GITNUXSOFTWARE ADVICE
SecurityTop 10 Best Biometrics Software of 2026
Ranking insights for biometrics software, with real use cases and comparisons of Daon, Socure, and Jumio to shortlist tools for security teams.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Daon is the strongest fit when identity teams need policy-driven biometric decisions across onboarding and step-up auth, whereas M2SYS Technology is a better alternative if you’re building a platform that needs configurable device-to-template processing and integration-controlled matching workflows.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Daon
Policy-driven decisioning that ties liveness and matching outcomes into one configurable verification workflow.
Built for fits when identity teams need policy-driven biometric decisions across onboarding and step-up auth..
Socure
Editor pickConfigurable decision routing that connects biometric capture results to automated outcomes and investigator case handling.
Built for fits when identity teams need biometric verification tied to risk decisions and governed case workflows..
Jumio
Editor pickPresentation attack detection is integrated into biometric verification flows so decisions can reject spoof attempts before matching outcomes.
Built for fits when fraud, onboarding, and engineering need API-controlled biometric verification orchestration across web and mobile..
Related reading
Comparison Table
Daon
enterpriseBiometric authentication platform for passwordless identity verification.
Policy-driven decisioning that ties liveness and matching outcomes into one configurable verification workflow.
Daon fits deployments that need consistent biometric checks across channels, including remote onboarding and later step-up authentication. Liveness and presentation attack detection are part of the capture-to-decision path, so the system can reject likely spoof attempts before it returns identity decisions. Daon also supports both one-to-one and one-to-many matching patterns depending on the onboarding or watchlist use case. Enterprise operations are reinforced by configuration of verification rules and operational monitoring for decision outcomes.
A tradeoff is that biometric performance depends on enrollment quality and capture conditions, so teams usually need careful rollout tuning for thresholds and retries. Daon is a strong fit when identity teams must enforce consistent biometric decision logic across multiple apps or partners and need controlled change management for verification policies.
- +Decision workflow combines capture checks with policy-based outcomes
- +Presentation attack detection runs inside the verification path
- +Supports one-to-one and one-to-many matching patterns
- +Template lifecycle handling reduces manual biometric operations
- –Enrollment quality variance can require threshold retuning during rollout
- –Deeper configuration for match rules increases implementation effort
- –Complex deployments may need dedicated integration engineering
- –Some device-side behaviors depend on SDK or client configuration
Digital identity teams
Remote onboarding with biometric verification
Fewer fraudulent onboarding attempts
Fraud and risk operations
Step-up authentication after login
Lower account takeover risk
Show 2 more scenarios
Identity and access engineering
Watchlist-style one-to-many matching
Earlier fraud detection
Supports search-based comparisons to detect potential identity re-use.
Systems integrators
Multichannel biometric enrollment automation
Consistent verification across apps
Connects client capture to server-side template and decision management.
Best for: Fits when identity teams need policy-driven biometric decisions across onboarding and step-up auth.
More related reading
Socure
enterpriseDigital identity verification platform with biometric liveness and face matching.
Configurable decision routing that connects biometric capture results to automated outcomes and investigator case handling.
Socure targets teams that need identity verification outcomes tied to biometric capture and server-side decision steps. The product is typically evaluated for integration depth, including how verification results and review outcomes feed downstream systems. Case management supports investigators with consistent disposition handling, and audit logs help track why a decision was made.
A tradeoff is that complex biometric program requirements can require more integration work than tools focused on a single modality and a thin workflow. Socure fits when identity verification must plug into an existing risk stack and when review operations need structured governance for exceptions.
- +Risk-first decisioning that routes users to automated or review paths
- +Case tooling for consistent investigation and disposition tracking
- +Audit trails that connect decisions to review outcomes
- +Integration hooks that fit existing onboarding and risk stacks
- –Deeper workflows can increase implementation effort for new programs
- –Biometric-only deployments may not match teams seeking minimal scope
- –Modality coverage depends on configured capture flows and partners
- –Tuning decision rules can require operational iteration
Fraud operations teams
Route borderline cases into review
Fewer false approvals
Identity engineering teams
Orchestrate verification in onboarding
Lower integration friction
Show 1 more scenario
Compliance and risk governance
Track decision rationale and exceptions
Stronger review traceability
Audit trails support review accountability for biometric decision and investigation steps.
