Last December, I blogged about the fact that images generated by artificial intelligence (AI) online are deceiving viewers and make it challenging for people to tell what is real and fake. AI tools are being used every day for quick researching, creating videos, creating voiceovers, creating artworks and making photo-realistic images of humans randomly.
The widespread use of AI on visuals is fooling people. That said, there is a need to prepare ourselves by spotting images online that are AI-generated so that the deception can be halted. I found a useful technology guide published by VnExpress.
To put things in perspective, posted below is an excerpt from the VnExpress technology guide. Some parts in boldface…
Experts recommend checking watermarks and metadata, running reverse image searches, assessing image quality, and spotting visual inconsistencies to identify AI-generated images online.
Look for watermarks – Many AI-generated images include visible watermarks, often placed in a corner. Others contain invisible identifiers embedded in the image data. Google, for example, uses its SynthID system to insert hidden watermarks into images created by its Gemini model. Users can upload an image to Gemini on the web and ask whether it was made by AI, allowing the system to detect the SynthID marker if present.
Reverse image search – Reverse image searches can quickly reveal whether an image has been flagged as AI-generated. By right-clicking an image and selecting “Search with Google Lens,” users may see warnings in search results. Google and OpenAI have begun embedding metadata into AI-generated images, which can appear as labels during image searches, according to Android Authority.
Another labeling system is developed by the Coalition for Content Provenance and Authenticity, supported by companies including OpenAI, Adobe, and Google. Websites such as Content Credentials allow users to upload images for analysis to check for evidence of AI creation. While these checks do not guarantee authenticity, they can identify many AI-generated images and, in some cases, indicate which model produced them.
Check image quality – Image specifications can also be revealing. Tech site PCMag notes that AI-generated images are usually compressed and produced at relatively low resolutions. High-resolution images with minimal compression, particularly RAW files, are unlikely to be AI-generated. By contrast, low-quality JPEG files, such as those at 720p resolution, fall within the typical output range of AI image generators.
Look beyond the main subject – AI can often produce a convincing main subject, but background details tend to expose weaknesses. According to Popular Science, AI-generated scenes may include logical errors such as staircases leading nowhere, misplaced architectural features, or doors that do not connect to functional spaces. These inconsistencies occur because AI systems imitate visual patterns rather than understand real-world physics and spatial logic.
Text remains one of the clearest indicators of AI-generated imagery. Printed or handwritten words are often blurry, distorted, or nonsensical. Letters may appear readable at a glance but break down under closer inspection. Images containing large amounts of clear, consistently rendered text are less likely to be AI-generated.
For added insight, watch the videos posted below and pay close attention to the details.
Finally, take a look at the AI-generated image below.
Let me end this post by asking you readers: What is your reaction to the widespread use of AI on making videos, still images and artworks that have been scattering online? Are you concerned that the more AI is abused on making images, the more people will get fooled? Are you pro-active in determining if the image or video you see online is real or fake? Are you concerned that AI tools will be used for identity theft and criminal activities?
You may answer in the comments below. If you prefer to answer privately, you may do so by sending me a direct message online.
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