AI-generated documents
Receipts and invoices produced by image generators. They look genuine to a person; the model view shows the generator fingerprint.
AI-powered document fraud detection.
Docklands AI is AI-powered document fraud detection. Our own models find the fingerprint image generators leave in grain, print and light, plus the manual tampering and digital edits that metadata checks miss.
app.docklands.ai/documents/RCPT-0882
THE HARBOUR KITCHEN
Looks genuine to a personTasting menu x6510.00
Chablis x3186.00
Service90.00
TOTAL€786.00
THE HARBOUR KITCHEN
Generator fingerprint · 0.97Tasting menu x6510.00
Chablis x3186.00
Service90.00
TOTAL€786.00
From one image to a verdict.
Read the image, not the file
Every document is analysed as an image, whether it arrived as a PDF, a scan or a phone photo. Metadata is a hint, not the evidence.
Look for the generator
Our own models look for the fingerprint image generators leave in paper grain, print and lighting.
Look for the hand and the edit
Correction fluid, handwritten digits and overwritten totals; cloned digits and pasted lines, found pixel by pixel.
Show the evidence
Each finding is pinned to the place on the document where it was found, with a confidence score.
Three ways a document gets faked.
Generated, tampered by hand, or edited in software. Each leaves different traces.
Manual tampering
Correction fluid, a handwritten digit over the original, an overwritten total. Compare the photo with what our model sees.
Digital edits
Cloned digits and pasted lines. Two prices that share identical pixels are flagged as a cloned region.
200+ invoice checks
Every number, date, bank detail and address: VAT format, line items add up, IBAN checksum, business at address and more.
Why metadata can’t catch an AI fake.
- A generated receipt can be saved, printed and photographed. Its metadata then looks like any other phone photo.
- Metadata is easy to strip or forge, so a clean file proves nothing.
- The traces that matter are in the pixels: grain, print, light and the edges of edited digits.
- That is why Docklands AI inspects the document image itself, then cross-references every file on the claim.
What the metadata says
- DeviceiPhone camera
- Created14/09/2026 18:02
- Edited withnone
- VerdictLooks clean
What the pixels say
- Generator fingerprint0.97
- Total re-written0.91
- Cloned digits2 regions
- VerdictHigh risk
See what Docklands AI finds in your own documents.
Your first 1,000 documents are checked free.
How to tell if a document is AI generated
People look for spelling mistakes, odd fonts or totals that don’t add up. Modern image generators rarely make those mistakes any more. A generated restaurant receipt can have the right layout, plausible prices and a convincing paper texture.
What generators still leave behind is statistical: the way paper grain repeats, how ink sits on the page, how light falls across a crumpled receipt. Those traces are invisible to a reviewer but consistent enough for a model trained to find them. Docklands AI runs its own models for exactly this, and shows the result as a model view next to the submitted image.
Fake receipt detection for claims, expenses and invoices
Fake receipts turn up wherever a document triggers a payment: insurance claims, employee expenses, supplier invoices and loan applications. The same checks apply in each: is the image generated, has it been tampered with by hand, has it been edited in software, and does what it says hold up against 200+ checks.
Findings come back with a risk score and the evidence located on each document, so the person reviewing it can see why it was flagged rather than trusting a black box.
AI-powered document fraud detection in your existing workflow
Documents reach Docklands AI the way they already reach you: by REST API, email forwarding, SharePoint or Google Drive. Integration by API takes under 30 minutes, and email needs no integration at all.
The median time to a verdict is 43 seconds, so documents can be checked as they arrive rather than in a review backlog. Results go back to your claims system, case manager or inbox, and when fraud is found the report is emailed with the evidence attached.
FAQ
AI-generated document questions.
How can you tell if a receipt is AI generated?
AI-generated receipts show statistical patterns in paper grain, ink placement and light fall that are invisible to human reviewers but consistent enough for trained models to detect. Modern generators produce visually convincing receipts but leave these fingerprints behind.
What are the risks of AI-generated invoices and receipts?
AI-generated invoices and receipts enable fraud at scale: fake repair invoices in insurance claims, fabricated supplier bills in accounts payable, fake receipts for employee expenses and synthetic proof of purchase for warranty claims. They look perfect to reviewers and pass metadata checks.
Can Docklands AI detect AI-generated receipts and invoices?
Yes. Our own models look for the fingerprint image generators leave in grain, print and light, which a person cannot see.
Does it work on photos and screenshots, not just PDFs?
Yes. Documents are analysed as images, so phone photos, scans, screenshots and PDFs are all checked the same way.
Why not just check the file metadata?
Metadata is easy to strip or forge. A generated receipt that has been photographed has metadata like any other photo.
Does it also catch manual tampering?
Yes. Correction fluid, handwritten digits, overwritten totals, cloned digits and pasted lines are all detected on the image.
Still have a question? Ask us on a call. Book a call
Send us the receipt you don't trust.
We'll show you whether it was generated, tampered with or edited, and where on the document the evidence is.