In 2025, law enforcement agencies worldwide have warned about the rise of fake police reports. On July 16th of this year, several Louisiana law enforcement leaders were charged with selling such reports to immigrants seeking visas.
The problem isn’t just immigration fraud. For insurers, compliance teams, and investigators, missing a fake can mean payouts for crimes that never occurred, reputational damage, or even liability in court.
And fake documents aren’t just sloppy edits anymore. Generative AI tools and editable templates now make it easy to forge realistic-looking reports.
With fake document generation on the rise, it’s time for institutions to learn how to spot a fake police report from the real thing.
Read on to learn what police reports are, why they matter, and how fake police reports can be detected and stopped.
Check out our “how to spot fake documents” blog to learn about more common document forgeries.
A police report is an official document created by a law enforcement officer to record details of an incident, crime, or accident.
These reports help law enforcement capture the details of an incident and provide an official record for future reference. According to police sources, police reports are used for four main reasons:
They are also widely used in administrative contexts (especially in insurance claims and investigations).
The structure and level of detail in police reports can vary. Some generic templates will provide mostly the same information, while official department-specific versions may include department logos, case numbering systems, and supplemental attachments that differ by jurisdiction.
Key elements of a police report that can be found across these varieties include:
These documents serve as proof that an incident occurred and was formally recorded by law enforcement.
Fake police report example for illustrative purposes only
Police reports play a vital role in critical verification processes. A certified copy is often required as proof of incident for insurance claims, immigration applications, or legal proceedings. They are an essential (and trusted) part of risk assessment and compliance workflows.
Here’s how they’re used for document verification in specific contexts:
Because police reports carry the weight of official law enforcement documentation, they’re widely trusted as verifiable sources of truth.
If you’d like to know how fraudsters are creating all these fake police reports, check out our “Types of fraud” blog to learn more about their tactics.
Our Threat Intelligence Unit collects data about template farms which make and distribute fake document templates for fraudulent purposes.
During our research we haven't yet cataloged many police report documents, however, they are still very prevalent online. A simple search on Scribd.com (a well known template hub) reveals over 850,000+ results for this document, revealing a high demand for online templates.
The subject matter, however, was broad, ranging from generic police reports, to blood splatter, loss of an official firearm, and much more.

Search results for "police report" on Scribd.
Threat level: Legitimate police reports are generated directly§ from secure records management systems or state-issued templates. Never from downloaded public forms. Any ‘police report template’ sourced online is likely an imitation used to create fake or self-written reports.
While that doesn't rule out edge cases like practical jokes or film/novel research, the odds are a majority of people downloading these documents have ill intentions.
This level of availability (and the nature of the templates) means institutions should be weary of any suspicious police report submissions.
Missing a fake police report can cause wrongful payouts, damaged reputations, and legal exposure.
Manual reviewers often skim these documents while sophisticated forgeries rely on tiny, believable errors to slip through. The best verification is AI-powered document fraud detection.
However, if you’re still reviewing documents manually in 2025, here’s what to watch for when someone hands you a report that looks “official.”
Authentic police reports are produced on agency templates and follow strict layout rules. Formatting errors are often the easiest initial giveaways.
Forgeries often trade plausibility for speed, introducing factual mismatches that fail simple cross-checks.
Police reports are a chain-of-events document. Inconsistencies in time, sequence, or evidence handling often expose fabrications.
These are red flags particular to law enforcement records and their internal workflows.
The file’s technical trail often tells a different story than the visible text.
Disclaimer: These red flags catch many common forgeries, but fraudsters adapt quickly. Manual checks can detect crude fakes and single-file spot checks, but they slow down teams and miss subtle, scaled attacks.
Police reports are typically verified by industries that rely on incident records to make high-stakes decisions. Insurance providers, immigration authorities, employment screening firms, and legal teams can verify them manually or through automation, but the difference in reliability is significant.
Manual checks are increasingly ineffective. Fraudsters now use editable templates and AI-driven tools to mimic official formats, seals, and numbering schemes, creating forgeries convincing enough to slip through casual review. Human reviewers also struggle with high volume, serial attacks that target weaknesses in their document intake processes.
AI-powered automation is far more effective. It scales instantly, assessing a document for fraud in thousands of different ways (in seconds) and flags contradictions that a person might miss. It also provides audit-ready verification trails that regulators and compliance teams can rely on.
That said, manual review hasn’t disappeared. Legacy workflows, compliance requirements, and low-volume cases still depend on it. If you must verify police reports manually, here are some techniques that can help.
While the red flags above provide useful cues, these targeted methods give you more concrete ways to confirm authenticity:
To find the relevant police department, you can use a source like the National Public Safety Information Bureau (but it’s a paid
subscription) or Police1.com (but their data is somewhat limited).
The best option is to search online for the named police department and contact them directly.
Keep in mind: Manual verification can catch sloppy forgeries, but it cannot keep pace with modern fraud. Industrialized forgery kits and AI-generated templates mean even seasoned reviewers miss subtle anomalies and can’t keep up with the rate of document generation. Automation adds speed, consistency, and depth — critical when handling police reports at scale.
AI has transformed document verification from a slow, error-prone task into a scalable process. Instead of relying on surface checks, machine learning models can scan thousands of police reports in real time, detecting patterns and anomalies that humans often overlook.
Benefits of AI in police report verification include:
Automation can handle surface-level checks: confirming fields exist, totals are filled, or dates are present. But it breaks down when encountering novel assaults and unexpected weaknesses.
AI goes further. It adapts to new fraud patterns, learns from data across the customer lifecycle, and spots manipulations that don’t follow authentic report logic.
Fake police reports are a gateway to larger fraud. It only takes one clever fraudster to find a loophole in your police report verification process, leading to an onslaught of fraudulent claims knocking down your doors.
Manual checks can catch obvious fakes, but they can’t keep up with the sophistication and volume of today’s forgeries.
The benefits of AI described above are all key characteristics Resistant documents, our document fraud detection solution.
It gives organizations an edge by combining structural analysis and cross-document intelligence to reveal fraud signals without relying on database look-ups or extensive document libraries.
Scroll down to book a demo and see how AI can help your team detect fake police reports before they cause financial or reputational harm.
Hungry for more fake police report content? Here are some of the most frequently asked fake police report questions from around the web.
The most reliable method is to use AI-powered document fraud detection software. These systems analyze how the report was built, detect hidden anomalies that manual checks can’t catch, and apply cross-document intelligence to uncover repeat patterns or linked fraud attempts.
Access varies by jurisdiction. In many U.S. states, portions of police reports are available via public records laws with sensitive details redacted; other regions restrict access or require a data request process.
If you encounter a suspicious report, treat it as a potential fraud case. Escalate the document for internal review, freeze any related claim or application, and follow your organization’s fraud-handling workflow. In high-risk cases, notify law enforcement or regulatory authorities so the attempted fraud is formally recorded.
AI-powered tools analyze how documents were built and behavioral patterns across the submission process. They flag inconsistencies and spot patterns that span the entire document submission dataset.
These terms are sometimes confused, but they serve different purposes in law enforcement and legal processes. Police reports officially document a crime while incident reports are reserved for accidents.
Yes. Resistant AI provides document fraud detection software that can automatically analyze police reports, flag inconsistencies, and verify authenticity at scale.
Several roles across institutions must verify police reports as a part of their responsibilities:
Yes. Filing, altering, or using a fake police report is a criminal offense in most jurisdictions, with penalties that can include fines, restitution, and imprisonment.