Free DALL·E Prompt Generator

Start here: paste an idea, get a DALL·E prompt

The generator on this page is preset for DALL·E 3. You type one messy line — "cozy bookshop cat, rainy window" — and it hands back a finished prompt written the way DALL·E likes to read it: complete sentences, concrete nouns, an explicit medium, a lighting note and a framing note.

Everything runs in your browser. No account, no credits, no prompt history parked on someone's server. Copy the output into ChatGPT, into Bing Image Creator, or into an API call. Want a second pass? Run it through the Prompt Optimizer before you spend a generation.

DALL·E 3 reads sentences, not keyword soup

This is the thing that trips up everyone arriving from another tool. Midjourney and Stable Diffusion learned from caption fragments, so comma-stacked tags like "cinematic, 8k, octane render, trending on artstation" genuinely move the needle there. DALL·E 3 learned from long, descriptive, model-written captions. It parses grammar. It tracks relationships between objects. Write "the red mug sits to the left of the laptop, behind a stack of three books" and it mostly obeys — that kind of spatial instruction evaporates in a tag list.

So write prose. Compare a tag dump like bakery, dawn, warm light, photorealistic, 8k, wide shot with this:

The second version isn't longer for the sake of it. Every clause does a job: shot type, subject, time of day, light direction, human action, lens, palette. If you actually need the tag-based syntaxes, our Midjourney prompt generator and Stable Diffusion prompt generator speak those dialects instead.

One more difference: DALL·E 3 has no negative prompt. Type "no people" and you'll sometimes summon a crowd. Describe the empty street you do want. (Negatives still matter elsewhere — that's what the Negative Prompt Generator is for.)

ChatGPT rewrites your prompt behind your back

Inside ChatGPT, DALL·E 3 usually never sees the words you typed. ChatGPT expands them first — it writes a longer, more florid caption and sends that to the image model. That's why a spare, deliberate prompt comes back drenched in dramatic sunsets and lens flare you never asked for.

You can push back:

• Say it flatly: "Use this prompt exactly as written. Do not add details, do not embellish."
• Ask what it actually sent: "Show me the exact prompt you passed to the image tool." Then edit that text and hand it back.
• Be specific to the point of tedium. The rewrite fills gaps, so leave fewer gaps.
• Keep instructions in one message. Split them across turns and earlier constraints quietly drop off.

If you're steering the text side of ChatGPT too, the ChatGPT prompt generator covers that half.

Six things worth describing every single time

Skip any of these and the model picks for you.

• Subject — who or what, plus two or three concrete attributes. "An elderly woman" is thin. "An elderly woman with cropped silver hair and reading glasses pushed up onto her forehead" is a person.
• Composition — close-up, medium shot, wide establishing shot, overhead flat lay, low angle. Say where things sit relative to each other.
• Style — photograph, watercolor, 3D render, flat vector illustration, charcoal sketch, risograph print. Name a medium, not a vibe. "Cinematic" means almost nothing; "shot on 35mm film with visible grain" means a lot.
• Lighting — direction and quality. Backlit, side-lit, overcast diffusion, a single hard studio key with deep shadows, golden hour raking across the floor.
• Color — a named palette outperforms any adjective. "Muted sage green, cream and rust" beats "aesthetic" every time.
• Detail level — say what should stay simple. Otherwise DALL·E 3 fills empty space with clutter.

The guide to writing image prompts goes deeper on each of these.

Text inside the image

DALL·E 3 spells better than almost anything else you can reach for, which is why people use it for posters, packaging mockups, signage and book covers. What helps:

• Put the exact string in quotation marks: the sign reads "OPEN LATE".
• Keep it short. Three or four words land reliably. A paragraph turns to mush.
• Say where the text sits and how it looks: centered, bold condensed sans-serif, hand-painted script across the window.
• One text element per image beats three. Add the rest in a design tool afterward.

Expect to regenerate once or twice. When a single letter comes out wrong, resubmit the same prompt rather than rewriting it — you're waiting on a better roll, not a better description.

Aspect ratios, sizes and framing

DALL·E 3 gives you three shapes: square at 1024×1024, landscape at 1792×1024 (roughly 16:9) and portrait at 1024×1792 (roughly 9:16). There's no --ar flag. In ChatGPT you ask in words — make it landscape, make it vertical for a phone wallpaper — and through the API you set the size parameter.

Pick the shape before you write the prompt, then describe a frame that fits it. Wide formats want environment and breathing room on the sides. Portrait wants a vertical subject and layered foreground-to-background depth. Asking for "a sweeping panoramic landscape" on a square canvas just makes the model fight itself. Cropping later works, but you throw away pixels — choose the ratio your final placement needs.

Where DALL·E 3 stops

Worth knowing before you burn an afternoon:

• Named living people get refused, along with most public figures.
• Living artists' styles are blocked by name. Describe the technique instead: brush behavior, palette, line weight, era.
• Trademarked characters and logos are rejected or quietly mangled.
• Violence, adult content and clinical medical imagery hit the content policy, and the refusal message rarely tells you which trigger you caught.
• Long text, complex charts, precise hand anatomy and exact object counts stay unreliable. "Exactly seven birds" is a suggestion, not a constraint.

Policies shift, so check current OpenAI documentation rather than trusting a blog post from last year. Their prompting guidance is a useful companion read.

Iterate one variable at a time

Here's the habit that separates people who get the image they pictured from people rolling dice: change one thing per generation.

Start from a base prompt that half works. Adjust only the lighting. Look at it. Then only the lens or camera angle. Then only the palette. Rewrite four clauses at once and a worse result teaches you nothing about which clause caused it.

Keep the prompts that worked in a text file and reuse them as skeletons. Same discipline that makes text prompts reliable — how to write AI prompts covers the general method, and the Image Prompt Generator above gives you a clean, DALL·E-shaped starting point every time.