Soku AI
All models

Text to image · Image editing · Transparent backgrounds

GPT Image 2.5 AI Image Generator The Model to Use When the Words Have to Be Right

Generate and edit images with OpenAI GPT Image 2.5.

Readable in-image textReference-guided editing
GPT Image 2.5 · 16:9
GPT Image 2.5 · 16:9
A screenprint poster where the type is the subject

See all 19 sample results

Describe the image you want, including any words that have to appear in it. Choose an aspect ratio; the exact credit cost appears before you generate.

  • Words you quote in the prompt are rendered as written
  • Edits stay scoped to the instruction
  • Native transparent backgrounds
  • Up to four reference images per edit
  • Cost shown before every run

Sample result gallery

What GPT Image 2.5 produced on this page

Nineteen runs from the generator on this page, at the same flare tier and quality setting you get. Nothing was retouched, no text was composited on afterwards, and on the three edit pairs the source is itself a GPT Image 2.5 render.

GPT Image 2.5 · 16:9
GPT Image 2.5 · 16:9
imageTypography · poster

A screenprint poster where the type is the subject

Two lines of copy at poster scale, set across a high-contrast four-colour illustration. Nothing here is composited — the letterforms, their spacing and the ink texture behind them all came out of one render.

Source: Our GPT Image 2.5 flare run · quality high · no retouching

GPT Image 2.5 · 16:9
GPT Image 2.5 · 16:9
imageAd creative · price badge

A finished ad, price badge included

The offer is inside the image rather than in the ad caption: headline, product and a legible price badge in one frame, at the contrast a feed placement actually needs.

Source: Our GPT Image 2.5 flare run · quality high · no retouching

GPT Image 2.5 · 16:9
GPT Image 2.5 · 16:9
imageSignage · lighting

Neon signage, letter by letter

Continuous glass tubing is a hard case — every character has to be one unbroken run and still read as a word. The bloom, the wet brick and the coloured reflections come with it.

Source: Our GPT Image 2.5 flare run · quality high · no retouching

GPT Image 2.5 · 16:9
GPT Image 2.5 · 16:9
imageIllustration · dialogue

Two speech balloons and a sound effect

Dialogue has to sit inside its balloon, stay in reading order and survive heavy inking. The sound effect is lettered as artwork rather than typeset.

Source: Our GPT Image 2.5 flare run · quality high · no retouching

GPT Image 2.5 · 16:9
GPT Image 2.5 · 16:9
imageEditorial · spread

A headline that crosses the gutter

The type runs from a flat colour field onto a photograph and has to stay legible over both. Paper grain, print colour and the raking light are one render.

Source: Our GPT Image 2.5 flare run · quality high · no retouching

GPT Image 2.5 · 3:4
GPT Image 2.5 · 3:4
imageTypography · dense text

Five items and five prices, all legible

A menu is the honest test of an image model: every row pairs a name with a number, and one wrong digit makes the whole render useless. Chalk texture and smudging survive alongside the type.

Source: Our GPT Image 2.5 flare run · quality high · no retouching

GPT Image 2.5 · 16:9
GPT Image 2.5 · 16:9
imageSignage · pricing

Hand-painted signs with real prices

Painted lettering is irregular by definition, which is exactly where invented characters usually creep in. Three price signs and a banner, all correct, over produce in full sun.

Source: Our GPT Image 2.5 flare run · quality high · no retouching

GPT Image 2.5 · 16:9
GPT Image 2.5 · 16:9
imageTypography · finish

Gold foil serif under raking light

Foil is a material as much as a typeface: the letterforms have to catch the light along their edges and stay readable in the shadow side of the same word.

Source: Our GPT Image 2.5 flare run · quality high · no retouching

GPT Image 2.5 · 16:9
GPT Image 2.5 · 16:9
imageTypography · small print

Six labelled fields at small print size

The hardest kind of text: small, dense, and meaningless if one field drifts. Each label sits above its own value, the barcode stays on the stub, and the tear line separates them.

Source: Our GPT Image 2.5 flare run · quality high · no retouching

GPT Image 2.5 · 16:9
GPT Image 2.5 · 16:9
imageData visualisation

A chart whose numbers agree with its bars

Twelve labelled bars, twelve value labels and a real axis. The values rise and fall in the shape the labels claim, which is what separates a chart from a picture of one.

Source: Our GPT Image 2.5 flare run · quality high · no retouching

GPT Image 2.5 · 16:9
GPT Image 2.5 · 16:9
imageInterface mockup

A product screenshot that reads as a real interface

Labelled stat tiles, a legend and a plotted series on an 8px grid — the layout logic holds instead of dissolving into decorative UI-shaped noise.

