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Typography Prompting with Ideogram 4.0

How to prompt Ideogram 4.0 for headlines, logos, packaging and signage: hierarchy, style words over font names, and what changed in the API, verified Sep 2, 2026, plus 26 copy-paste templates.

NH
Nafiul Hasan
Founder, Prompt Architects

TL;DR: Ideogram typography prompting comes down to five habits: quote the exact string, keep it short, name the typographic style instead of a font, state placement and hierarchy, and describe what the text sits on. Ideogram 4.0's own generate endpoint dropped seed and negative_prompt from its previous version, so plan comparisons differently, and proofread every render at 100% zoom regardless.

What actually changed in Ideogram 4.0's prompting rules?

Ideogram 4.0 shipped on June 3, 2026 as, in the company's own words, "Our first open-weight foundation model": a 9.3B-parameter single-stream Diffusion Transformer trained from scratch, with a vision-language text encoder and structured JSON prompts. (ideogram.ai/blog/ideogram-4.0, accessed Sep 2, 2026) The older Ideogram 3.0 endpoints are still live at developer.ideogram.ai, and that matters, because 4.0 quietly removed two things a typography workflow leans on.

Checked directly against developer.ideogram.ai's OpenAPI specification on Sep 2, 2026: Ideogram 3.0's /v1/ideogram-v3/generate accepts a seed integer from 0 to 2,147,483,647, described as "Random seed. Set for reproducible generation." Ideogram 4.0's /v1/ideogram-v4/generate request body has no seed field anywhere in it. Yet the object the API returns for each image, ImageGenerationObjectV4, lists seed as a required response field, with that identical 0-to-2,147,483,647 range. You can read the seed the model used; you cannot hand it one going in.

Negative prompts moved the same way. Ideogram 3.0's negative_prompt field still carries this exact caveat: "Descriptions in the prompt take precedence to descriptions in the negative prompt." Ideogram 4.0's generate endpoint has no negative_prompt field, and no equivalent. Its structured alternative, the json_prompt object, describes a scene as a list of positive elements; there is no field anywhere in that schema for what should be absent.

Verified directly against developer.ideogram.ai's OpenAPI specification, accessed Sep 2, 2026.
FeatureIdeogram 3.0 generateIdeogram 4.0 generate
Seed you can set in the request
Seed the response still requires
negative_prompt field
aspect_ratio field
Resolution options69 fixed pixel sizes38 fixed pixel sizes
Structured JSON prompt contract

Practically: if your typography workflow depended on locking a seed and swapping one word to A/B test a headline, that exact move isn't available on 4.0's own endpoint (more on the workaround below). And if you're carrying over a habit of writing "no serif, no drop shadow" into a negative-prompt field, that field is simply gone on 4.0. The rest of this piece works from plain-language prompts, which is still the fastest way to iterate on a single line of text, and treats the JSON contract as what you reach for once a layout has to survive more than one render.

Why does word order decide your hierarchy?

Ideogram's own guidance is direct about this: "Ideogram tends to give slightly more importance to parts placed earlier in the prompt." (docs.ideogram.ai, in-a-nutshell, accessed Sep 2, 2026) Its structure guide goes further, naming the exact place text belongs: the "Main subject details" section, of which it says, "This is also the best place to include any text you want rendered in the image." The instruction that follows: "Enclose the exact wording in quotation marks" and "place it early in the prompt." (docs.ideogram.ai, 3-prompt-structure, accessed Sep 2, 2026)

That gives you the ordering rule for hierarchy: whatever text carries the most visual weight in the finished piece goes first and in quotes, then the next tier down, then everything that isn't text at all. For a poster that's headline, subhead, background and style, in that order, every time. Skipping straight to "a poster in vintage style" and hoping the model infers that the headline should dominate the subhead is asking it to guess a hierarchy you never stated.

Multi-line layouts need one more habit. Ideogram's docs are explicit: "If you're trying to generate more than one line of text, split the content into sections with specific placement instructions." That is the fix for running two lines together and hoping the model separates them correctly on its own. If a layout has to hold across reruns rather than just once, the JSON contract's bbox field gives each text element its own box on a normalized 0-to-1000 grid, which is the mechanical version of the same instruction: one element, one place, no ambiguity.

