How to Spot AI-Generated Text and Images
Learning how to spot AI-generated content is becoming an everyday skill. Text, pictures and even voices produced by AI can look convincing, and they spread quickly on social media, in reviews, in emails and in search results. No single trick works every time, and the tools that claim to detect AI are far from perfect. Still, there are patterns worth knowing, along with a routine that checks the source and the context rather than relying on gut feeling. This guide covers the common signs in text and in images, the limits of detectors, a step-by-step verification routine and what to do when you are still unsure.
Signs in text
AI-written text is usually fluent and tidy, which is exactly why it can feel strangely empty. Look for these patterns, remembering that humans also write this way sometimes:
- Generic statements: broad claims with no names, dates, places or personal details.
- Even structure: every paragraph is the same length, and sections follow a predictable pattern such as an opening, three points and a neat conclusion.
- Hedging and filler: frequent phrases that sound balanced but say little.
- Repetition: the same idea restated in different words.
- Errors in facts or sources: invented quotes, statistics without a source or references that do not exist, a problem explained in AI hallucinations: why they happen.
- Missing experience: no real story, no mistakes, no opinion that could be disputed.
Signs in images
Image generators have improved fast, and older tricks such as counting fingers do not always work now. Still, scan for these clues:
- Hands, teeth and ears: extra, merged or oddly shaped parts.
- Text in the picture: signs, labels and logos with garbled or misspelled letters.
- Lighting and shadows: shadows that point in different directions, or reflections that do not match.
- Backgrounds: objects that melt into each other, repeated patterns or crowds with strange faces.
- Skin and surfaces: unnaturally smooth skin, hair that blends into the background or jewelry that does not match.
- Details that do not fit: a watch with no hands, a bridge that leads nowhere or glasses that merge with the face.
For video and audio, see how to fact-check deepfake videos and how to spot AI-generated scams and deepfakes.
Why AI detectors are not enough
Detection tools estimate the likelihood that something was machine-made, but they make mistakes in both directions. They can flag human writing, especially from people writing in a second language or in a formal style, and they can miss text that has been edited. Image detectors can be fooled by compression, screenshots and small edits. Treat a detector score as one clue, never as proof, and never use it alone to accuse a student, a writer or an employee.
A verification routine
- Check the source. Who published this, and do they have a track record? Look for an author, contact details and a history.
- Search for the original. Use a reverse image search to find earlier versions of a picture and see whether it appeared before in another context.
- Look for corroboration. Do trusted outlets or primary sources report the same thing?
- Check the date and place. Does the weather, clothing or signage fit what is claimed?
- Look for content credentials. Some cameras and tools attach information about how a file was made. Its absence proves nothing, but its presence can help.
- Ask the creator. Request the original file, notes or a behind-the-scenes explanation.
- Pause before sharing. Emotional or shocking material is often designed to spread before it is checked.
A worked example
Hana sees a dramatic photo of a flooded city square shared with a claim that it happened yesterday. The signs on the shops look slightly garbled, and the reflections in the water do not match the buildings. She runs a reverse image search and finds no earlier source, and no news outlet reports the flood. She replies to the post asking for the original and decides not to share it. A few hours later, the poster admits the image was generated. Her routine took five minutes and kept a false claim from spreading.
Common mistakes
- Relying on a single clue, such as one odd finger.
- Assuming polished writing means AI or sloppy writing means human.
- Trusting a detector score without further checks.
- Sharing first and verifying later.
- Accusing someone publicly without solid evidence.
Quick checklist
- Is there a named, reliable source?
- Can you find the original or an earlier version?
- Do details inside the content match each other?
- Do other trusted sources confirm it?
- Would you be comfortable if you were wrong after sharing?
Frequently asked questions
Can anyone reliably tell AI content from human content?
Not always. Careful checking of sources and context is more dependable than judging style alone.
Is AI-generated content always bad?
No. It is fine when used honestly. The problem arises when it is used to deceive or when it contains unchecked errors.
Should I label my own AI-assisted work?
Where it matters to your audience, clients or rules, yes. Transparency builds trust.