Best for: Fits when identity teams need biometric verification tied to risk decisions and governed case workflows.
Jumio
enterpriseIdentity verification platform integrating biometric liveness and face matching.
Presentation attack detection is integrated into biometric verification flows so decisions can reject spoof attempts before matching outcomes.
Jumio supports identity verification flows that combine biometric capture and matching with presentation attack detection controls, which reduces reliance on manual review. Enrollment and verification can be driven through API so product teams can embed capture, submission, and decisioning into existing onboarding journeys. Deployment patterns fit both web and mobile channels, with configuration for allowed capture steps and downstream verification outcomes.
A practical tradeoff appears in orchestration depth, because advanced governance across multiple channels depends on careful configuration of decision flows and operational alerting around verification outcomes. Jumio fits usage situations where fraud teams need consistent onboarding behavior at scale and where engineering wants to manage verification state transitions via API.
- +API-driven enrollment to decision flow reduces onboarding integration work
- +Liveness and presentation attack controls support fraud-resistant verification
- +Multimodal capture options support varied user environments
- +Configurable verification outcomes support automated routing and review triggers
- –Complex multi-channel rollout needs careful configuration discipline
- –Advanced governance often requires integration-side work
- –Operations depend on monitoring verification states and failure causes
- –Some biometric UX tuning requires iteration with client-side capture
fraud engineering teams
Automate biometric onboarding with spoof rejection
Lower impersonation fraud rates
identity verification product owners
Unify facial verification across channels
Consistent verification behavior
Show 2 more scenarios
compliance and operations managers
Reduce manual review volume
Faster case resolution
Use configurable outcomes to trigger review only on specific failure categories.
platform engineering teams
Integrate with existing KYC workflows
Cleaner verification lifecycle
Embed verification requests into internal onboarding systems using API and decision callbacks.
Best for: Fits when fraud, onboarding, and engineering need API-controlled biometric verification orchestration across web and mobile.
IDEMIA
enterpriseBiometric identity and security software for public and private sector clients.
End-to-end verification orchestration that ties biometric capture to liveness controls and decision delivery via integration interfaces.
IDEMIA brings enterprise-grade identity verification through biometric capture, matching, and device integration, with workflow tooling aimed at deployment in real service environments. Core capabilities include biometric enrollment and verification flows for multiple modalities, plus presentation attack detection aligned to modern identity risk controls.
Integration options center on APIs and SDK-style components for connecting capture devices, identity records, and verification decisions. Admin and governance support focus on operational controls for managing users, environments, and auditability across verification programs.
- +Multimodal verification workflows designed for production identity programs
- +Presentation attack detection controls for reducing spoof attempts in capture
- +API-centric integration for connecting devices, templates, and decisioning
- +Operational tooling for managing verification environments and program users
- –Integration effort rises when consolidating multiple capture devices and formats
- –Deep configuration requires governance discipline across environments and settings
- –Modality coverage depends on supported hardware and capture SDK availability
- –Custom workflow changes can require professional services support
Best for: Fits when enterprises need API-driven biometric verification across modalities with strong fraud resistance controls.
M2SYS Technology
vertical specialistBiometric identification management platform supporting multiple modalities.
Biometric data interchange tooling that standardizes template handling across enrollment sources and matching services.
M2SYS Technology provides biometric processing and identity verification workflows that turn enrollment data into templates for matching and verification. It supports integration with biometric devices and third-party systems through documented service interfaces and data exchange utilities aligned to biometric standards.
The implementation focus is on template handling, matching orchestration, and workflow automation for both one-to-one and one-to-many use cases. Admin visibility centers on operational controls for enrollment, verification runs, and verification outcomes across environments.
