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How to prove your artwork is not AI

Designers and photographers are being asked to prove authorship. A detector score will not do it. Here is the evidence that does, and how to build it as you work.

· 7 min read · Best AI Image Detector

Process evidence, not a clean score. Layered files, dated intermediate versions and raw captures prove authorship. A low score only says the pixels look ordinary.

Why a clean score proves nothing

Detection is asymmetric. A high score is weak evidence of generation. A low score is not evidence of authorship, because most images in the world are neither generated nor made by you.

It is also fragile in the wrong direction for creators. Retouching, upscaling, noise reduction and generative fill used as ordinary parts of a professional workflow all push scores upward, which means the more finished your work is, the more likely it is to be flagged.

What actually evidences authorship

Every item here is difficult to fabricate after an accusation and trivial to produce if you were working normally. That asymmetry is what makes them persuasive.

Strong

  • Layered working file with edit history
  • Raw camera files with EXIF intact
  • Dated intermediate exports
  • Content Credentials signed at export
  • Screen recordings or timelapse of the work

Weak

  • A low detector score
  • The finished JPEG on its own
  • A verbal account of your process
  • Social posts of the final image only
  • A colleague vouching for you
Weight a panel or a client will give each type of evidence, in practice.

Build the evidence as you work

  1. Keep the layered file, always

    Never flatten and discard. A working document with named layers, adjustment history and the mistakes you corrected is the single most convincing artefact you can produce.

  2. Export three dated progress versions

    Early, middle and near-final. Thirty seconds of work per project, and it demonstrates development rather than a finished object appearing at once.

  3. Keep raw captures with metadata

    Camera raw files carry device, lens, exposure and time. Archive them rather than deleting after export, and do not strip metadata on the way through.

  4. Turn on Content Credentials

    Where your software supports signing at export, use it. A signed manifest is cryptographic rather than statistical, and it is the only evidence in this list that a machine can verify.

  5. Record your tool use

    If you used generative fill to remove a lamppost, note it. Disclosed assistive editing is normal. Discovered assistive editing looks like concealment.

If a client questions a piece

Answer with material rather than argument. Send the layered file and two progress exports before discussing the score at all. Most challenges end there, because the evidence is obviously not something you assembled that afternoon.

Where the client is relying on a detector result, it is fair to ask which tool, which threshold and on which file. A client checking a compressed copy pulled from a proof gallery is checking the worst version in the chain, and saying so politely resolves a surprising number of these.

Put it in the contract

The cleanest fix is contractual rather than technical. A short clause removes the ambiguity that these disputes grow in.

  • State what tools are permitted, including assistive editing, upscaling and generative fill, and whether disclosure is required.
  • Agree what evidence settles a question, naming working files rather than detector scores.
  • Say who checks and on which file, so nobody is scoring a compressed proof.
  • Set a response window, so a challenge does not sit open against your invoice indefinitely.

The reputational side

An accusation does damage before it is resolved, particularly in public. The instinct is to argue in the same place it was made, which almost never helps and usually extends the conversation.

Respond once, with material. Post a short clip of the layered file or the progress versions rather than a paragraph of denial. People who were undecided find that persuasive, and people who were not were never going to be moved by an argument.

Then stop. Continuing to engage keeps the accusation visible and rewards whoever made it with attention. Where a claim is repeated by an account with reach, a direct message with the evidence attached tends to work better than a public reply.

If work or income is genuinely at risk, this becomes a legal question rather than a technical one. A false public accusation of fraud against a professional is actionable in many jurisdictions, and the evidence you kept is what makes that case straightforward.

Questions people ask

My work scored high. Does that mean it looks AI-generated?
It means the fine texture resembles what the model was trained to flag, which retouching, upscaling and noise reduction all produce. A high score on genuinely made work is common and is not a judgement about the piece. Keep the working files and the score stops mattering.
Can Content Credentials prove I made something?
They prove which software signed the file and what it recorded about the edits, which is strong but narrower than authorship. Combined with a layered working file and dated progress versions it is about as close to proof as this gets, and far stronger than any detector output.
Should I avoid AI tools entirely to be safe?
That is a business decision rather than a safety one, and avoidance does not protect you. Ordinary retouching flags images too. Disclosure protects you: state what you used, and a client who accepted the terms cannot reasonably object later.
What if I did not keep the working files?
You are relying on weaker evidence, and it is not hopeless. Original captures, email trails showing revisions, dated drafts sent to the client and browser or app history can together establish a timeline. Start keeping working files from the next project.
Can I put a detector score in my portfolio?
It is not worth much and can invite the argument you were trying to avoid. A low score says the pixels look ordinary, which nobody was disputing. Offering working files on request reads as far more confident.
Are stock libraries checking submissions?
Increasingly, and their thresholds are not published. Contributors report rejections on heavily retouched genuine work, so submit with metadata intact, keep raw files, and use the disclosure fields where the library provides them.
Does keeping working files slow me down?
Barely. Saving the layered document you already had and exporting three progress versions adds under a minute per project. The storage is the only real cost, and it is small against the price of losing one commission to an accusation you cannot answer.