Detailed images with fine typography

















GPT Image 2 is the latest text-to-image model from OpenAI, built to turn written prompts into richly detailed images with a standout talent for fine typography. Where many image generators stumble on lettering — producing garbled, warped, or nonsensical text — this model is designed to render clean, readable words directly inside the image. That makes it a natural fit for creative work where text and visuals need to live together: posters, packaging concepts, editorial illustrations, signage mockups, and any composition where the words matter as much as the picture.
At its core, GPT Image 2 takes a text description and produces high-detail images. You can write anything from a short phrase to an elaborate, multi-sentence brief — prompts can run very long, giving you room to describe scene, mood, lighting, composition, styling, and the exact wording you want to appear. For example, you can prompt for a realistic photo-style image tied to precise coordinates and a date, which the model interprets to build a believable scene. This responsiveness to detailed, descriptive prompting is one of its strongest creative traits.
The model is flexible about output dimensions. You can choose from convenient presets for square, portrait, and landscape formats, enter your own custom width and height, or hand the decision to the model and let it pick the size that best suits your prompt. Custom sizes support a wide range, with a maximum edge of 3840 pixels, aspect ratios up to 3:1, and a generous pixel budget — so you can create everything from tall portrait pieces to wide cinematic landscapes and large, high-resolution canvases. Both dimensions need to be multiples of 16, which keeps output clean and consistent.
Quality is fully in your hands. You can dial the output to low, medium, or high detail depending on the look you're after, or select an automatic mode that lets the model choose the best quality level for your particular prompt. Higher settings deliver more refined, detailed results, while lower settings are useful for quicker drafts and iteration. This gives you a practical workflow: rough out ideas at a lighter setting, then commit your favorites to high detail for the finished piece.
You can generate up to four images at once from a single prompt, which is ideal for exploring variations and comparing options side by side before choosing a direction. Finished images can be delivered in PNG, JPEG, or WebP formats, so you can match the output to your needs — PNG for crisp graphics and transparency-friendly workflows, JPEG for lighter files, and WebP for a balance of quality and size when preparing images for the web.
Who benefits most? Designers working on layouts, ads, and branding will appreciate the reliable typography and the ability to see words rendered accurately in context. Illustrators and concept artists can lean on the detailed prompt understanding to build intricate scenes. Marketers and content creators can quickly produce visuals for social posts, campaigns, and mockups, generating several variations to test what resonates. Filmmakers and storyboard artists can use it to visualize scenes and moods from written descriptions. Because the model handles both photorealistic-style imagery and text-heavy compositions, it suits a broad range of creative disciplines rather than a single niche.
The combination of features encourages an iterative, exploratory approach. Start with a detailed prompt describing exactly what you want — including any text that should appear — pick a format that matches your intended use, and generate a batch of options. If you want to move fast, lower the quality setting and let the batch guide your direction; when you've found the composition you like, regenerate it at high detail for a polished final. The automatic size and quality options are handy when you'd rather trust the model's judgment than fine-tune every setting yourself.
A few practical notes worth keeping in mind. The quality setting has a real effect on the final look, so it's worth experimenting to find the level that matches each project. Custom dimensions must respect the model's size rules — multiples of 16, a max edge of 3840 pixels, and an aspect ratio no wider than 3:1 — so if a custom size isn't accepted, adjusting to fit those bounds will resolve it. And while the model excels at rendering typography compared to typical image generators, the clearest results come from writing the exact text you want in your prompt and describing how it should appear in the scene.
Overall, GPT Image 2 is a versatile, detail-focused image generator with a signature strength in typography. Whether you're crafting a poster that needs legible headlines, a product concept with readable labels, a photorealistic scene from a precise description, or a set of quick variations to explore a creative direction, it gives you flexible control over size, quality, format, and quantity — all from a single written prompt.
A woman kneeling in darkness, illuminated by a warm, radiant beam of light emerging from her raised hand.
Type a prompt describing your desired image with style, lighting, and composition details
Model understands the physics, lighting, and emotional intent of your scene
Click to generate your final output and download production grade image
Showcases wide cinematic compositions with atmospheric lighting perfect for travel and lifestyle brand storytelling.

Demonstrates intricate typography rendering across signage and reflections in a richly detailed urban night scene.

Highlights realistic interior lighting, textures, and warm atmosphere for home and lifestyle brand visuals.

“High-end studio product photography of premium wireless over-ear headphones in matte black finish. Dramatic three-point lighting with soft key light from upper left, rim light highlighting the ear cup contours, and subtle fill. Clean white seamless backdrop with soft gradient. Sharp focus on texture details of the leather headband and brushed metal accents. Professional advertising quality, 8K resolution, photorealistic rendering.”

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