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Insurance Claim Document Fraud Checks

Review insurance claim documents before settlement

Review estimates, invoices and statements before settlement. Locate discrepancies, inspect file records and share evidence with your claims team.

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Turn document signals into follow-up questions

  1. 01 / 03

    Identify the file

    Record the received original and SHA-256, with the context needed to follow up with the submitter or issuer.

  2. 02 / 03

    Review the evidence

    Use page and passage references, compare scanned fields with original receipts, and distinguish routine revisions from changes needing explanation.

  3. 03 / 03

    Save and follow up

    Download the full report, cross-check findings against other claim evidence and record your review decision. Give colleagues a clear record for follow-up and escalation.

Text, file records and signatures in one review

  • AI-writing signals and source text

    Find passages that show characteristics of AI-written text, with PDF page or paragraph references, coverage and evidence strength. Review writing origin alongside the file’s other findings.

  • Revisions, hidden content and attachments

    Examine supported Word and presentation revisions, hidden content, comments, notes and package relationships. PDF checks cover attachments, annotations and actions.

  • Amount and date review

    Review extracted amounts and dates on applicable scanned pages, with field locations and the relationships behind each discrepancy. OCR quality and rule applicability are stated to guide your review.

  • Look-alike and invisible characters

    Inspect emails, URLs and other key identifiers in extractable native text for mixed-script look-alikes, zero-width characters and directional controls. Original fields remain available for comparison.

  • PDF digital signatures

    Review PDF signature integrity, certificate chains, available revocation evidence and permitted changes against configured trust material, with distinct valid, invalid and indeterminate results.

  • Evidence bound to the received file

    SHA-256 fingerprints identify the exact file and report data. Evidence references and source locations give your team a traceable record for review, verification and handoff.

The evidence behind a stronger review

  • Specific findings

    See the observations behind each risk level, from an amount discrepancy to an editing trace, with the status of each check.

  • Back to the source

    Follow findings back to flagged passages, scanned fields and image regions, with page references and coordinates where available.

  • A practical next step

    See when to request an original, contact the issuer, compare fields or obtain validation material. The web page gives an overview; the full PDF supports review and handoff.

Read the overview, then save the evidence

Review findings, coverage and recommended actions on the web page. Download the full PDF from the current tab, or send a copy to your verified account email.

Save the full report promptly. Private evidence remains in the current tab for at most 3 hours from receipt; refreshing does not extend this window, and closing the tab or signing out may clear it earlier. Temporary server evidence is deleted after acknowledged delivery or expiry. Summaries and verification records remain; email copies follow your mail provider’s retention policy.

Explore document checks

Frequently asked questions

Can Fileverity check documents for fraud?

Fileverity checks supported signs of alteration and inconsistency, file records and AI-written passages, with evidence and coverage in the report. Use it to prioritize review and request supporting material; authenticating the underlying transaction also requires issuer and business checks.

Can I check whether a PDF has been edited?

Supported PDF checks inspect file structure, recoverable text revisions and digital signatures. The report distinguishes observations, validation status and missing information. It cannot recover every deleted version.

Can it help review fake invoices and receipts?

It can support the review of submitted invoices and receipts, including applicable scan fields and amount relationships. Compare the source and OCR first, then verify the transaction and payee independently.

Does AI-writing detection prove document fraud?

No. Writing signals, edit records, field discrepancies and signatures are different evidence. Review their basis and limits alongside the original, issuer and business facts.

Why do different reports receive L3?

L3 calls for human review, not one shared cause. Read the findings, completion status, locations and next steps. Limited checks and observed discrepancies are presented separately.

How are suspicious scan amounts or dates shown?

Where applicable, the report shows the scanned page, fields and boxes, with the amount relationship or date rule. Check OCR and context first; a discrepancy alone does not prove alteration.

Does a valid signature prove the contents are true?

No. It concerns the signature and signed data under the stated conditions, not the truth of a transaction or narrative. Missing trust or revocation evidence requires an indeterminate result.

When should I download my report?

Private evidence remains in the current tab for at most 3 hours; refreshing does not extend it. Download promptly. Closing the tab, signing out or server expiry may prevent recovery of full evidence.

Guides

Practical guidance for review teams.

What each check establishes, where it stops and which evidence to request next.

All guides

Check the documents behind every decision.

Review submitted documents before approving a claim, paying an invoice or relying on a written statement. Check file history, signatures, scanned fields and AI-written text, with evidence your team can follow back to the source.

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