AI image detector

Ideogram detector

Ideogram made its name with readable text inside images — posters, logos, signs, memes and fake screenshots. Drop an image to check whether it was generated.

Free · no sign-up · your file never leaves your device

Drop a poster, sign or graphic, click to choose, or paste

JPEG · PNG · WebP · AVIF · HEIC (Safari) — checked on your device

When the words are the giveaway — or aren’t

For years the easiest way to spot an AI image was to read it: shop signs, book covers and T-shirts were full of letter-like squiggles. Ideogram, launched in 2023 by former Google Brain researchers, was among the first generators to render words reliably, and typography has been its focus since. Today several models write well, but Ideogram remains a go-to for designs where the text is the point.

That shift means readable text is no longer evidence that an image is real. A crisp “CLOSED UNTIL FURTHER NOTICE” sign, a menu board or a protest placard can all be generated in seconds, and they are often shared as photos of real places.

What still gives text-heavy AI images away

  • Too-perfect lettering in imperfect settings. A hand-painted sign with flawless kerning, or text that stays razor sharp on a crumpled surface.
  • Small print breaks down. Headlines are usually right; fine print, URLs, prices and secondary text often turn into near-words.
  • Fonts that drift. A letter shape that changes slightly between two occurrences of the same word.
  • Styled scenes. Designs placed on a mock-up wall, shirt or storefront with lighting that is a little too even.

Alongside these cues, GPTTrace runs its neural classifier and forensic checks. Graphic designs with large flat areas are harder for classifiers than photographic scenes, so expect more “Inconclusive” results for plain posters and logos and more confident ones for text placed in photographic settings.

Checking a meme or screenshot

Memes and screenshots are often edited by hand in ordinary apps, not generated, and a detector can’t tell whether a human typed false words into a real template. For screenshots of conversations or posts, the best check is the source: search for the original post, or ask the person shown in it. Use the AI check here when the image itself — not just its words — might be invented.

Common uses that make text images matter

Text-rendering generators are behind a growing share of fake evidence: images of shop notices announcing closures or policies that never existed, “leaked” memos photographed on a desk, fake product labels and ingredient lists, invented warning signs at tourist sites, and posters for events that aren’t happening. When the text in an image makes a claim, verify the claim at its source — the shop, the organisation, the venue — as well as checking the image.

Logos are a special case: a business that shows a polished logo, website banner and product mock-ups but no real photos of its premises or staff may be a generated storefront rather than a real company.

What Ideogram leaves in a file

These are the traces GPTTrace checks for. “Some files only” means the trace is often missing — a re-save, screenshot or social-media upload removes metadata — so its absence proves nothing.

GeneratorWhereWhat to look forHow reliable
IdeogramPixelsUnusually clean, legible typography — Ideogram’s strength — with no camera EXIFCommonly seen
IdeogramMetadataLittle or no generator metadata on downloadsCommonly seen

How accurate is it? Our measured numbers

We test GPTTrace on labelled image samples and publish the results, including where it does badly. It is tuned to keep false accusations rare, so it misses some AI content rather than flag real work.

image check: AUC 0.938 (cross-validated)

679 labelled samples (399 AI, 280 human), run 2026-10-08. At the “Likely AI” line it caught 64% of AI samples and wrongly flagged 5% of human ones.

SourceTruthSamplesResult at “Likely AI”
gemini-nano-bananaAI4040% caught
midjourney-v6AI4068% caught
midjourney-v5AI4073% caught
flux-devAI4013% caught
flux-schnellAI4048% caught
sdxlAI40100% caught
gpt-imageAI4030% caught
klingAI3997% caught
leonardo-stablecogAI4098% caught
bitmind-imagine-mixAI4080% caught
fullsize-photosHuman4010% wrongly flagged
open-images-photosHuman405% wrongly flagged
lfw-facesHuman400% wrongly flagged
caltech-objectsHuman403% wrongly flagged
coco-photosHuman400% wrongly flagged
ffhq-facesHuman400% wrongly flagged
celeba-facesHuman4018% wrongly flagged

Data sources and method: methodology & accuracy.

Frequently asked questions

What is Ideogram best known for?
Rendering text accurately inside images. Before Ideogram and later models like DALL·E 3, FLUX and ChatGPT’s image generator, AI images were famous for garbled lettering. Ideogram made typography a selling point, which is why it is popular for posters, T-shirt designs, logos and thumbnails.
Does Ideogram add metadata to its images?
Ideogram downloads generally carry little or no generator metadata that outside tools can read, so identification usually relies on the pixel classifier and visual cues. If a future version adds Content Credentials, GPTTrace will read them automatically.
Why would a fake sign or screenshot matter?
Images of signs, notices, product labels and chat screenshots are persuasive because they look like documents. Generated versions are used for jokes, but also for fake store policies, invented official notices and fabricated messages.
Can it detect AI-generated logos?
It can score them, but logos and flat graphics are hard for every detector because they share little with photographs or paintings. Treat a result on a simple vector-style logo as weak evidence either way.