- +Strong template conversion and interchange support for biometric data formats
- +Clear enrollment and matching workflow orchestration for verification pipelines
- +Integration-oriented interfaces for connecting devices, services, and downstream systems
- +Operational controls to manage matching behavior and verification outcomes
- –Workflow configuration requires careful setup to avoid template and matching mismatches
- –Limited out-of-the-box UX for end-user capture compared with identity verifiers
- –Deep device integration can require vendor SDK work for nonstandard hardware
- –Advanced automation depends on API-driven integrations rather than pure configuration
Best for: Fits when platforms need device-to-template processing and configurable matching workflows with integration control.
Cognitec
enterpriseFace recognition software engine and SDK for identification and verification.
Production-grade biometric matching components that separate capture, template handling, and identification scale-out.
Cognitec is a biometrics software vendor focused on high-performance biometric matching and capture tooling for identity workflows. Its core package centers on facial biometrics and fingerprint recognition capabilities that support both one-to-one verification and one-to-many identification use cases.
The solution is typically deployed with integration work around biometric template formats, device SDKs, and server-side matching components. Governance depth shows up through configurable processing pipelines, audit-style operational logging, and role-based access patterns used in production deployments.
- +Face and fingerprint recognition engines tuned for production identity matching
- +Supports both one-to-one verification and one-to-many identification flows
- +Extensible integration points for enrollment, capture, and server matching
- +Operational traceability via logs that help troubleshoot pipeline failures
- –Integration effort is higher than client-first verification vendors
- –Requires careful tuning of matching thresholds to meet FAP and FRR targets
- –Onboarding biometric devices and capture UX takes implementation work
- –Multimodal identity assembly depends on customer-side workflow design
Best for: Fits when organizations need on-prem or controlled deployments with facial and fingerprint matching integration work.
Herta Security
enterpriseFacial recognition and biometric video analytics software for security applications.
Production workflow configuration that ties liveness evaluation and biometric matching outputs into a single policy-driven decision step.
Herta Security focuses on biometric identity verification workflows with enrollment, matching, and risk decisioning built around real-world production constraints.
The core capability set centers on fingerprint recognition and facial recognition processing, including presentation attack detection for liveness checks.
Configuration supports deployment in environments that require controlled device integration and policy-driven decisions.
Automation options are tied to operational lifecycle needs like onboarding flows and ongoing verification orchestration.
- +Fingerprint and facial recognition coverage for common identity verification stacks
- +Presentation attack detection support for liveness risk reduction
- +Policy-driven verification flow control for consistent decision behavior
- +Production-oriented deployment patterns for integration with existing onboarding systems
- –Workflow setup requires careful mapping between enrollment stages and decision logic
- –API surface depth for custom matching and data handling is not as flexible as top contenders
- –Operational tuning effort is higher when multiple capture devices must be normalized
- –Multimodal orchestration across face and fingerprint can add integration complexity
Best for: Fits when identity teams need end-to-end biometric verification workflows for fingerprint and facial capture.
FaceTec
API-first3D face authentication and liveness detection software for identity verification.
FaceTec’s production enrollment and verification pipeline includes liveness checks tied to its facial template matching flow.
FaceTec is a facial biometrics verification product focused on identity checks using an enrollment-to-verification workflow. Core capabilities include biometric enrollment with liveness checks and one-to-one matching against a stored biometric template.
FaceTec also provides integration artifacts like APIs and SDK-style client components, which help connect device capture to server-side matching. Administrative controls and audit-friendly outputs support governance for high volume identity verification programs.
- +Enrollment-to-verification flow supports production identity checks
- +Liveness gating reduces acceptance of non-live presentation attempts
- +API-based integration fits custom onboarding and case management
- +Configurable matching thresholds support tuning for target risk levels
- –Facial modality focus limits coverage for multimodal deployments
- –Template lifecycle configuration needs careful governance discipline
- –Operational tuning is required to align throughput with latency targets
- –Liveness performance can vary with capture quality and lighting
Best for: Fits when facial identity verification needs configurable thresholds and API-first integration into an existing workflow.
iProov
API-firstBiometric face verification with liveness detection for remote identity authentication.
Presentation attack and liveness decisioning built for remote face capture sessions with programmatic session results.
iProov runs remote liveness-based identity verification that focuses on presentation-attack detection during face capture.
The product supports enrollment and verification workflow paths with session handling for automated orchestration.
Developer APIs provide session control and result retrieval for identity checks embedded in onboarding systems.
