GPT Image API
GPT Image API is OpenAI's advanced image generation service that enables users to create, edit, and customize images through text prompts using models like gpt-image-1, DALL·E 2, and DALL·E 3.
https://platform.openai.com/docs/guides/image-generation?image-generation-model=gpt-image-1&ref=aipure
Product Information
Updated:May 16, 2025
GPT Image API Monthly Traffic Trends
GPT Image API received 22.6m visits last month, demonstrating a Slight Decline of -1.6%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history trafficWhat is GPT Image API
The OpenAI Image API is a powerful platform that provides developers with the capability to generate and manipulate images using natural language instructions. It offers three main models, with gpt-image-1 being the latest and most advanced, featuring superior instruction following, text rendering, and real-world knowledge integration. The API supports various operations including generating images from scratch, editing existing images, and creating variations, all while allowing customization of output parameters such as size, quality, format, and transparency.
Key Features of GPT Image API
GPT Image API is OpenAI's latest image generation platform that allows developers to generate, edit, and customize images through API calls. The service uses the gpt-image-1 model, which offers superior instruction following, text rendering, and detailed editing capabilities compared to previous DALL·E models. It supports various output customizations including size, quality, format, and transparency, while also providing features for image editing with masks and multiple reference images.
Multiple Generation Endpoints: Offers three distinct endpoints: generations for creating images from text prompts, edits for modifying existing images, and variations for creating alternatives of existing images
Advanced Image Editing: Supports inpainting through mask-based editing, allowing precise modifications to specific parts of images while preserving others
Customizable Output Settings: Provides extensive control over output parameters including image size, quality levels, file formats, compression rates, and transparent backgrounds
Reference-Based Generation: Allows use of up to 10 reference images to generate new compositions, making it ideal for creating consistent themed content
Use Cases of GPT Image API
E-commerce Product Visualization: Create professional product images and variations for online stores, as demonstrated by Instacart's use for recipe and shopping list images
Design Tool Integration: Integration with design platforms like Figma and Canva for seamless image generation within existing creative workflows
Content Creation: Generate custom illustrations and images for websites, marketing materials, and social media content with consistent branding
Educational Material Development: Create educational illustrations and diagrams for learning materials and textbooks
Pros
Superior instruction following and text rendering compared to previous models
Extensive customization options for output
Powerful integration capabilities through API
Cons
Higher latency with complex prompts (up to 2 minutes)
Occasional struggles with precise text placement and visual consistency
Cost increases significantly with higher quality and larger image sizes
How to Use GPT Image API
Set up environment: Install the OpenAI Python library and import required modules: from openai import OpenAI, import base64
Initialize OpenAI client: Create OpenAI client instance with your API key: client = OpenAI()
Generate new image: Use client.images.generate() with parameters: model='gpt-image-1', prompt='your text prompt', size='1024x1024' (optional), quality='auto|low|medium|high' (optional), background='transparent' (optional for PNG/WebP)
Edit existing image: Use client.images.edit() with parameters: model='gpt-image-1', image=[open('image1.png', 'rb'), open('image2.png', 'rb')], prompt='your edit instructions'
Apply mask for selective editing: For inpainting, provide mask parameter to images.edit(): mask=open('mask.png', 'rb'). Mask must have alpha channel and be same size as input image
Handle the response: Get base64 image data from result.data[0].b64_json and decode it: image_bytes = base64.b64decode(image_base64)
Save the output: Write decoded bytes to file: with open('output.png', 'wb') as f: f.write(image_bytes)
Configure output options: Customize size (1024x1024, 1536x1024, 1024x1536), quality (low/medium/high), format (png/jpeg/webp), compression (0-100% for JPEG/WebP)
GPT Image API FAQs
The Image API provides three main endpoints: 1) Generations - to generate images from text prompts, 2) Edits - to modify existing images using new prompts, and 3) Variations - to generate variations of existing images (DALL·E 2 only)
GPT Image API Video
Analytics of GPT Image API Website
GPT Image API Traffic & Rankings
22.6M
Monthly Visits
-
Global Rank
-
Category Rank
Traffic Trends: Jun 2024-Apr 2025
GPT Image API User Insights
00:04:32
Avg. Visit Duration
6.03
Pages Per Visit
42.88%
User Bounce Rate
Top Regions of GPT Image API
US: 20.88%
IN: 7.28%
BR: 6.66%
KR: 5.15%
IT: 4.87%
Others: 55.16%
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