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Cybersecurity Information SecurityTop 10 Best Mobile Identity Verification Software of 2026
Top 10 mobile identity verification software ranking for technical teams, with Shufti Pro, Trulioo, and IDnow comparisons and tradeoffs.
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
Shufti Pro is the best fit for teams running mobile onboarding automation that needs API-driven evidence collection and review governance, while IDnow is a strong alternative if you’re a regulated organization relying on API-driven mobile KYC with automated decisioning and case traceability.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Shufti Pro
Configurable verification flows with API result payloads that fit custom KYC state machines and downstream decision handling.
Built for fits when teams need mobile onboarding automation with API-driven evidence collection and review governance..
Trulioo
Editor pickAPI-driven KYC orchestration that returns both identity verification outcomes and screening signals for one decision flow.
Built for fits when identity proofing plus compliance screening must be orchestrated via API for mobile onboarding..
IDnow
Editor pickEvidence-first verification session output that ties document capture and selfie results to a caseable result object.
Built for fits when regulated teams need API-driven mobile KYC workflows with case traceability and automated decisioning..
Related reading
- Cybersecurity Information SecurityTop 10 Best Digital Identity Verification Software of 2026
- SecurityTop 10 Best Mobile Device Security Software of 2026
- Cybersecurity Information SecurityTop 10 Best Customer Identity Verification Software of 2026
- Cybersecurity Information SecurityTop 10 Best Identity Verification Services of 2026
Comparison Table
Shufti Pro
API-firstIdentity verification platform for mobile document checks, facial verification, and AML screening.
Configurable verification flows with API result payloads that fit custom KYC state machines and downstream decision handling.
Shufti Pro supports end-to-end KYC workflow automation through an API that initiates verifications, captures evidence, and delivers structured results for risk, compliance, and user state transitions. Mobile flows can include selfie verification alongside document authentication, so identity evidence can be validated without routing users through separate tools. Admin workflows support operational oversight of verification sessions, including review handling when a manual step is required.
A practical tradeoff is that teams that need high custom evidence formats or deeply customized review UI must adapt to Shufti Pro's provided evidence capture and result structures. Shufti Pro fits best when onboarding requires repeatable automation across many users, with centralized governance over verification requests and review outcomes.
- +REST API verification endpoints support automated KYC orchestration
- +Liveness checks reduce acceptance of spoofed selfie attempts
- +Document authentication with extraction supports consistent identity evidence validation
- +Admin controls support managing verification sessions across teams
- –Evidence capture constraints can limit custom UI for specific onboarding journeys
- –Manual review workflows require operational process design to scale throughput
- –Step-up authentication use can require careful mapping of decision codes
- –Deep audit trail needs additional integration work in downstream systems
KYC engineering teams
API-driven onboarding evidence collection
Reduced manual onboarding steps
Risk operations teams
Step-up identity evidence validation
Lower account takeovers
Show 2 more scenarios
Compliance operations teams
Case management for verification reviews
More consistent case outcomes
Operational controls help coordinate review queues when automated decisions require human handling.
Product teams
Mobile-first identity proofing flows
Higher completion rates
Selfie verification paired with document checks supports onboarding journeys inside mobile apps.
Best for: Fits when teams need mobile onboarding automation with API-driven evidence collection and review governance.
More related reading
Trulioo
API-firstIdentity platform with mobile-ready verification, business verification, and global data coverage.
API-driven KYC orchestration that returns both identity verification outcomes and screening signals for one decision flow.
Trulioo targets KYC workflow automation where identity proofing, document intelligence, and watchlist style screening must run from a single integration surface. The mobile flow is designed for onboarding use cases that require consistent data capture, extraction, and verification results that can be persisted for downstream risk scoring. Trulioo also provides configuration controls that let teams choose what checks run and how results are returned to their application.
A practical tradeoff is that teams need clear internal governance for what to do with partial matches and ambiguous results, because verification decisions depend on the configured rule set and evidence fields. Trulioo fits situations where mobile onboarding requires both identity verification and compliance screening in one orchestration layer rather than splitting work across separate vendors.
- +REST API integration supports automated KYC decisions and evidence capture
- +Configurable verification flows reduce custom orchestration logic in app code
- +Watchlist screening results can be returned alongside identity verification outputs
- +Mobile onboarding can reuse the same verification surfaces across regions
- –Ambiguous match handling requires governance in workflow decision logic
- –Document quality variability can increase manual review rates in edge cases
- –Deep customization of user-facing capture UX needs additional frontend work
- –Operational tuning is needed to keep throughput consistent during spikes
Compliance engineering teams
KYC workflow automation for mobile onboarding
Fewer vendor handoffs
Risk operations teams
Step-up checks for high-risk sessions
Lower fraud exposure
Show 2 more scenarios
Product engineering teams
REST API driven identity verification
Repeatable workflow execution
Build verification orchestration, evidence storage, and decisioning logic from API responses.
Identity program managers
Region-based KYC configuration
Consistent compliance controls
Configure which checks run and how results map into internal audit evidence.
Best for: Fits when identity proofing plus compliance screening must be orchestrated via API for mobile onboarding.