The solution is geared toward consistent liveness evaluation at scale across repeatable capture flows.
- +Strong liveness and presentation-attack detection during remote face capture
- +Session-oriented APIs support automated onboarding orchestration
- +Configurable capture flows that reduce client-side implementation complexity
- +Clear separation between enrollment and verification workflows
- –Integration effort increases when teams need deep custom capture UX
- –Limited support for non-face biometric modalities beyond typical deployments
- –Operational tuning can be required to meet target false reject rates
- –Admin governance features can feel thin compared with full identity suites
Best for: Fits when teams need remote face liveness for identity verification with API-driven onboarding workflows.
BioID
API-firstBiometric authentication API for face recognition and liveness detection.
BioID’s facial matching and liveness approach for presentation attack detection within its biometric enrollment and recognition pipeline.
BioID targets biometric identity workflows that combine capture, enrollment, and recognition around biometric templates. Facial verification and identification are the most central capabilities, with liveness checks aimed at presentation attacks.
The practical evaluation hinges on integration and automation because biometric steps must align with identity issuance, access decisions, and audit requirements in upstream systems. BioID’s API surface and server-side components matter most when deployments span multiple services and environments.
Compared with higher-ranked competitors like Socure, Onfido, and Jumio, BioID tends to be a stronger fit for teams that want control of biometric processing steps than for teams relying on broad end-to-end identity verification stacks.
- +Facial capture workflow includes liveness checks for presentation attack resistance
- +Enrollment and recognition can be orchestrated into repeatable identity matching flows
- +Designed for template-based matching across system components
- +API-focused integration supports embedding biometric steps into existing services
- –Advanced configuration needs integration engineering to fit enterprise identity flows
- –Multimodal hardware support is not the primary emphasis versus facial use cases
- –Operational tuning is required to balance false rejects and user experience
- –Admin tooling depth for governance features can be limited compared with broader identity vendors
Best for: Fits when teams need facial template enrollment plus server-side matching with automation via APIs.
Conclusion
After evaluating 10 security, Daon stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right biometrics software
This buyer's guide covers biometrics software used to convert biometric capture into decisioning outputs for identity verification and onboarding workflows across Daon, Socure, and Jumio. It focuses on how each tool couples liveness and matching outcomes to configurable policy paths, how it routes results into investigator or automated actions, and how its API and integration interfaces shape deployment effort.
Daon is highlighted for policy-driven biometric decision workflows, Socure is highlighted for risk routing with case handling, and Jumio is highlighted for presentation attack detection integrated into verification flow decisions. The guide also positions other reviewed options for teams that need multimodal orchestration, biometric template interchange tooling, or on-prem style matching components.
Biometrics software for liveness, template handling, and verification decision workflows
Biometrics software turns enrollment and verification capture into biometric templates and then into matching results that feed identity verification decisions. Many deployments also include presentation attack detection tied to the same verification path so spoof attempts get rejected before or alongside match scoring. Daon and Socure illustrate two common decisioning structures. Daon connects capture checks, liveness evaluation, and matching outcomes into one configurable verification workflow that delivers policy-driven results.
Socure routes biometric capture results into automated outcomes or investigator case handling so risk decisions stay governed from verification to disposition. Other reviewed tools add different emphasis, including Jumio’s API-controlled orchestration where integrated presentation attack detection can block spoof attempts ahead of matching outcomes. The selection criteria across the reviews center on integration depth, automation and API surface, and the configuration controls needed to run consistent verification and investigation behavior across channels and environments.
Integration, policy controls, and biometric workflow outputs
Biometrics software must turn capture results into verification decision outputs with the same workflow logic across onboarding, step-up auth, and re-verification. Daon stands out for tying liveness and matching outcomes into one configurable verification workflow that delivers policy-driven results, which reduces drift between capture checks and decision outcomes.
Integration depth matters because biometrics rarely lives alone. Socure connects biometric capture results to automated outcomes and investigator case handling, while Jumio integrates presentation attack detection into biometric verification flows so spoof attempts get rejected before matching outcomes.
