Free tool · Descriptor decoder
What's that charge?
Paste any mystery charge from your statement and get the likely merchant, category & next step — free, no signup, 10 seconds.
Start with the free manual tool. If you want the real document view after that, analyze a statement PDF.
Choose The Right Tool
Need the simpler unknown-charge version?
Use the unknown-charge explainer when the query is framed around a weird bank line rather than billing-descriptor terminology.
Open unknown-charge explainer →Need recurring merchant context?
Use recurring charges when the descriptor looks like a subscription or a repeated merchant and the pattern matters more than one line.
Open recurring-charge tool →Need the full statement context?
Use the analyzer when you want nearby transactions, repeated charges, and wider statement patterns to confirm the merchant.
Analyze a statement PDF →Free tool
Decode one billing descriptor before you inspect the full file
The tool focuses on one descriptor at a time. That keeps it useful for search intent without replacing the value of the full analyzer, which is seeing the whole statement context.
Descriptor explainer
Paste one raw line from the statement. This tool is for one descriptor, not the whole document.
Card purchase, bill, or outgoing movement
Looks like an Amazon retail, marketplace, Prime, digital, or Whole Foods descriptor. Common variants: AMZN MKTP, AMAZON.COM, AMZNPrime, Amazon RETA, Amazon Digital, AMZN Digital Svcs.
Best manual read from the pasted descriptor.
Pattern-match confidence, not a guarantee.
Check Amazon order history, digital orders, Prime renewals, Subscribe & Save shipments, and family member purchases.
Usually legitimate, but the underlying merchant may be hidden or abbreviated.
Natural next step
Descriptor lookup first, statement-level answer next
If the descriptor still looks ambiguous, the next useful move is uploading the full statement so you can see nearby transactions, repeated patterns, and other lines that make the merchant easier to identify.
What it gives you
Fast enough for a first pass
Each tool is intentionally narrow. The job here is a clean estimate, not a fake replacement for a full statement analysis.
Built for descriptor intent
Works well for raw processor-style or abbreviated merchant lines copied straight from a statement.
Good for first-pass triage
Can hint at likely subscription, wallet, or payment-processor patterns before you do a full investigation.
Strong handoff to full context
Naturally leads into full statement analysis because one line is rarely enough to close the question for good.
Who this is for
This is a merchant-descriptor lookup tool, not a guarantee that one line alone can explain the whole charge.
People searching weird bank descriptors
Useful when a statement line looks cryptic and you want a fast first-pass read before you call the bank or dispute it.
Shoppers checking processor labels
Good for lines that look like PayPal, Stripe, Shopify, Fiserv, Square, or other processor-heavy merchant strings.
Support and ops teams
Fast enough for customer-facing triage when someone only has a copied descriptor, amount, and date.
Charge-decoder traffic
Strong fit for people landing from descriptor or unknown-charge search intent who are not ready for full statement analysis yet.
Deeper context
Why descriptor lookup is useful but limited
A billing descriptor can give a strong hint, but processors and abbreviations often hide the real merchant behind a shorter label.
Processors often appear instead of the brand
Stripe, Square, Shopify, PayPal, and Fiserv descriptors often tell you how the charge was processed, not exactly where it came from.
Recurring context matters
One line can look random in isolation. The same descriptor repeating monthly is often what tells you it is a subscription or ongoing service.
Nearby transactions add clarity
Amount, date, and neighboring lines in the statement often make a merchant much easier to identify than the descriptor alone.
Supporting guides
Read the article version if you want more context
The tool gives you the quick read. These posts explain the thresholds, use cases, and document expectations behind the result.
FAQ