Fake bank statement detector
A free online fake bank statement checker for landlords, lenders, and employers. Upload a PDF or photo and get an authenticity score with the specific red flags behind it — tampering, font mismatches, balance errors, and metadata anomalies.
How to read the authenticity score
A 0–100 score with the specific red flags and green flags behind it, so you can see what the checker found rather than trust a number.
Likely authentic
Consistent fonts, correct balance arithmetic, standard formatting. No suspicious signals detected.
Needs review
Some anomalies found — could be a low-quality scan, unusual bank format, or actual tampering. Check the red flags.
Likely fabricated
Multiple fraud signals detected — inconsistent fonts, balance errors, or metadata showing document editing tools.
What the AI checks
Six layers of analysis — font, formatting, math, patterns, layout, and metadata.
Font consistency
Multiple fonts or irregular spacing indicate editing
Number formatting
Decimal alignment, commas, and currency symbols
Balance arithmetic
Running balance should match debits and credits
Transaction patterns
Suspiciously round numbers or unnatural spacing
Document layout
Headers, footers, and margins matching bank templates
PDF metadata
Creation tool, timestamps, and modification history
What a bank statement verification tool can and can't confirm
“Verify this with the bank” is the advice everyone gives and almost nobody can follow — most banks will not confirm a statement to a third party. These are the four options you actually have, and what each one proves.
AI authenticity screen
Free first check · ~30 seconds
Proves: The file has not been edited since the bank produced it — catches tampering, balance errors, font swaps, and editing-tool metadata.
Limit: Cannot confirm the account exists or that the balance is real today.
Applicant logs into their banking app in front of you
Free · Minutes
Proves: The account is real and the balance and transactions match what was submitted, right now.
Limit: Leaves you no retained record, and requires the applicant to be present and willing.
Regulated open-banking feed
Per-report fee · Minutes to a day
Proves: Transaction data read straight from the bank’s API with the account holder’s consent. The strongest evidence available to a third party.
Limit: Needs the applicant to complete a consent flow; not every bank is covered.
Statement requested from the bank directly
Varies · Days to weeks
Proves: Authoritative — the document comes from the source.
Limit: Banks will generally not confirm a statement to a third party under privacy law. In practice only available via the account holder.
The practical sequence for most reviewers: run the AI screen on every file, and only escalate to a live login or an open-banking check when the screen surfaces something. Screening first keeps the expensive step rare.
How landlords and letting agents verify tenant bank statements
Forged bank statements are the most common document fraud in rental applications. Run a quick AI screen before committing to a tenancy.
Applicant submits statement
Ask for a PDF or photo of their bank statement. Supports any bank worldwide — Chase, Barclays, HSBC, and thousands of regional banks.
AI screens for tampering
Checks font consistency, balance arithmetic, transaction patterns, and PDF metadata. Flags the specific red flags, not just a pass/fail.
Get a score with evidence
Authenticity score from 0–100 with listed red flags and green flags. Use it as one signal in your decision — alongside income and references.
Important:This tool is a screening aid, not a legal determination. For high-stakes decisions, request statements directly from the applicant's bank or use a regulated referencing service.
How to spot a fake bank statement: six red flags
The AI detector checks all of these in seconds, but knowing what to look for manually helps you trust the result. For the full forensic walkthrough — all 12 red flags, how professionals verify, and what to do when a statement fails your check — see the guide to spotting a fake bank statement.
Balance math doesn’t add up
Opening balance + credits − debits should equal closing balance to the penny on every page. Forgeries often miss this when rows are inserted or amounts edited.
Font or spacing changes mid-document
Real bank PDFs render every transaction with the same font, weight, and spacing. Edited PDFs frequently show subtle font swaps, kerning changes, or misaligned columns near tampered rows.
PDF metadata producer is wrong
Real statements list a banking PDF engine (e.g., "Adobe PDF Library", "iText", "Apache FOP"). If the producer field shows Microsoft Word, Pages, Photoshop, or Canva — the file was created or edited outside the bank.
Outdated bank logo or branding
Banks rebrand every few years. A statement dated 2025 with a 2019 logo is a major flag. AI cross-references the visual mark against the bank’s current branding.
Round-number transactions clustered together
Fabricated income often shows as repeating round numbers ($2,500.00, $2,500.00, $2,500.00) on the same day or weekday. Real payroll deposits vary by tax adjustments and are rarely perfect round numbers.
Closing balance suspiciously high vs activity
A balance that suddenly jumps with no matching deposit, or a closing balance that doesn’t match any prior period, is one of the easiest tells.