Policy-driven verification workflow wiring
Daon combines capture checks, presentation attack detection, and matching outcomes into one configurable verification workflow that outputs policy-based results. Herta Security uses a production workflow configuration that ties liveness evaluation and biometric matching outputs into a single policy-driven decision step.
Decision routing and case handling for risk disposition
Socure routes biometric capture results into automated outcomes or investigator case handling so risk decisions stay governed from verification to disposition. Daon also supports policy-driven outcomes, but it focuses on verification workflow configuration tied directly to matching and liveness checks.
Presentation attack detection integrated into the verification path
Jumio integrates presentation attack detection into biometric verification flow decisions so spoof attempts can be rejected before or alongside matching outcomes. IDEMIA also delivers multimodal verification orchestration with presentation attack detection controls that reduce spoof attempts during capture.
Template handling and interoperability across sources
M2SYS Technology provides biometric data interchange tooling that standardizes template handling across enrollment sources and matching services. This is a different emphasis from client-first verifiers like FaceTec, which centers on enrollment and verification pipeline behavior tied to its facial matching flow.
Matching engine deployment model and scale behavior
Cognitec separates capture, template handling, and identification scale-out for face and fingerprint recognition across one-to-one verification and one-to-many identification flows. This approach typically requires more integration effort than API-controlled verification orchestration from vendors like Jumio.
Remote session APIs for liveness in face capture workflows
iProov builds presentation attack and liveness decisioning around remote face capture sessions with programmatic session results. This session-oriented shape differs from BioID, which focuses on facial template enrollment plus server-side matching with automation via APIs.
Pick a workflow model by where decisions and orchestration must live
Biometrics programs fail most often when capture, liveness, matching, and decisioning become separate systems with inconsistent thresholds and branching logic. Daon and Herta Security reduce that risk by wiring policy outputs to the same workflow step that evaluates liveness and matching results.
The second fork is orchestration ownership. Jumio and IDEMIA emphasize API-driven orchestration of enrollment through to decision delivery, while Cognitec and M2SYS Technology skew toward template handling and matching components that fit controlled environments and custom pipelines.
Choose policy-first workflow control when outcomes must be governed end to end
Select Daon when verification outcomes must follow a configurable verification workflow that binds liveness checks and matching outcomes into policy-driven results. Select Herta Security when fingerprint and facial verification workflows must use a single policy-driven decision step that consumes liveness evaluation plus matching outputs.
Choose risk-first routing when biometric decisions must feed investigator case workflows
Select Socure when biometric outcomes must route into automated decisions or investigator case handling with consistent disposition tracking. If case handling is not required, Daon can cover policy-driven verification paths without shifting the program into case operations.
Choose verification-path presentation attack controls when spoof rejection must block matching
Select Jumio when presentation attack detection must be integrated into verification flow decisions so spoof attempts can be rejected before or alongside matching outcomes. Select IDEMIA when enterprises need API-driven multimodal verification orchestration with presentation attack detection controls across production identity programs.
Choose template interchange tooling when templates and matching services are separated
Select M2SYS Technology when enrollment sources and matching services must interoperate through standardized template handling and conversion. If the program is centered on facial enrollment and verification in a single production pipeline, FaceTec may fit better than building interchange across services.
Choose matching-component deployments when identification scale and environment control are primary
Select Cognitec when on-prem or controlled deployments require facial and fingerprint matching engines that support both one-to-one verification and one-to-many identification flows. If the goal is API-controlled verification orchestration with liveness and spoof rejection in the flow, Jumio generally reduces integration scope compared with matching-component wiring.
Choose remote-session liveness APIs when capture happens in supervised web sessions
Select iProov when the program needs remote face liveness and presentation-attack detection with session-oriented APIs that support automated onboarding orchestration. If the program expects facial template enrollment with server-side matching and automation via APIs, BioID aligns more closely to that workflow shape.
Who biometrics software buyers should target for these workflow outcomes
Identity engineering and fraud teams need biometrics software that can enforce the same branching logic from capture checks through liveness and matching into final decision outcomes. Daon and Socure fit different governance models, with Daon focusing on policy-driven verification workflows and Socure focusing on risk routing into automated or investigator case workflows.
