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Document fraud detection for risk teams

Stop fraudulent documents before they cost you

Hesper AI detects forged invoices, falsified payslips, and manipulated bank statements — flagged and explained before they reach your team.

94% detection accuracy<0.3% false positive rate

invoice_oct_2024.pdf

Scanning…

Risk score

—

Verdict

—

Trusted by teams building with documents

Stripe

Rippling

Ramp

Brex

Coupa

and 40+ teams

99.1%

detection accuracy

<80ms

per document

The Problem

AI-generated fraud is invisible to traditional tools

$0.0T

Lost to fraud annually

Global losses from financial document fraud each year

Involve manipulated docs

Of fraud cases feature forged or altered documents

0 days

Average detection lag

How long fraud goes undetected without AI-powered screening

The difference Hesper makes

Without Hesper

Invoice received

OCR processes

Approved & paid

Audit flags fraud

Fraud discovered 23 days later · $47k already paid

With Hesper

Invoice received

Hesper AI scans

Flagged & blocked

Fraud blocked in 78ms · $0 exposure · full audit trail

How it works

From submission to verdict in under 80ms

Step 01

Document submitted

Any document your team receives — invoice, payslip, bank statement, ID — gets routed through Hesper before it enters your workflow. No changes to your existing process.

Accepts PDF, PNG, JPG

Step 02

Multi-layer analysis runs

Pixel forensics, metadata inspection, font fingerprinting, and semantic checks run in parallel. Our models detect edits invisible to the human eye — in under 80 milliseconds.

Pixel · Metadata · Font · Semantic

Step 03

Verdict delivered

A fraud score from 0 to 100, exact pixel coordinates of manipulated regions, and structured findings your compliance team can act on — with a full, auditable explanation.

Score · Regions · Audit trail

<80ms

Analysis latency

94.2%

Detection accuracy

<0.3%

False positive rate

Documents stored

Product

Every edit leaves a trace, we find it.

Hesper runs before your OCR layer — meaning fraud is caught at the pixel level, before software interprets the numbers as legitimate. Editing a single digit is enough to trigger detection.

Pre-OCR interception

Catches edits before your pipeline reads them.

Explainability score

Every verdict comes with structured evidence.

Pixel-level detection

Invisible edits aren't invisible to us.

Region highlighting

Know exactly where to look.

Drop-in integration

One endpoint. Works in any stack.

Use Cases

Built for every team that touches documents

Fake receipts and inflated invoices slip past finance teams every day

Employees submit manipulated receipts or altered vendor invoices knowing that OCR and rule-based checks only read the numbers — they don't question whether the document was tampered with. Hesper catches the edit before reimbursement is triggered.

Explore this use case →

1 in 5

expense claims contain some form of manipulation

8.5%

of annual revenue lost to expense fraud on average

Testimonials

What early partners say

“

We ran Hesper on 3 months of historical expense data and found $47K in fraudulent claims we'd already approved.

Sarah Chen

Head of Finance Operations, Series B SaaS company

“

The pre-OCR approach is genuinely novel. We integrated the API in an afternoon.

James Wright

CTO, Fintech infrastructure startup

“

Explainability was the dealbreaker for us. Our compliance team needs to see why a document was flagged.

Priya Nair

VP Compliance, Digital lending platform

Trust & Accuracy

Accuracy your team can stake their reputation on

Trained on millions of real fraud cases. High sensitivity, low noise.

94.2%

Detection accuracy

Across all document types and manipulation techniques

<0.3%

False positive rate

<80ms

Analysis latency

Detection accuracy by category

Invoice fraud96%

Bank statement alteration94%

Payslip manipulation91%

ID document forgery97%

SOC 2 Type II (in progress)Zero document retentionGDPR-ready

Connects to your existing stack

Workday

SAP

NetSuite

QuickBooks

Rippling

Coupa

Concur

Sage

API-first means no UI changes, no vendor lock-in. Integrate in an afternoon.

Get started

See it on your own documents

We'll run Hesper AI on a sample of your real documents — no commitment required.

✓Live demo on documents you choose
✓API walk-through with your engineering team
✓Custom fraud report for your document types

Use case

We'll respond within 24 hours. No spam.

FAQ

Newsletter

Fraud intelligence,
in your inbox

Monthly research on document fraud trends, detection techniques, and real-world case data. No spam — unsubscribe any time.

✓~1,200 readers

✓Monthly

✓Free

Stop fraudulent documents before they cost you

AI-generated fraud is invisible to traditional tools

From submission to verdict in under 80ms

Document submitted

Multi-layer analysis runs

Verdict delivered

Every edit leaves a trace, we find it.

Pre-OCR interception

Explainability score

Pixel-level detection

Region highlighting

Drop-in integration

Built for every team that touches documents

Fake receipts and inflated invoices slip past finance teams every day

What early partners say

Accuracy your team can stake their reputation on

See it on your own documents

Fraud intelligence,in your inbox

Fraud intelligence,
in your inbox