How to Tell If an Image Is AI-Generated: 6 Ways to Check

Wondering how to tell if an image is AI-generated? Start by looking for visual inconsistencies, and use an AI image detector. Neither method is foolproof, but together they can help you judge whether an image is likely to be AI-generated.

6 Ways to Check If an Image Is AI-Generated

A single method may not be reliable enough to check if an image is AI-generated. The following six checks can help you spot suspicious details.

Quick Glance at the Methods and What They Can Reveal

1. Look for Inconsistencies in the Image

Modern generators usually get hands, text, and faces right, so clues like six fingers, strange teeth, or garbled text are no longer reliable.

Start by examining the image as a whole. Check whether the lighting, reflections, and shadows appear consistent. For example, a person standing beside a window might cast a shadow that doesn’t match the apparent direction of the sunlight.

These clues do not prove an image was generated by AI, but they show you where to look more closely.

2. Check Fine Details at Full Resolution

An image can look convincing as a thumbnail but reveal problems when you zoom in. Look at areas such as:

• Background: Check whether background objects like furniture, people, or architecture look consistent with each other.
• Object boundaries: Look for details that blend unexpectedly into nearby objects or appear disconnected from their surroundings.
• Repeated elements: Check whether objects repeat with identical features, or whether details change between copies.

Even real images can have imperfections, especially after compression or editing. Treat fine-detail inspection as one part of the verification process.

3. Use Reverse Image Search

Reverse image search can help you find out where an image has appeared online and whether other versions exist. You can use Google Lens to upload an image and find similar images, related webpages, and other instances of the same picture.

For example, a candidate submits a headshot that also appears on an unrelated stock photo website. This may require further investigation into the candidate’s identity.

Reverse image search shows an image’s history, not how it was created. An AI image may have no earlier online matches, and a genuine photograph may also be difficult to trace.

4. Look for AI Watermarks, Metadata, and Other Provenance Signals

An image’s metadata or provenance information may offer clues about how it was created, captured, or edited.

EXIF (Exchangeable Image File Format) metadata commonly stores details such as camera model, capture settings, and timestamps. You can inspect available information using image properties or metadata tools.

However, AI-generated images may contain metadata too, and genuine photographs can have their metadata removed during editing or sharing.

Two other provenance technologies are worth understanding:

1. SynthID: Google’s SynthID embeds an invisible watermark in supported AI-generated media. The SynthID Detector checks supported images, videos, and audio files for this signal. Since October 2026, anyone can sign in and use it.
2. Content Credentials (C2PA): Content Credentials record a file’s origin and history, including the tool that created it and the date, and whether AI was used to generate or edit it. Their availability depends on the tool and process used to create the image. For example, you can use OpenAI Verify to check supported images for provenance signals associated with OpenAI tools.

These signals cannot identify every AI-generated image, and a missing signal does not establish that an image is genuine.

5. Use an AI Image Detector

If visual inspection and provenance checks don’t give you a clear answer, an AI image detector can provide another signal. Depending on the detector, these tools can pick up pixel-level artifacts, compression patterns, suspect areas, and manipulation boundaries.

The tool may return a likelihood or confidence score that shows how strongly the signals support its assessment. A high-confidence result warrants closer attention, and an inconclusive result may require additional checks.

Upload the image, review the result, and weigh it with the other evidence before coming to a conclusion.

6. Verify the Image’s Context

Look at where the image came from and how it’s being presented. The surrounding information may reveal inconsistencies that aren’t obvious from the image itself.

Check for:

• Source: Does the account, website, or person sharing the image have a credible history?
• Caption: Does the caption or description accurately explain the image?
• Date and location: Do these details match other reliable information about the event or person?

For example, if a photograph is presented as evidence of a recent event, check the date and location and verify them independently.

Contextual checks do not determine whether an image was generated by AI, but they do show whether it is credible.

Check If an Image Is AI-Generated with Diopter’s AI Image Detector

Diopter’s AI image detector provides a practical way to analyze an image for signs of synthetic generation.

Upload a JPG, PNG, or WEBP file of up to 200 MB, and the tool analyzes it and returns a result in under 60 seconds. Your first detection is free, with no sign-up required.

Diopter examines pixel-level artifacts, compression inconsistencies, and fingerprints associated with known image generators. The detector is trained against Midjourney, ChatGPT’s GPT-Image, Google’s Nano Banana and Gemini 3 Pro Image, Flux, Stable Diffusion XL, Sora Image, and StyleGAN, with continuous updates.

The results include:

• Verdict: Whether the image is Likely Synthetic or Real (no AI).
• Confidence and detection score: How strongly the available signals support the result.
• Detailed report: More information about the analysis and individual detection signals.

A snapshot of the results looks like this. Sign up for the free plan to see a signal-by-signal breakdown of up to 5 reports per month.

How Accurate Is Detection?

AI image detectors cannot identify every synthetic image with certainty. Their results depend on the image, the generator, and any other available signals.

Diopter’s confidence score indicates how strongly the analysis supports its assessment that an image is synthetic. A score of 80% or higher is a reason to hold the image for further review, and a score between 50% and 79% calls for a closer look.

These are recommended review thresholds, not guarantees of accuracy. A result showing no synthetic media detected doesn’t necessarily mean the image is genuine.

What to Do When You Suspect an Image Is AI-Generated

Knowing how to tell if a photo is AI-generated starts with recognizing that even a realistic-looking image is not proof of authenticity. If an image raises questions:

1. Examine the lighting, shadows, textures, and object shapes.
2. Zoom in to inspect fine details.
3. Use reverse image search.
4. Check available metadata, watermarks, and provenance information.
5. Use an AI image detector to assess the image.
6. Verify the source, caption, date, location, and claims associated with the image.

Combining independent signals can help you decide whether the image needs further investigation.

Frequently Asked Questions