Create image edit

$ openai images edit

POST/images/edits

Creates an edited or extended image given one or more source images and a prompt. This endpoint supports GPT Image models (gpt-image-1.5, gpt-image-1, gpt-image-1-mini, and chatgpt-image-latest) and dall-e-2.

ParametersExpand Collapse

--image: string or array of string

The image(s) to edit. Must be a supported image file or an array of images.

For the GPT image models (gpt-image-1, gpt-image-1-mini, gpt-image-1.5, gpt-image-2, gpt-image-2-2026-04-21, and chatgpt-image-latest), each image should be a png, webp, or jpg file less than 50MB. You can provide up to 16 images.

For dall-e-2, you can only provide one image, and it should be a square png file less than 4MB.

--prompt: string

A text description of the desired image(s). The maximum length is 1000 characters for dall-e-2, and 32000 characters for the GPT image models.

--background: optional "transparent" or "opaque" or "auto"

Allows to set transparency for the background of the generated image(s). This parameter is only supported for GPT image models that support transparent backgrounds. Must be one of transparent, opaque, or auto (default value). When auto is used, the model will automatically determine the best background for the image.

gpt-image-2 and gpt-image-2-2026-04-21 do not support transparent backgrounds. Requests with background set to transparent will return an error for these models; use opaque or auto instead.

If transparent, the output format needs to support transparency, so it should be set to either png (default value) or webp.

--input-fidelity: optional "high" or "low"

Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.

--mask: optional file path

An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where image should be edited. If there are multiple images provided, the mask will be applied on the first image. Must be a valid PNG file, less than 4MB, and have the same dimensions as image.

--model: optional string or ImageModel

The model to use for image generation. One of dall-e-2 or a GPT image model (gpt-image-1, gpt-image-1-mini, gpt-image-1.5, gpt-image-2, gpt-image-2-2026-04-21, or chatgpt-image-latest). Defaults to gpt-image-1.5.

--n: optional number

The number of images to generate. Must be between 1 and 10.

--output-compression: optional number

The compression level (0-100%) for the generated images. This parameter is only supported for the GPT image models with the webp or jpeg output formats, and defaults to 100.

--output-format: optional "png" or "jpeg" or "webp"

The format in which the generated images are returned. This parameter is only supported for the GPT image models. Must be one of png, jpeg, or webp. The default value is png.

--partial-images: optional number

The number of partial images to generate. This parameter is used for streaming responses that return partial images. Value must be between 0 and 3. When set to 0, the response will be a single image sent in one streaming event.

Note that the final image may be sent before the full number of partial images are generated if the full image is generated more quickly.

--quality: optional "standard" or "low" or "medium" or 2 more

The quality of the image that will be generated for GPT image models. Defaults to auto.

--response-format: optional "url" or "b64_json"

The format in which the generated images are returned. Must be one of url or b64_json. URLs are only valid for 60 minutes after the image has been generated. This parameter is only supported for dall-e-2 (default is url for dall-e-2), as GPT image models always return base64-encoded images.

--size: optional string or "256x256" or "512x512" or "1024x1024" or 3 more

The size of the generated images. For gpt-image-2 and gpt-image-2-2026-04-21, arbitrary resolutions are supported as WIDTHxHEIGHT strings, for example 1536x864. Width and height must both be divisible by 16 and the requested aspect ratio must be between 1:3 and 3:1. Resolutions above 2560x1440 are experimental, and the maximum supported resolution is 3840x2160. The requested size must also satisfy the model’s current pixel and edge limits. The standard sizes 1024x1024, 1536x1024, and 1024x1536 are supported by the GPT image models; auto is supported for models that allow automatic sizing. For dall-e-2, use one of 256x256, 512x512, or 1024x1024. For dall-e-3, use one of 1024x1024, 1792x1024, or 1024x1792.

--user: optional string

A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more.

ReturnsExpand Collapse

images_response: object { created, background, data, 4 more }

The response from the image generation endpoint.

created: number

The Unix timestamp (in seconds) of when the image was created.

background: optional "transparent" or "opaque"

The background parameter used for the image generation. Either transparent or opaque.

