How do you review AI-generated images before using them on a website?

A practical question for people using browser-based image tools: how do you decide whether a generated picture is actually useful, rather than merely impressive at first glance? Photorealism can make this distinction harder. A picture may have convincing lighting and still contain a handle that cannot exist, a face with inconsistent details, or packaging that suggests a feature the real product does not have. I think a small, repeatable review process is more valuable than collecting a large pile of attractive outputs without a clear purpose.

Start with the use case

Before writing a prompt, describe the job the image needs to do. A background for a discussion slide has different requirements from an accurate product photograph. An early concept can communicate mood without claiming to document an object. A portrait used as an illustration should not imply that a real person endorsed something. These distinctions change the review criteria. For a concept, composition and atmosphere may matter most. For a product listing, dimensions, materials, controls, and visible text can matter much more than cinematic lighting.

Choose one concrete output size and context. Is the picture a wide banner, a square social post, or a small thumbnail next to text? A composition that looks excellent on a large screen may lose its subject when cropped. It is useful to reserve space for a heading from the beginning rather than squeezing a heading into the final image afterward. Keep important objects away from the edges if the intended placement will crop them differently on mobile and desktop.

Describe the scene, not just the adjective

A prompt consisting only of words such as realistic, beautiful, and professional leaves most decisions unspecified. Try describing the subject, its position, the environment, the light source, and the intended framing. For example, a generic reusable bottle on a plain table near a large window gives the tool a clearer scene than a request for an amazing product image. If the output is an illustration rather than a representation of an actual product, say so in the surrounding copy. Visual polish should not silently turn an imagined object into a factual claim.

For portrait concepts, think about camera distance, expression, background, and lighting before adding a long list of stylistic terms. If a tool accepts a reference image, use one you have the right to upload. Do not assume that finding an image online means permission exists. A reference can also introduce unwanted details, so compare the result with the intended brief instead of treating the reference as automatically authoritative. Avoid using someone's likeness to suggest consent, endorsement, or participation that did not happen.

Keep the first comparison small

Changing six prompt details at once makes it difficult to understand why a result improved. A more manageable experiment is to keep the subject and composition fixed and vary only the lighting, then inspect a few outputs. Record the prompt and a short note explaining what changed. After choosing a lighting approach, compare framing or background separately. This does not make a probabilistic generator deterministic, but it helps you avoid confusing a lucky result with a reliable workflow.

Review at the size of actual use as well as at full size. The large preview is useful for spotting defects, while the final placement reveals readability and balance. A tiny image can hide a broken object, which is not a reason to ignore the defect if the same asset might later appear elsewhere. Conversely, an intricate background that looks interesting when enlarged may compete with the main subject in a small banner. Both views provide different information, and neither should replace the other.

Look for plausible structure

It helps to inspect the image systematically rather than relying on a vague sense that something looks off. Check the relationship between connected parts: fingers and hands, chair legs and seats, handles and containers, buttons and device surfaces. Follow the outline of the main object and look for changes that would be impossible in a physical example. Reflections and shadows should be reviewed as separate details, because they can introduce extra objects or disagree with the visible light source. None of this requires expert photography knowledge; it mostly requires slowing down.

Text is another common source of errors. If lettering, a label, or a logo is necessary, consider whether it should be added afterward in a conventional editor. Generated text that almost resembles a word can be more misleading than visibly decorative marks. Product imagery deserves extra care: do not use an attractive fabricated package as proof of a product's current packaging or contents. A generated scene may be suitable for internal brainstorming while remaining unsuitable as customer-facing evidence.

Separate assets from evidence

There is a useful difference between a creative visual and a screenshot documenting software. A screenshot should show the interface and state that actually existed. A generated mock-up can illustrate a possible direction, but it needs to be presented as a concept. Similarly, a synthetic portrait should not be used as evidence that a named customer, employee, or reviewer exists. The surrounding caption is part of the communication, not an afterthought. Clear descriptions reduce the chance that a viewer interprets a creative asset as documentary material.

An example of the kind of browser tool I mean is Realistic AI Image Generator, available at https://realisticaiimagegenerator.online/. It is designed around creating photorealistic images from text prompts, with an optional reference image for relevant workflows. Portrait ideas, product concepts, and marketing visuals are possible starting points. That description is not a claim that every output is ready to publish. The same review steps still apply, and current access conditions, paid credits, and output permissions should be checked on the tool itself before depending on it for a project.

Keep a simple asset record

For a small project, a spreadsheet or text file can be enough. Record the final filename, the prompt used, the intended placement, the date of the review, and any editing performed afterward. Note whether the asset is a concept, an illustration, or an accurate photograph supplied from elsewhere. If you used a reference, keep track of where it came from and what permission covers it. This prevents a useful draft from being reused months later in a context where its limitations have been forgotten.

Export decisions also matter. A large image is not automatically a better web asset. Check the format, dimensions, and compression against the actual page requirements. Review the exported file, not only the editor preview, because compression can introduce distracting artifacts. Give the image an appropriate text alternative based on its purpose in the page. If it is decorative, the accessibility treatment differs from an image conveying information that is not otherwise available. Avoid filling the alternative text with promotional keywords.

Make the stopping rule explicit

A workflow needs a point where you stop generating and decide whether the result is adequate. Define a handful of checks before starting: correct subject, usable crop, plausible structure, no misleading claims, acceptable file size, and an appropriate caption. If the output fails a critical check, revise the brief or use a different kind of asset. More generations are not always the answer. An ordinary photograph, a diagram, or a clean screenshot may communicate the idea more clearly and honestly.

I would be interested in practical experience from other people building websites or preparing visual material. Which defect do you now check first because it repeatedly slips past an initial preview? Do you compare prompts systematically, or do you use a more informal process? In particular, how do you keep concept images from being mistaken for factual product images when several people are sharing the same asset folder? Those small process decisions seem more useful to discuss than another list of dramatic example pictures.