Standard 1K text-to-image trong thời gian ưu đãi
- Giá tốt hơn theo từng credit
- Phù hợp cho quy trình hằng tuần
- Có hiệu lực 1 năm
- Tải xuống không watermark
- Bao gồm quyền sử dụng thương mại
Pro Pack
Thanh toán an toàn · credit cộng ngay · gói đăng ký có thể hủy
Giá trị tối đa
- Tạo tới khoảng 800 kết quả Standard 1K text-to-image trong thời gian ưu đãi
- Giá tốt nhất mỗi credit
- Rất hợp để tạo hàng loạt
- Có hiệu lực 1 năm
- Tải xuống không watermark
- Bao gồm quyền sử dụng thương mại
Credit ảnh hoạt động thế nào
Mức dùng credit phụ thuộc model, độ phân giải, chế độ tạo và tính năng bổ sung.
AI Image Annotation Editor FAQ
Answers about arrows, circles, text notes, credit usage, and final image quality.
What is an AI image annotation editor?
It is a visual image-editing workflow where you mark an image with arrows, circles, drawings, and notes, then ask AI to revise the image based on that feedback.
How is this different from AI inpainting?
Inpainting usually edits one masked region. Annotation-guided editing lets you explain several requested changes across the whole image in one pass.
Will the red annotations appear in the final image?
No. The generated prompt tells GPT Image 2 to use the annotations as instructions and remove all marks from the final output.
Does the annotation canvas use credits?
No. Credits are only spent when you generate the revised image with GPT Image 2.
Keep refining images
Use inpainting for single-area edits, image-to-prompt for analysis, or the generator for a new direction.