"transparent"

"opaque"

data: optional array of Image { b64_json, revised_prompt, url }

The list of generated images.

b64_json: optional string

The base64-encoded JSON of the generated image. Returned by default for the GPT image models, and only present if response_format is set to b64_json for dall-e-2 and dall-e-3.

revised_prompt: optional string

For dall-e-3 only, the revised prompt that was used to generate the image.

url: optional string

When using dall-e-2 or dall-e-3, the URL of the generated image if response_format is set to url (default value). Unsupported for the GPT image models.

output_format: optional "png" or "webp" or "jpeg"

The output format of the image generation. Either png, webp, or jpeg.

"png"

"webp"

"jpeg"

quality: optional "low" or "medium" or "high"

The quality of the image generated. Either low, medium, or high.

"low"

"medium"

"high"

size: optional "1024x1024" or "1024x1536" or "1536x1024"

The size of the image generated. Either 1024x1024, 1024x1536, or 1536x1024.

"1024x1024"

"1024x1536"

"1536x1024"

usage: optional object { input_tokens, input_tokens_details, output_tokens, 2 more }

For gpt-image-1 only, the token usage information for the image generation.

input_tokens: number

The number of tokens (images and text) in the input prompt.

input_tokens_details: object { image_tokens, text_tokens }

The input tokens detailed information for the image generation.

image_tokens: number

The number of image tokens in the input prompt.

text_tokens: number

The number of text tokens in the input prompt.

output_tokens: number

The number of output tokens generated by the model.

total_tokens: number

The total number of tokens (images and text) used for the image generation.

output_tokens_details: optional object { image_tokens, text_tokens }

The output token details for the image generation.

image_tokens: number

The number of image output tokens generated by the model.

text_tokens: number

The number of text output tokens generated by the model.

image_edit_stream_event: ImageEditPartialImageEvent { b64_json, background, created_at, 5 more } or ImageEditCompletedEvent { b64_json, background, created_at, 5 more }

Emitted when a partial image is available during image editing streaming.

image_edit_partial_image_event: object { b64_json, background, created_at, 5 more }

Emitted when a partial image is available during image editing streaming.

b64_json: string

Base64-encoded partial image data, suitable for rendering as an image.

background: "transparent" or "opaque" or "auto"

The background setting for the requested edited image.

"transparent"

"opaque"

"auto"

created_at: number

The Unix timestamp when the event was created.

output_format: "png" or "webp" or "jpeg"

The output format for the requested edited image.

"png"

"webp"

"jpeg"

partial_image_index: number

0-based index for the partial image (streaming).

quality: "low" or "medium" or "high" or "auto"

The quality setting for the requested edited image.

"low"

"medium"

"high"

"auto"

size: "1024x1024" or "1024x1536" or "1536x1024" or "auto"

The size of the requested edited image.

"1024x1024"

"1024x1536"

"1536x1024"

"auto"

type: "image_edit.partial_image"

The type of the event. Always image_edit.partial_image.

image_edit_completed_event: object { b64_json, background, created_at, 5 more }

Emitted when image editing has completed and the final image is available.

b64_json: string

Base64-encoded final edited image data, suitable for rendering as an image.

background: "transparent" or "opaque" or "auto"

The background setting for the edited image.

"transparent"

"opaque"

"auto"

created_at: number

The Unix timestamp when the event was created.

output_format: "png" or "webp" or "jpeg"

The output format for the edited image.

"png"

"webp"

"jpeg"

quality: "low" or "medium" or "high" or "auto"

The quality setting for the edited image.

"low"

"medium"

"high"

"auto"

size: "1024x1024" or "1024x1536" or "1536x1024" or "auto"

The size of the edited image.

"1024x1024"

"1024x1536"

"1536x1024"

"auto"

type: "image_edit.completed"

The type of the event. Always image_edit.completed.

usage: object { input_tokens, input_tokens_details, output_tokens, total_tokens }

For the GPT image models only, the token usage information for the image generation.

input_tokens: number

The number of tokens (images and text) in the input prompt.

input_tokens_details: object { image_tokens, text_tokens }

The input tokens detailed information for the image generation.

image_tokens: number

The number of image tokens in the input prompt.

text_tokens: number

The number of text tokens in the input prompt.

output_tokens: number

The number of image tokens in the output image.

total_tokens: number

The total number of tokens (images and text) used for the image generation.