A file enters your workflow
Receive documents from your portal, claims system, lending process, expense platform, email workflow, or document system through API, SFTP, OneDrive, or upload.
Document & PDF forensics
Document Fraud Detection Software
Detect manipulated files before they enter your workflow
essential-fd checks incoming PDFs and digital documents for technically verifiable signs of manipulation. It analyzes file structures, metadata, embedded elements, editing traces, and other forensic signals in the background—then returns OK or FLAG with an explanation.
File fraud detection without false alarms.
Look beyond appearance
Detect document manipulation at the file level
A document can look completely normal while still containing traces of editing or manipulation. Traditional review focuses on what is visible. essential-fd also examines what is happening inside the file.
- Content was changed after the document was created
- Text, images, or graphical elements were added later
- Pages were replaced, removed, or inserted
- Metadata conflicts with the document’s stated origin
- A file was processed using unexpected editing software
- Different parts were created using inconsistent methods
- Existing document elements were covered or overwritten
- A digital signature or document structure is inconsistent
How it works
Forensic screening in three steps
No additional customer steps, subjective fraud scores, or unnecessary review noise.
essential-fd performs checks
Depending on the file, analysis can cover PDF structure, metadata, images, content consistency, barcodes, and other file-level tests.
You receive a clear result
OK means no defined signal was identified. FLAG identifies a specific technical finding and explains what reviewers should examine.
Forensic coverage
What essential-fd checks
PDF structure
Objects, content streams, fonts, references, annotations, metadata, and revision information can expose structural inconsistencies and traces of later modification.
Metadata and creation history
Creation and modification details are checked against the expected origin. Metadata alone does not prove fraud, but a clear conflict can justify review.
Added or replaced content
Text boxes, overlays, replaced images, unusual fonts, or separate elements over original content are examined in the underlying file.
Images and scanned documents
Image properties, encoding, metadata, dimensions, and recompression traces can reveal relevant signs of editing.
Cross-document consistency
Names, dates, addresses, bank details, invoice values, or employer information can be compared across submitted files.
Digital signatures
Signature state and document structure can be checked for inconsistencies that indicate a document changed after signing.
Explainable by design
Built for hard, explainable checks
Many fraud tools return a general risk score, creating uncertain cases that someone still needs to investigate. essential-fd focuses on technical findings that can be explained and traced back to the file.
This makes it suitable as a low-friction fraud detection layer across large volumes of incoming files.
No vague risk score
A concrete result based on defined checks.
No additional customer effort
Customers upload through the existing process.
No workflow replacement
Add a forensic screening layer to your current system.
No unnecessary review queue
Flag files only when a relevant technical finding exists.
Applications
Document fraud detection use cases
Invoice manipulation
Detect signs that totals, bank details, supplier information, dates, or line items may have changed.
Invoice manipulation detection →Proof of income
Identify editing signals in payslips, salary statements, employment documents, and other proof of income.
Payslip fraud detection →Insurance claims
Check invoices, receipts, estimates, certificates, images, and other claim files before manual review.
Expense documents
Analyze receipts and invoices for changed values, replaced information, or repeated manipulation patterns.
Supplier onboarding
Screen company files, certificates, invoices, and bank information before approval or payment changes.
Digital applications
Check supporting files in lending, leasing, rental, insurance, and account-opening processes.
One forensic layer
Across your incoming files
A single process can include a PDF invoice, photographed receipt, scanned certificate, and exported bank document. Checks can include PDF and image forensics, metadata and structure analysis, QR and barcode analysis, digital signatures, data consistency, company and bank checks, date and value comparisons, and custom document rules.
Integrate without changing the customer journey
API
SFTP
OneDrive / SharePoint
Web application
Useful output
Clear results for reviewers and systems
Receive structured JSON, a UI result, or a human-readable report for routing, investigation, audit, or reporting.
- Overall status: OK or FLAG
- Identified technical finding
- Affected page or element
- Why the finding is relevant
- Supporting metadata
- Recommended review action
Start with a pilot
Find manipulation before it becomes a loss
See how essential-fd can screen your incoming documents and return a clear, explainable result.
FAQ
Frequently asked questions
What is document fraud detection software?
It analyzes submitted files for signs that content may have been forged, changed, replaced, or otherwise manipulated, including visible inconsistencies and technical traces in file structure, metadata, images, and embedded elements.
Can you detect whether a PDF has been edited?
In many cases, a PDF contains technical traces of modification. essential-fd checks its internal structure for defined indicators. Not every edited PDF is fraudulent, so findings are considered in the context of the document and workflow.
Does essential-fd use artificial intelligence?
essential-fd can combine deterministic forensic checks, statistical methods, and machine learning where appropriate. The final flag remains explainable and connected to a specific finding.
Does document fraud detection replace manual review?
No. essential-fd reduces the documents that require attention and gives reviewers more technical evidence. You decide how flagged files are handled.
Which file types can be checked?
PDFs, common image formats, scans, and other digital documents can be analyzed. Supported formats and checks are configured for the use case.
How is essential-fd integrated?
Through an API, SFTP, OneDrive, SharePoint, or a dedicated web application.