How do you name a typographic style without naming a font?

Because you cannot name a typeface, you need a working vocabulary for describing one. Ideogram's own worked examples make the point by holding everything else constant and changing only the style words: the same test word set in bold sans-serif, in ultra thin sans-serif, and in a thin, refined formal script with flourishes, produces three visibly distinct results from otherwise identical prompts. (docs.ideogram.ai, text-and-typography, accessed Sep 2, 2026) The family name gets you in the right neighborhood; the modifiers do the rest.

FamilyWhat it signalsModifiers that combine well
Serifauthority, editorial, print heritagehigh-contrast, bracketed, slab, condensed
Sans-serifcontemporary, clean, digital-nativegeometric, humanist, ultra thin, heavy, tight tracking
Slab serifindustrial, sturdy, retro-modernchunky, monospaced, rounded corners
Scripthandwritten, personal, formal inviteflowing, formal, casual brush, flourished
Condensed / displayposter impact, headline weightultra-bold, stacked, tracked-out

Naming the reason you learned this matters: Ideogram's docs say plainly that its "AI doesn't use real fonts to generate images the same way you use font in your computer." So when you ask for a style, it renders what it learned that style looks like across thousands of examples, not an actual typeface file. (docs.ideogram.ai, text-and-typography, accessed Sep 2, 2026) A font name gives it nothing to match against; a style description gives it a target.

What should the text actually sit on?

Contrast decides legibility before anything else about the letterforms does, and it is a sentence you have to write, not an assumption the model makes for you. Say what's behind the text: a flat color field, a textured paper stock, a blurred photograph, a solid painted wall. Ideogram's own tip runs the same direction from the opposite angle: "Reduce visual complexity if possible. The more intricate the rest of the scene, the harder it is for the AI to cleanly render text." A busy background doesn't just compete with the letters visually; it makes the letters themselves harder to generate correctly.

What's the right prompt template for your specific text job?

Each template below leads with the exact wording in quotes, states a typographic style rather than a font, and says what the text sits on. Swap the quoted strings and the palette and go.

Logo-style wordmark

A wordmark study on a flat white background. The word "MERIDIAN" is set in a
high-contrast serif with sharp bracketed serifs and a heavily weighted stem,
centred. Letterforms are tightly kerned, no icon, no background scene. Single
deep navy ink on white. Lighting is flat and even. Wide, symmetrical margins.
Clean vector-style edges, no texture.
A circular badge wordmark on a cream background. The text "PORTLAND ROASTING
CO" follows the outer ring in small spaced sans-serif capitals. In the centre,
"EST 2019" sits in a compact slab serif on two lines. Forest green ink on
cream only. Flat lighting, no gradient, no drop shadow.
A single-word wordmark study on a flat pale grey background. The word
"KESTREL" is set in a condensed geometric sans-serif, all caps, with the
crossbar of the second "E" extended into a thin horizontal line beneath the
whole word. Charcoal ink only, centred, no icon, no scene. Flat even
lighting, wide margins on all sides.

Poster with a headline

A screen-printed event poster with visible paper grain. The headline "NIGHT
MARKET" is set in heavy condensed sans-serif capitals, tight tracking,
spanning the top third. Beneath it the subhead "Every Friday until October"
sits centred in a lighter weight of the same family. A single stylised lantern
occupies the lower half. Flat cream background. Palette: ink black, cream,
one tomato red. Flat lighting, symmetrical layout.
A moody film-style one-sheet with deep shadow and heavy grain. The headline
"SALT FLATS" is set in wide-spaced thin sans-serif capitals across the lower
third. Above it, the subhead "A film about staying put" sits small and
centred in the same family. A lone silhouette stands against an empty
horizon in the upper two-thirds. Desaturated dusk gradient background.
Backlit, long shadow toward the viewer.
A retail promo card in flat vector style. The headline "40% OFF" fills the
upper half edge to edge in extremely heavy geometric sans-serif. Beneath it
the subhead "This weekend only" sits in a medium weight of the same family.
Solid saturated orange background with a subtle circular halftone burst
behind the headline. Flat lighting, no shadow, left-aligned margins.