Want to check the metadata yourself first? The free PDF creation date checker reads a statement's creation date, modification date, and producer software in your browser — no upload needed.
Document fraud detection when you review bank statements at volume
Checking one statement is a judgement call. Checking forty a month is a process — and the process is what determines whether you catch anything. Five things that separate a working screening step from a box-ticking one.
Standardise what you accept
Require a PDF downloaded from the banking app — not a screenshot, not a photo of a screen, not a re-scanned printout. Every one of those strips the metadata and font layer that makes tampering detectable in the first place. A policy that accepts screenshots is a policy with no fraud detection in it.
Screen every file, not just the ones that feel off
Selective checking produces two problems at once: you miss the forgeries that look tidy, and you create a defensibility gap if anyone asks why one applicant was checked and another wasn’t. Uniform screening is both more accurate and easier to justify.
Fix a score threshold before you start
Decide in advance what each band means for your process — for example: 80+ proceeds, 40–79 requires a second income source, below 40 goes to a live check. Deciding case by case is how a screening step turns into a gut call.
Keep the evidence, not just the verdict
Record the score, the specific flags raised, and the date. A declined application backed by "balance arithmetic failed on page 2, PDF producer was Microsoft Word" is a documented decision. "It looked fake" is not.
Escalate on the file, not the person
A low score is grounds to request a live login or an open-banking check — it is not proof of fraud and shouldn’t be presented as one. Statements fail screens for dull reasons too: bad scans, unusual regional formats, statements re-exported by an accountant.
Free bank statement checker vs enterprise verification tools
Enterprise document fraud detection tools (Ocrolus, Inscribe, Plaid Verify) are built for high-volume regulated workflows. This tool is built for fast first-pass screening when you don’t need an integration. Full breakdowns: vs Ocrolus · vs Inscribe.
| What you compare | This tool | Enterprise alternatives |
|---|---|---|
| Free first-pass screening | Yes — no signup, no card | Paid plans only ($99–$500/mo) |
| PDF + image (photo) support | Both | Usually PDF only |
| Authenticity score 0–100 | Yes, with itemized red flags | Pass/fail or proprietary score |
| Setup time | Zero — paste-and-upload | API integration, 1–2 weeks |
| Best for | Landlords, small lenders, ad-hoc checks | Banks, large fintech, regulated lenders |
More than just categories
Real financial clarity from your bank statement.
Subscription tracker
Find the charges you forgot about
AI scans every transaction and flags recurring payments, including charges you may not recognize at first glance.
- Detects monthly, annual, and weekly charges
- Shows your true monthly subscription cost
- Spots free trial conversions before they auto-renew
Subscription tracker
Find the charges you forgot about
AI scans every transaction and flags recurring payments, including charges you may not recognize at first glance.
- Detects monthly, annual, and weekly charges
- Shows your true monthly subscription cost
- Spots free trial conversions before they auto-renew
AI Insights
Your finances, explained by AI
Get a personalized breakdown of spending habits and anomalies. AI reads every transaction and tells you what actually matters.
- Highlights unusual spending spikes
- Tracks month-over-month trends
- Summarizes financial health in plain English
AI Insights
Your finances, explained by AI
Get a personalized breakdown of spending habits and anomalies. AI reads every transaction and tells you what actually matters.
- Highlights unusual spending spikes
- Tracks month-over-month trends
- Summarizes financial health in plain English
Smart recommendations
Not generic tips — your tips
Every recommendation is based on your actual transactions. See the pattern behind the suggestion and its estimated monthly impact, not vague budgeting advice.
- Ranks changes by potential monthly impact
- Names the transaction pattern behind each tip
- Gives you a concrete next action to review
Potential monthly savings
$227/mo
Potential monthly savings
$227/mo
Smart recommendations
Not generic tips — your tips
Every recommendation is based on your actual transactions. See the pattern behind the suggestion and its estimated monthly impact, not vague budgeting advice.
- Ranks changes by potential monthly impact
- Names the transaction pattern behind each tip
- Gives you a concrete next action to review
Analyze your own statement
Upload a PDF, get a categorized report preview in 30 seconds.
Statement analyzer pricing
Pro
For heavy files and repeat work
- 200 PDF pages per billing cycle
- Unlimited visible transactions per report
- Subscription and recurring charge detection
- Priority support
Business
For lenders, accountants, and teams processing at volume
- 500 PDF pages per billing cycle, then $0.08/page
- REST API access with your own keys
- Unlimited visible transactions per report
- Priority support
FAQ