Source: Our GPT Image 2.5 flare run · quality high · no retouching

GPT Image 2.5 · 16:9
GPT Image 2.5 · 16:9
imagePackaging

Three pouches, three correct labels

Packaging has to be repeatable: the same label system in three colourways, each with its own product name and weight, lit as one commercial shot.

Source: Our GPT Image 2.5 flare run · quality high · no retouching

GPT Image 2.5 · 3:4
GPT Image 2.5 · 3:4
imageTypography · poster

A product poster with the headline already set

The wordmark, the sub-line and the small-caps footer are all rendered by the model, correctly spelled and correctly kerned, over a product it also had to light and place.

Source: Our GPT Image 2.5 flare run · quality high · no retouching

GPT Image 2.5 · 3:4
GPT Image 2.5 · 3:4
imageIllustration · labelled

An illustrated plate with working callout labels

Four labels have to land on the four details they name. The style, the aged paper and the plate caption come along with it.

Source: Our GPT Image 2.5 flare run · quality high · no retouching

GPT Image 2.5 · 1:1
GPT Image 2.5 · 1:1
imageTransparent background

An isolated asset on a real transparent background

Generated with a transparent background rather than cut out afterwards, so the enamel edge and the brass rim stay clean when it is composited over anything.

Source: Our GPT Image 2.5 flare run · quality high · no retouching

GPT Image 2.5 · 1:1
GPT Image 2.5 · 1:1
imageProduct photography

Editorial product photography from a prompt

The counterweight to the rest of this sheet: no text at all. One window as the only light source, glaze pooling at the feet, and a long shadow with the right falloff.

Source: Our GPT Image 2.5 flare run · quality high · no retouching

Source render · flat midday
Source render · flat midday
Edited · blue hour
Edited · blue hour
imageEdit · relight

The same shopfront, moved to blue hour

The instruction was time of day and weather only. The building, the window display, the stacked books and the camera position are the ones from the source frame.

Source: Our GPT Image 2.5 flare edit · the source is the render beside it

Source render · studio packshot
Source render · studio packshot
Edited · travertine set
Edited · travertine set
imageEdit · product restage

One bottle, restaged without being redrawn

The product is the part that must not move: same shape, same matte terracotta glass, same unlabelled front. Everything around it — surface, prop, light direction, shadow — is new.

Source: Our GPT Image 2.5 flare edit · the source is the render beside it

Source render · English
Source render · English
Edited · Japanese
Edited · Japanese
imageEdit · localization

A poster localized into Japanese, layout intact

Headline, time and door line all become Japanese at the same weight and optical size, while the arc, the paper, the palette and every type position stay where they were.

Source: Our GPT Image 2.5 flare edit · the source is the render beside it

Features

What the tool actually does

Text that survives the render

Quote the exact words in the prompt and they come back spelled, kerned and placed — headlines, price rows, badges, UI labels and callouts. This is the reason to pick this model over a cheaper one.

Editing that changes one thing

The edit route takes your image plus an instruction and holds the subject, composition and background around it. Name what must not move and it stays put, across several rounds of revision.

Real transparent output

Ask for a transparent background and you get an asset with a genuine alpha channel — no key, no halo, no manual cut-out before it can be composited.

Five aspect ratios, natively

Square, 16:9, 9:16, 4:3 and 3:4 are generated at that shape rather than cropped into it, so a vertical placement is composed vertically.

Three deliberate steps

01

Write the prompt, and quote the words

Describe the scene, then state any text that must appear using the words "reads exactly" followed by the copy. Vague direction produces vague lettering; a quoted string produces the string.

02

Pick the shape and generate

Choose one of the five aspect ratios. The exact credit charge for the run is shown before you submit, and signing in happens in a dialog on this page.

03

Edit it, or take it into Creatives

Switch to the Edit tab to revise the result with a second instruction, or open it in Creatives to resize it for each placement and build variants.

Why Soku

Generate, revise and ship in one workflow

A model playground gives you a file. Soku gives you the next step: sign-in, credits, generation, revision and the handoff into ad creative all happen without leaving the workflow.

Generate directly on this page

Sign-in, credit check, payment and generation happen here. There is no separate playground to move to and no API key to provision.

Revise without starting over

Feed a result straight back through the Edit tab. The subject and layout hold, so a revision is a revision rather than a fresh roll of the dice.

Resize and test as ad creative

Open a finished image in Creatives to produce each placement, then run the variants as ads and let performance decide which one earns the next round.