Quote card

A minimal quote card on a textured off-white ground. The text "You cannot
proofread your own work" is set in a large humanist serif across the centre,
broken over three lines with a ragged right edge. Below it the attribution
"— Anon" sits small and right-aligned. No illustration. Faint linen weave
in the background. Warm off-white and charcoal palette. Flat, even lighting.
A dark-mode social quote card. The text "Discipline is choosing what you
want most over what you want now" is set in a clean geometric sans-serif,
centred, broken over four short lines. Below it a thin rule separates the
attribution "— Client onboarding notes" in a smaller weight. Solid charcoal
background, single warm gold accent line. No texture, no gradient.
A printed quote card on textured kraft paper. The text "Slow is smooth,
smooth is fast" sits centred in a bold slab serif, broken over two lines.
Below it the attribution "— Studio notes, week 3" runs small in a lighter
weight of the same family. Warm kraft-brown background with visible fibre
texture, flat directional lighting from the left.

Packaging copy

A product label mockup on a matte glass jar. The word "PRESERVES" appears in
a tall condensed serif across the top third of the label in deep plum ink.
Beneath it, "Fig & Rosemary" sits in a lighter script-adjacent serif on one
line. A small line of type reads "Small batch, no added sugar" near the
bottom edge in a plain sans-serif. Cream label stock, flat studio lighting.
A snack pouch front-of-pack mockup on a flat white background. The brand
name "FIELDGRAIN" is set in a bold rounded sans-serif across the upper
third. Below it the flavour name "Sea Salt & Vinegar" sits centred in a
lighter weight. A single line near the bottom reads "Baked, not fried" in
small caps. Matte kraft-brown pouch material, flat even lighting, no glare.
A metal tin lid mockup, top-down view. The word "PEPPERMINT" curves along
the top edge of the lid in a tall condensed serif, following the circle.
Centred beneath it, "Hand-rolled" sits in a smaller plain sans-serif on one
line. Brushed silver metal background, flat overhead lighting, subtle
specular highlight along the rim.

Book or album cover

A literary paperback cover on a flat matte background. The title "THE LONG
WAY BACK" is set in a tall serif with high stroke contrast, stacked on two
lines across the upper third. Below it, "a novel" sits small in a light
italic serif, centred. The author name "R. Okonkwo" runs along the bottom
edge in the same serif family, small caps. Deep teal background, no cover
image, generous negative space.
A minimalist album cover on a solid colour field. The album title "STATIC
BLOOM" is set in an ultra-thin geometric sans-serif, left-aligned across two
lines in the lower third. The artist name "Reverie" sits small above it in
the same family. Solid dusty-rose background, no imagery, flat lighting,
generous margins.

Sign or storefront in a scene

A photograph of a hand-painted café awning at street level, golden hour
light. The awning reads "CORNER BREW" in tall condensed serif capitals,
painted dark green on cream canvas. A smaller line beneath reads "Coffee,
pastry, no wifi" in a plain sans-serif. Weathered brick wall in soft focus
behind. Warm directional light from the low sun, slight canvas texture.
A photograph of a neon bar sign glowing in a dark storefront window at
night. The sign spells "THE QUIET ONE" in a thin cursive script, warm
amber neon tubing against black glass. Reflected wet pavement in the
foreground, blurred street lights behind. Low ambient light, strong glow
falloff around the tubing.
A photograph of a chalkboard sandwich sign outside a farmers market stall.
The board reads "TODAY'S BREAD: Sourdough, Rye" in loose hand-lettered
chalk script, white chalk on dark slate. A simple drawn wheat sheaf sits
beside the text. Soft overcast daylight, slight chalk dust texture on the
board's surface.

UI text in a mockup

A mobile app onboarding screen mockup on a plain white background. The
headline "Set up your workspace" sits centred in a medium-weight geometric
sans-serif near the top third. Below it, one line of body text reads "Takes
about two minutes" in a lighter grey weight of the same family. A single
rounded button below reads "Get started" in bold white text on a solid blue
fill. Flat lighting, generous white space, no icons.
An empty-state illustration for a mobile app, flat background. Centred text
reads "No results yet" in a medium sans-serif, with a smaller line beneath
reading "Try a different search" in a lighter grey weight. A simple line-art
magnifying glass sits above the text. Soft off-white background, flat even
lighting, no drop shadow.

