I maintain Check AI Free. This revision corrects the earlier article's privacy and forensic-verification claims.
An AI-generated profile photo and a fraudulent account are different questions. A person can knowingly use an illustration or generated portrait. A camera photo can be stolen. A detection score cannot establish who controls an account, whether a candidate is qualified, or whether their story is true.
Start with the actual file
Use the original image when it is available and you have permission. A social profile screenshot is a new image with a different processing history. Keep its source page and surrounding context separately; do not treat the screenshot as a complete record of the original file.
The profile-photo guide helps organize image review. The tool observes editable source fields and can request a general pixel-model estimate when needed and available. It does not perform a dedicated iris, ear or identity check. It does not identify the exact model or verify C2PA signatures.
Keep uncertainty visible
Camera metadata can be copied or edited; absent fields can result from routine export. A completed model score can be wrong. A service failure is not evidence that a photo is real. Our current evaluation does not justify a validated overall accuracy claim.
In a hiring context, use a consistent, proportionate process. Ask for clarification when appropriate, compare independent information and give the person an opportunity to explain. The LinkedIn review checklist treats the image as one piece of context. Do not reject or accuse someone solely because a detector flags a portrait.
Understand image handling
The website checks embedded source clues locally first. It may then send the first 64 KiB of the file and, for a model check, a smaller redrawn metadata-free JPEG to the backend and its provider. A direct image URL is retrieved by our server. The general detector therefore does not keep every image byte on the device. See the current privacy explanation before selecting a sensitive image.
What our screenshot experiment actually shows
In an exploratory batch of eight licensed photographs, camera fields were present in the originals and absent from our specified metadata-free JPEG export and browser screenshots. The study gives the exact settings, sources and limits. It is a local field-retention experiment, not a study of social platforms, identity fraud or detector accuracy.
For a disputed image, seek the original and independent context. Read the method and limitations alongside any result.
Disclosure: I maintain the linked tool. This correction was prepared by an AI agent from the project's current implementation and experiment records.
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