Use cases

Who reaches for this, and when

Performance creative teams

Put the offer in the image

Price badges, promo copy and CTA text render legibly, so the hook is in the creative itself instead of relying on the ad caption to carry it.

Brand and design teams

Localize a layout without rebuilding it

Hand the edit route a finished piece and a target language. The type changes; the arc, palette, spacing and product do not.

Product and content teams

Illustrate an interface or a concept

Labelled diagrams, field-guide style plates and product screenshots hold their layout logic, which is what makes them usable in a post rather than decorative.

Specifications

GPT Image 2.5 specifications

These are the controls the live endpoint accepts today; the studio above is generated from the same server-owned specification.

Developer
OpenAI, served through fal.ai
Tier
flare — the general-purpose tier
Routes
Text to image · reference-guided edit
Aspect ratios
1:1 · 16:9 · 9:16 · 4:3 · 3:4
Quality
high
Output format
PNG
Backgrounds
Opaque or transparent
References
Up to 4 images on the edit route

Alternatives

GPT Image 2.5 vs. Nano Banana 2

Both are current image models and both are one click apart in Soku. They are different answers to different jobs.

Best for

GPT Image 2.5
Images that must carry readable text
Nano Banana 2
Volume, and everything else

In-image text

GPT Image 2.5
Its main reason to exist
Nano Banana 2
Good, not the specialism

Transparent output

GPT Image 2.5
Yes
Nano Banana 2
No

Edit references

GPT Image 2.5
Up to 4
Nano Banana 2
More

Relative cost per image

GPT Image 2.5
Higher
Nano Banana 2
About 2.6x cheaper

Reach for GPT Image 2.5 when a wrong character makes the render useless. Reach for Nano Banana 2 when you need many images and the words are not the point.

Pricing

GPT Image 2.5 pricing on Soku AI

New users can create an account without leaving the page. Signed-in users see their live credit balance and the exact cost of the run before it is submitted.

Billed per generated image; the edit route costs marginally more

Free

$0/ month

No card required

  • Try the tool on your own asset
  • 1 brand, 1 member

Creator

$19/ month

7,000 credits / month

  • Where most tool-page visitors land
  • Full generation + deploy

Starter

$49/ month

20,000 credits / month

  • Multiple brands and teammates
  • Cheaper per credit than top-ups

If the balance is too low, the page opens the plan and top-up flow. A provider-side generation failure refunds the committed credits. See all plans and the credit calculator.

Questions before you run it

Can I log in, pay and generate directly on this page?
Yes. Press Generate while signed out and the account dialog opens in place. After login the studio shows your current credit balance and this run’s exact cost. If your balance or plan is insufficient, it opens the pricing and upgrade flow; after payment you return to this page and generate through the same form.
What is GPT Image 2.5?
GPT Image 2.5 is OpenAI’s current image model, the successor to GPT Image 2. Soku runs its flare tier — OpenAI’s general-purpose tier — through fal.ai, on both the text-to-image and the reference-guided edit route.
How do I get the text in the image to come out right?
Quote it. Write the words you want using a phrase like "the headline reads exactly:" followed by the copy, and give each string its own line in the prompt. Describing the text ("a bold headline about travel") leaves the model to invent it; quoting it gives the model something to render.
What is the difference between the flare and sunburst tiers?
They are the same price. Flare is OpenAI’s default for most work and is what this page runs: fast, with transparent-background support and strong handling of complex layouts. Sunburst trades generation time for extra fidelity on intricate detail, and is aimed at premium one-off visual work rather than the iteration loop this page is built for.
Does GPT Image 2.5 support transparent backgrounds?
Yes, on both routes. The badge in the gallery above was generated with a transparent background rather than cut out afterwards, which is why its enamel edge and brass rim stay clean when composited.
How many reference images can the edit route take?
Up to four. Put the image the edit is about first — the route treats the first reference as the primary one — and use the others for the product, subject or style you want carried in.
Should I use GPT Image 2.5 or Nano Banana 2?
Use GPT Image 2.5 when a wrong character makes the image unusable: posters with headlines, menus, price badges, UI mockups, labelled diagrams. Use Nano Banana 2 when you need many images, want a wider set of aspect ratios, or the words are not what the image is carrying — it costs roughly 2.6x less per image.
What happens if a paid generation fails?
The generation service records the deduction before submit so ownership and polling remain safe, but a failed provider job is refunded automatically. The studio reports the failure instead of leaving the credits spent with no output.

Generate your first GPT Image 2.5 image with the words already right

Write the prompt, quote the copy that has to appear, and pick a shape. Sign-in, credits and the handoff into Creatives all happen here.

Start with my asset