Platform teams also need integration-ready architectures that match their deployment shape. IDEMIA and Jumio support API-driven orchestration across modalities, while Cognitec and M2SYS Technology target controlled deployments and interoperability between enrollment and matching services.
Identity verification teams building policy-driven onboarding and step-up auth
Daon supports policy-driven biometric decisions across onboarding and step-up auth by tying liveness and matching outcomes into one configurable verification workflow.
Risk and fraud teams that require investigator-in-the-loop disposition
Socure routes biometric capture results into automated outcomes or investigator case handling so risk decisions remain governed from verification through disposition.
Fraud and engineering teams that need API-controlled orchestration across channels
Jumio provides API-driven enrollment to decision flow and integrates presentation attack detection into verification decisions to reject spoof attempts ahead of matching outcomes.
Enterprise platforms that must control deployment and scale matching behaviors
Cognitec separates capture, template handling, and identification scale-out and supports one-to-one verification and one-to-many identification flows in controlled environments.
Systems integrators standardizing templates across enrollment sources and matching services
M2SYS Technology standardizes template handling via biometric data interchange tooling so device-to-template processing and matching workflows can stay consistent across services.
Common mistakes that break biometric verification programs
Buyers often underestimate how much governance discipline is required when liveness thresholds and matching rules must stay aligned across environments. Daon and Herta Security both emphasize policy-driven workflows, but enrollment quality variance can force threshold retuning during rollout and workflow setup can require careful mapping between enrollment stages and decision logic.
Another frequent failure comes from mismatched workflow ownership. Choosing a matching-component approach without planning for integration effort can delay meeting false acceptance and false rejection targets, and choosing a template-interchange tool without a clear orchestration plan can produce template and matching mismatches.
Treating liveness outcomes and match rules as independent settings during rollout
Daon’s enrollment quality variance can require threshold retuning during rollout, so rollout plans must include measurement cycles tied to the same configurable verification workflow logic.
Building a workflow but leaving enrollment-to-decision stage mapping ambiguous
Herta Security workflow setup requires careful mapping between enrollment stages and decision logic, so configuration must explicitly define each branch that consumes liveness and matching outputs.
Underestimating integration effort when consolidating capture devices and formats
IDEMIA integration effort rises when consolidating multiple capture devices and formats, so the integration plan must account for environment-specific governance of capture settings and formats.
Assuming a template conversion layer can replace orchestration decisions
M2SYS Technology can standardize template handling and interchange, but workflow configuration requires careful setup to avoid template and matching mismatches across verification pipelines.
Selecting matching scale-out components without planning for threshold tuning
Cognitec requires careful tuning of matching thresholds to meet false acceptance rate and false rejection rate targets, so buyers should budget tuning time instead of only integration time.
How We Selected and Ranked These Tools
We evaluated Daon, Socure, and Jumio alongside the other reviewed biometrics tools on features, ease of integration, and value. Feature scoring emphasized workflow wiring between capture checks, liveness or presentation-attack controls, and the final verification decision output.
Ease scoring emphasized API-driven orchestration and the amount of integration work visible in each tool’s enrollment-to-decision path. Value scoring weighted implementation effort versus the decision outcomes delivered, and Daon led the rankings because its policy-driven decision workflow ties liveness and matching outcomes into one configurable verification path while keeping capture-to-decision behavior consistent.
Frequently Asked Questions About biometrics software
How do Socure and Jumio differ in decision orchestration for biometric verification flows?
Which products in the list provide API-first integration for biometric enrollment and server-side verification?
What breaks if a deployment lacks end-to-end template lifecycle handling during enrollment and re-enrollment?
When teams need audit logs and governed exception handling around biometric verification, how do Socure and IDEMIA compare?
How does iProov handle presentation attack detection compared with FaceTec when liveness must be consistent at scale?
Which workflow pattern fits on-device matching versus server-side matching needs across this list?
What integration work is typically required when adopting Cognitec or M2SYS Technology for biometric data interchange and template handling?
How do RBAC-style admin controls and operational visibility differ between Herta Security and Daon?
When finger and face modalities both matter, how do IDEMIA and Daon differ in modality and decision packaging?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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