Handwritten or script lettering

A greeting card front on textured cream cardstock. The words "Happy
Anniversary" are written in a flowing, casual brush script with slight ink
bleed at the stroke ends, centred. A single thin hand-drawn line curls
beneath the text. Warm cream background, soft even lighting, no other
illustration.
A formal wedding invitation layout on ivory cardstock. The line "Together
with their families" sits small and centred in a light serif above the main
text "Amara & Julian" set in a tall, formal copperplate-style script with
fine flourishes. A thin engraved-style rule separates the two lines. Flat,
even studio lighting, generous margins.

Multi-line layout

A vertical event flyer on a two-tone background. Three separate lines,
placed top to bottom: "LIVE MUSIC" in bold condensed capitals across the
top, "Friday, 9pm" in a lighter weight of the same family centred beneath
it, and "No cover before 10" in small caps near the bottom edge. Hard
diagonal colour split behind the type: charcoal over warm yellow. Flat
lighting, crisp edges.
A recipe card layout on a soft grid background. The title "Weeknight
Miso Soup" runs across the top in a medium serif. Beneath it, on a
separate line, "Serves two, 20 minutes" sits small in a plain sans-serif.
A short ingredient count, "6 ingredients," sits in the bottom-right corner
in the same small sans-serif. Pale sage background, flat even lighting.

Text in a non-Latin script

A minimalist poster mockup, flat cream background. A placeholder headline
reads "[TITLE IN TARGET SCRIPT]" set large and centred, described only as
"bold, high-contrast lettering" rather than a named script. A single thin
rule sits beneath it. Flat lighting, wide margins, no other elements, ready
for the real characters to be set by hand afterward.
A product label mockup with a bilingual layout. The English line "Sea Salt
Caramel" sits centred in a clean serif across the upper half. Beneath it,
a placeholder line reads "[LOCAL LANGUAGE LINE]" in a matching lighter
weight, to be replaced with correctly set type for the target script.
Cream label stock, flat even lighting.

One layout as a JSON prompt

The template above stops being a sentence and becomes a schema the moment a layout needs to survive more than one render. Ideogram 4.0's V4JsonPrompt has three top-level keys: high_level_description, style_description, and compositional_deconstruction. Inside the last one, each element is either type: "obj" or type: "text", and a text element carries the literal string in its own text field, separate from a desc field describing how it should look. The bbox is four integers, [y_min, x_min, y_max, x_max], on a grid normalized to 1000 regardless of the final resolution. Confirmed directly against the schema on developer.ideogram.ai, there is no field anywhere in this contract for excluding something: every element you add is something the model should render.

{
  "high_level_description": "A minimalist paperback cover for a literary novel, no cover image.",
  "style_description": {
    "art_style": "flat, editorial, high negative space",
    "lighting": "flat, no gradient, no shadow",
    "color_palette": ["#1C3A3A", "#F2EDE4"]
  },
  "compositional_deconstruction": {
    "background": "Solid deep teal field, no texture, no imagery.",
    "elements": [
      {
        "type": "text",
        "bbox": [120, 100, 340, 900],
        "text": "THE LONG WAY BACK",
        "desc": "Tall serif with high stroke contrast, stacked on two lines, cream ink, centred."
      },
      {
        "type": "text",
        "bbox": [880, 350, 940, 650],
        "text": "R. Okonkwo",
        "desc": "Small caps, same serif family, lighter weight, centred near the bottom edge."
      }
    ]
  }
}

Why does Ideogram still misspell words, even now?

Ideogram's own documentation walks through a real example: a martini poster where the model doubled a letter, rendering "Martinii" instead of "Martini." (docs.ideogram.ai, text-and-typography, accessed Sep 2, 2026) That's the failure mode worth planning around: not gibberish, but a plausible near-miss, a doubled letter, a dropped stroke, a mangled ligature, exactly the kind of thing that survives a quick glance and only shows up when someone reads the word on purpose. Ideogram's own guidance names the mechanism: "The longer the text you want to include, the higher the chance of spelling errors," likened to a group photo where more people in the shot means a higher chance someone blinks.