IDnow
enterpriseIdentity verification software for mobile onboarding with automated and video-based verification options.
Evidence-first verification session output that ties document capture and selfie results to a caseable result object.
IDnow supports mobile onboarding flows that combine document and selfie checks and returns structured verification results for automated decisioning. The integration pattern emphasizes REST API usage to initiate verification sessions, fetch outcomes, and map verification artifacts to business records. Governance is reinforced through audit-friendly outputs that administrators can use to review verification decisions and evidence links. Implementation tends to be stronger for teams that already manage KYC cases and need deterministic API-driven status handling.
A tradeoff is that complex channel coverage for edge cases often requires careful configuration of verification steps and document settings per geography and risk rules. It fits scenarios where onboarding must run at throughput scale with minimal operator intervention while maintaining case-level traceability. Teams commonly use IDnow when step-up authentication or periodic re-verification needs to reuse identity evidence patterns rather than redesigning the full onboarding UI each time.
Integration depth is most visible when identity verification is part of a larger identity stack that already owns user profile storage, risk decisions, and case lifecycle transitions.
- +API-first flow initiation with session status polling for onboarding automation
- +Structured results that map cleanly into KYC case decision workflows
- +Configurable verification steps for consistent multi-step mobile onboarding
- +Evidence-focused outputs support regulator-facing case documentation
- –Edge-case coverage can require careful configuration per document and region
- –Full workflow tailoring depends on integration effort from engineering teams
- –Operators still need processes for exception handling when verification fails
- –Testing coverage requires realistic device and capture conditions
Compliance operations teams
Automate KYC decision evidence packaging
Faster audits with consistent case records
Identity engineering teams
Embed verification into existing onboarding
Less manual onboarding work
Show 2 more scenarios
Risk and fraud teams
Run step-up checks on suspicious users
Lower risk exposure on repeat attempts
Triggers additional verification steps and uses outcome states to decide allow, deny, or manual review.
Product teams
Support multi-step regulated onboarding
More consistent completion rates
Coordinates capture and verification steps with deterministic statuses for smoother user flows.
Best for: Fits when regulated teams need API-driven mobile KYC workflows with case traceability and automated decisioning.
Sumsub
enterpriseVerification platform with mobile identity checks, liveness, AML screening, and onboarding workflows.
Workflow automation via REST API and webhooks that turns verification steps and outcomes into system events.
Sumsub combines mobile identity proofing with configurable KYC workflow orchestration, using document checks and selfie verification as part of end-to-end applicant onboarding. It provides a REST API and automation hooks for verification state transitions, evidence collection, and step-up flows when risk rules trigger.
Administrative controls support role-based access and audit-friendly traceability across submissions, decisions, and webhooks. For teams that need high throughput across multiple verification types, its integration surface focuses on provisioning workflows and managing results through API events.
- +Configurable KYC workflows with API-driven state transitions
- +Webhook event model supports verification and decision automation
- +Role-based access controls with submission and decision traceability
- +Support for multiple identity verification flows per application
- –Complex workflow configuration can require engineering time
- –Higher effort to standardize evidence fields across teams
- –Edge-case handling for document quality may need manual review setup
- –Liveness and biometric parameters often require careful tuning
Best for: Fits when mobile KYC must integrate tightly with an internal risk engine and decisioning pipeline.
iDenfy
SMBMobile identity verification software with ID document scanning, selfie checks, and fraud prevention tools.
Webhook-based verification status callbacks provide near-real-time automation for KYC step-ups after identity proofing.
iDenfy performs mobile identity proofing for KYC workflows by combining document image capture with automated OCR extraction and face-to-selfie matching. The service supports REST API verification so identity checks can be embedded into onboarding steps across web and mobile stacks.
Workflow configuration covers common document types and liveness styles, with verification results returned in a way meant for audit trails and downstream decisioning. Admin handling focuses on project-based control of verification flows and webhook delivery so systems can react to completed checks.
- +REST API verification fits custom onboarding and decision engines
- +Document OCR extraction reduces manual capture and keying
- +Webhook-driven results support automation without polling
- +Configurable verification flows cover typical KYC identity evidence paths
- –Liveness tuning is limited compared with specialist providers
- –Outcome handling requires engineering for consistent error mapping
- –Complex multi-country setups need careful flow configuration
- –Admin governance features like fine-grained RBAC may be constrained
Best for: Fits when teams need API-first mobile KYC with document OCR and automated decision automation.
Entrust Identity Verification
enterpriseIdentity verification software with mobile document validation, biometric checks, and onboarding support.
Reusable verification flow configuration that lets teams standardize mobile evidence handling across multiple onboarding journeys.
Entrust Identity Verification is built for teams that need mobile identity proofing with an enterprise deployment path and external system integration. It supports document capture with OCR and ICAO-style MRZ parsing, then routes the captured evidence into identity evidence validation and decisioning workflows.
The solution also exposes a REST API for programmatic verification orchestration, plus configuration for reusable verification flows across channels. Governance focuses on operational controls such as audit-friendly reporting and role-restricted administration for review teams.
