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Fraud is rising fast and becoming more sophisticated. In a 2024 survey conducted by the National Multifamily Housing Council (NMHC), nearly 71% reported an increase in fraudulent applications and payments year over year. Among them, 70% experienced some form of identity theft, including fake or altered IDs. Applicants are increasingly using AI-generated documents that make fraudulent rental applications far more convincing and difficult to detect than ever before.
Snappt earned its place in the market by helping operators catch document tampering and verify income with fewer headaches. It became the go-to solution for spotting the most obvious risks in an application file.
But today’s property managers need more than fraud detection to hit occupancy and net operating income (NOI) goals. They need screening workflows that move faster and create less friction for qualified renters. To reduce compliance risk, policy must be applied consistently across every applicant and every property. Fraud tools alone can’t fix approval delays, uneven decisioning, or the applicant drop-off that happens long before a document is reviewed.
That’s where Snappt alternatives come in—especially those that pair fraud detection with the strategic layers modern operators are missing.
Findigs does everything Snappt does on the fraud side, while adding the policy optimization, compliance support, and renter experience capabilities required to convert more high-quality applicants. The result is faster leasing and stronger long-term occupancy.
Snappt is a widely recognized tool for helping property managers identify fraudulent documents before they reach the approval stage. Its core offering focuses on document analysis, income and bank verification, and identity validation. These tools help teams catch the most common types of falsified pay stubs and altered bank statements.
Leasing teams often highlight Snappt’s ease of use: the workflow is simple to learn and designed to fit neatly into existing screening steps. For many operators, it serves as an effective point solution for reducing obvious fraud patterns without adding operational complexity.
But as fraud becomes more sophisticated—and as operators shift their focus toward consistency, speed, and overall occupancy outcomes—many teams are finding that fraud detection alone no longer covers the full range of challenges inside the leasing process.
As fraud grows more complex, operators are looking for end-to-end platforms that do more than flag suspicious documents. One of the biggest gaps with Snappt is the absence of automated policy optimization. Leasing teams must still interpret results, apply screening criteria manually, and ensure decisions stay consistent across properties—leaving room for human error, bias, and slower approvals.
Snappt also lacks a true resident experience layer. There’s no built-in applicant guidance, no mobile-first workflow, and no real-time transparency on application progress. These friction points contribute to incomplete applications and unnecessary back-and-forth, which can delay approvals and drive qualified renters elsewhere.
Finally, Snappt offers limited support for the end-to-end workflow that connects screenings to occupancy outcomes. It’s effective at identifying fraud, but less equipped to help teams interpret findings and take action to improve decision quality over time.
This is why many operators are exploring Snappt alternatives. They’re looking for platforms that combine fraud detection with decisioning, compliance, and renter experience features to support both risk reduction and leasing velocity.
Snappt helps teams detect fraud. Findigs helps you detect fraud and make better decisions to ultimately convert more qualified renters.
Where leasing teams often stay “in the weeds” double-checking Snappt’s findings, Findigs removes that burden with deeper analysis, clearer signals, and more trustworthy automation. It’s a complete screening and policy engine built for both sides of the lease: operators and applicants.
Both Snappt and Findigs offer document analysis and income / identity verification. Both help teams catch pay stub fraud, bank statement tampering, and synthetic identity patterns that create financial and compliance risk for operators.
But Findigs goes deeper than flagging suspicious files. Its fraud protection engine cross-references application data to detect complex fraud patterns that go beyond isolated document checks. Device attestation and behavioral AI help expose burner phones, fake IPs, and interaction irregularities that are increasingly common in sophisticated fraud attempts.
On the document analysis side, Findigs’ native AI-powered engine exposes fraud indicators the moment PDFs are uploaded. Results are shown in context with helpful next-step guidance, rather than leaving teams to interpret raw flags. It also validates the correct document type up front, prompting applicants to correct missing or misfiled uploads. This reduces incomplete files and manual follow-up.
Checks with deeper context, cross-referenced data, and real-time behavioral signals help teams understand why something is risky—not just that it is. Findigs surfaces the underlying patterns and supporting evidence, reducing the guesswork in decisioning.
Snappt flags potential fraud, but it does not offer policy design, decision calibration, or automated compliance workflows. Leasing teams and landlords are still responsible for interpreting results and applying criteria manually. This makes it harder to ensure every applicant is evaluated the same way across properties and staff.
Findigs solves that gap outright. With Findigs Policy Optimization, your screening rules are automatically applied—every time. Decisions become consistent, audit-ready, and free from the variance that leads to compliance risk or accidental bias.
Policy Optimization uses actual leasing outcomes (e.g., delinquency, time-to-lease, etc.) to refine your screening criteria over time, giving you data-backed recommendations and simulations that show what will happen if you adjust thresholds before you implement changes. Your policies aren’t static; they evolve with your portfolio and market conditions.