Even the model's strongest published number comes with a caveat worth knowing. Ideogram 4.0 scores 0.97 on the X-Omni English OCR benchmark it publishes for in-image text accuracy, but in the company's own blind designer-preference arena, 4,366 pairwise votes ranked GPT Image 2 first overall at 1141 ELO, with Ideogram 4.0 second at 1062. (ideogram.ai/blog/ideogram-4.0, accessed Sep 2, 2026) A vendor publishing a result where a rival wins is worth taking seriously rather than skipping past. For the mechanics of why text rendering fails across image models generally, why is the text in my AI image garbled covers the diagnosis in more depth than fits here.

The rule that follows: proofread every render at 100% zoom, every time, not the thumbnail. And if the piece is going to print or to a client, don't ship generated pixels as the final type. Generate the composition, then set the actual words in Figma, InDesign or whatever tool your team already trusts, over the generated background. You keep the art direction and lose the spelling risk entirely.

Can you still seed-lock a before-and-after comparison?

Not on Ideogram 4.0's own endpoint, for the reason covered above: no seed parameter in the request. If a locked comparison matters more to you than 4.0's rendering quality, Ideogram 3.0's endpoint still accepts one, 0 to 2,147,483,647, described the same way: "Set for reproducible generation." The more common workaround on 4.0 is to render a small batch of the same prompt and pick the cleanest result rather than trying to isolate one variable at a time the way a seed lets you. Reproducibility across image models generally, including what a seed does and does not promise even where it exists, is covered in image generation seed: what reproducibility actually promises.

Does Ideogram 4.0 still have a negative prompt?

Ideogram 3.0 does; Ideogram 4.0's own generate endpoint doesn't. On 3.0, the field exists but is documented as deliberately secondary to the main prompt. On 4.0, there is no field to fall back on, so the fix is the one Ideogram's guide already recommends for negatives generally: describe the positive opposite of what you want excluded. Their own examples: not "no people in the room" but "an empty room with chairs neatly arranged"; not "a beach without people" but "an empty beach at sunrise". (docs.ideogram.ai, 4-handling-negatives, accessed Sep 2, 2026) For a headline that keeps sprouting an unwanted flourish, "clean unornamented letterforms with flat terminals" works better than trying to negate the flourish directly. How negative prompts are handled, or aren't, across other image and video models is covered in the negative prompt support matrix.

Turning this into something you don't rewrite every time

None of the above survives past one project unless you keep it somewhere. That's the specific gap Prompt Architects fills, and it's worth being precise about what that does and doesn't mean here: we don't generate images. We generate, structure and store the prompt. Image prompt generation turns a rough line like "poster for a night market" into the quoted-text, hierarchy, style and background structure this piece walks through; it's a Pro-and-up feature, separate from the Free plan's five daily prompt enhancements. The Prompt Library keeps a template like the ones above as a saved item, and variables let you leave the headline, palette and aspect ratio as fields you fill per job instead of retyping the sentence.

If you also work in Midjourney and need to know when each tool actually wins for a given job, Ideogram vs Midjourney covers the split by task rather than by marketing claim.

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A short checklist before you generate

  1. Is the exact text in quotation marks, placed early in the prompt?
  2. Is the typographic style named by family and weight, never by a font brand?
  3. Is the hierarchy stated in words: headline, then subhead, then background?
  4. Have you said what the text sits on, and does it contrast cleanly?
  5. Is the whole prompt comfortably under about 150 words?
  6. If the layout has to repeat exactly, are you in JSON mode rather than plain text?
  7. Have you looked at the actual letters at 100% zoom, not the thumbnail?

Six of those come straight from what Ideogram documents about its own model. The seventh is the one every other rule on this page exists to protect.

Frequently asked questions

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Works with ChatGPT, Claude, Gemini, Grok, Midjourney, Ideogram, Veo3 & Kling. 4.8★ on the Chrome Web Store.

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