This automation reduces human error, eliminates inconsistent approvals or denials, and ensures applicants are evaluated fairly and uniformly. The result is higher-quality approvals, stronger risk management, and faster leasing decisions that support occupancy goals.
For many operators, this capability alone is the reason they begin looking for Snappt alternatives.
Snappt’s flow is primarily built for operators, not residents. It focuses on fraud flags and document checks, leaving applicants to navigate confusing uploads and separate verification steps on their own.
Findigs is designed for both sides of the lease. It delivers a smoother journey from application through decision with renter experience features that reduce friction and keep applicants engaged:
Operators benefit through higher completion rates, reduced back-and-forth communication, and fewer incomplete applications—all of which speed up decision times. Applicants experience lower stress and clearer guidance, which boosts brand perception and supports both occupancy and resident retention.
Snappt reduces fraud, but it doesn’t address the operational bottlenecks that slow conversions (e.g., incomplete applications, back-and-forth clarification, inconsistent decisions, delays caused by manual review, etc.). Fraud detection alone does not shorten days on market or increase the volume of high-quality move-ins.
Findigs improves both screening accuracy and deal velocity. By pairing deeper fraud analysis with automated policy application and a renter-friendly workflow, Findigs streamlines every step between application and approval.
Leasing teams are free to focus on getting people into units faster instead of chasing documents, interpreting flags, or rechecking results. Consequently, providing faster, clearer time-to-decision—and fewer stalled applications—reduces days on market. By eliminating friction that causes qualified renters to abandon the process, pipeline health is improved and unit downtime is reduced.
When policy optimization and a modern renter experience work alongside reliable fraud detection, operators see higher move-in rates, reduced vacancy loss, and measurably stronger occupancy performance—across their entire portfolio.
Snappt does not interpret or standardize decisions to ensure that every screening outcome aligns with non-discrimination requirements. Without consistent decisioning and audit-ready records, teams risk uneven application of screening policies that could expose them to compliance challenges or Fair Housing inquiries.
Findigs enforces screening rules uniformly to reduce Fair Housing risk. The platform ensures that all decisions are based on the same transparent criteria. This consistent application is critical given federal law: the Fair Housing Act prohibits discrimination in housing based on protected characteristics such as race, color, religion, sex, national origin, familial status, and disability, and applies to all rental decisions.
Findigs also includes built-in documentation and audit trails that make it easier for operators to demonstrate compliance, articulate decision rationales, and satisfy internal or external reviews. Teams—and potential residents—are protected from biased interpretations or undocumented judgment calls.
Snappt helps teams cut down on the time spent manually checking documents, but many operational burdens remain. Leasing agents still need to interpret results and resolve incomplete applications, and applicants often need clarification at multiple points in the process.
Findigs eliminates those additional points of friction. Its fraud detection, policy automation, and renter experience tools work together to streamline workflows end-to-end, reducing the day-to-day workload that slows teams down.
Findigs reduces additional time spent:
While Snappt was early to market with document scanning technology, Findigs consistently stays ahead of the curve in resident screening innovation.
Findigs invested years earlier in building a broader verification foundation. This includes native identity verification, bank linking, and employment verification.
That forward-looking approach shows up across the platform. Findigs continuously expands its screening capabilities to reduce friction, improve accuracy, and keep decisions moving—rather than forcing teams to bolt on additional tools as needs evolve.
One example is Findig’s native pet verification solution, which allows operators to verify pets and support animals directly within the screening workflow. This prevents pet-related checks from becoming a separate, manual process that delays approvals or creates inconsistent decisions. Snappt does not offer pet screening, meaning teams must rely on external tools or follow-ups that slow down time to decision.
Snappt is strong at fraud detection and remains a useful tool for identifying obvious document risks. For operators who only need a point solution to catch basic fraud patterns, it can serve that purpose well.
Findigs goes further. It delivers advanced fraud detection plus automated policy optimization, a modern renter experience, deeper decision context, and meaningful operational lift for leasing teams. Property managers choosing Snappt alternatives typically want more consistency across decisions, less manual work inside their workflows, and better conversion outcomes across their portfolio.
Findigs is the best alternative to Snappt for teams focused on accuracy, speed, and occupancy. If your goal is to reduce risk while increasing move-ins, it may be time to consider what a more complete screening platform can unlock.
Fraud rarely shows up in just one document. Applicants who falsify pay stubs often manipulate bank statements, identities, or device information as well. Findigs’ holistic system connects these signals so you catch patterns that would slip through a single-document check—protecting you from the more sophisticated fraud that’s becoming increasingly common.
Snappt offers identity verification and document analysis, but it stops at surface-level checks. Findigs provides a full verification stack: native identity verification (IDV), income and bank verification, AI-driven document analysis, device and behavioral signals, cross-referenced data checks, and real-time applicant guidance—all in one workflow. You get a clearer picture of the applicant and fewer gaps for fraud to hide.