- +REST API supports automated KYC workflow orchestration from mobile onboarding
- +Document parsing and extraction are designed for ICAO-style MRZ evidence
- +Configurable verification workflows support reuse across multiple customer journeys
- +Admin controls support role separation for evidence review and operations
- –Integration requires careful wiring of mobile capture events to verification steps
- –Advanced governance settings can require more operational discipline than smaller teams expect
- –Throughput tuning depends on upstream capture quality and retry handling
- –Queue and review workflows need explicit design when exceptions are common
Best for: Fits when compliance-heavy onboarding needs API-driven workflow control across document capture and decisioning.
AU10TIX
enterpriseIdentity verification and fraud prevention software for mobile document and biometric verification flows.
Workflow orchestration that routes document checks and biometric matching into configurable decision steps with audit trail coverage.
AU10TIX is a mobile identity verification vendor that focuses on automated KYC workflow orchestration across identity evidence, capture checks, and risk decisions. It combines document authentication with selfie verification and configurable decision steps intended to support high-volume onboarding.
AU10TIX also provides an integration surface designed for SDK or REST-style embedding into mobile apps and back-office verification services. Governance features include role-based administration, configurable processing settings, and audit logging to support compliance review trails.
- +Configurable KYC workflow steps with consistent decision handoffs
- +Document authentication paired with selfie verification for end-to-end identity checks
- +Audit log supports traceability across capture, verification, and decision actions
- +Integration options for mobile embedding and back-office automation
- –Tuning liveness and matching thresholds requires careful operational governance
- –Complex multi-step setups can add integration and QA time for mobile flows
- –Some onboarding variants depend on additional configuration per evidence type
- –High throughput testing is needed to size mobile capture payloads
Best for: Fits when regulated onboarding teams need workflow control and traceability for mobile identity evidence and selfie checks.
Didit
API-firstIdentity verification platform for mobile onboarding with document checks, biometrics, and reusable identity flows.
Guided capture orchestration for mobile document and selfie collection that reduces evidence drift across sessions.
Didit is a mobile identity verification product focused on guided capture and document plus selfie verification. It supports liveness detection and OCR-driven identity document extraction to feed a KYC workflow with a mobile-first onboarding flow. Didit integrates with verification journeys through an API-first approach that fits teams building REST API verification into their own onboarding and step-up authentication paths.
- +Document capture to structured fields via OCR suitable for downstream KYC checks
- +Guided mobile onboarding flows reduce variance in selfie and document acquisition
- +Liveness detection is built into the mobile verification journey
- +API integration supports embedding verification into existing identity workflows
- –Queue and review handling details can require process design to match operations
- –Selfie quality failures can increase re-try cycles when user capture conditions drift
- –Granular control over evidence display and reviewer tooling is limited compared to full casework suites
- –Workflow configuration still needs careful alignment with local compliance audit needs
Best for: Fits when mid-size teams need API-driven mobile identity evidence capture with guided document and selfie steps.
Veridas
vertical specialistBiometric identity verification uses facial recognition, voice biometrics, and presentation attack detection.
End-to-end verification orchestration that couples document authentication decisions with selfie verification artifacts.
Veridas performs mobile identity verification by combining document authentication with biometric selfie verification steps in a KYC workflow. The product is built for integration through an API and SDK-oriented onboarding flows that can feed identity evidence validation into downstream case management.
Veridas supports automation of verification decisions and exception handling so teams can enforce consistent rules across channels. Audit-ready outputs focus on traceability of each verification step and the artifacts used for decisions.
- +API-driven verification pipeline supports document and selfie steps in one flow
- +Decision outputs include step traceability for governance and support reviews
- +Configurable KYC workflow logic supports exceptions and rule-based branching
- +Integration artifacts are reusable across onboarding channels
- –Workflow configuration takes time to reach consistent results across device conditions
- –Some advanced screening workflows require external systems for full watchlist coverage
- –Narrower evidence formats may need preprocessing before API ingestion
- –Fine-grained tuning of biometric thresholds needs engineering review
Best for: Fits when teams need API and workflow automation for mobile KYC with documented step traceability.
Socure
enterpriseDigital identity verification combines document checks, biometric matching, liveness detection, and risk signals.
Decisioning and rule configuration that pairs identity risk signals with evidence from mobile capture.
Socure targets mobile identity verification with decisioning focused on identity risk signals rather than only single-step checks. It supports a REST API workflow for step-up flows and identity evidence validation, including liveness and document authentication inputs. Admin and governance features center on configurable verification rules, access controls, and audit visibility for compliance teams.
- +API-first verification workflow supports step-up and evidence orchestration
- +Configurable rule controls help keep KYC outcomes consistent across channels
- +Audit-oriented operations support investigations and governance review cycles
- +Mobile onboarding fits high-throughput identity proofing needs
- –Integration requires mapping signals into a scoring and decision strategy
- –Less guidance for end-to-end automation than workflow-native vendors
- –Coverage varies by evidence type and requires test coverage per use case
- –Operational tuning can take multiple iterations for stable false-positive rates
Best for: Fits when teams need technical control over mobile KYC decision flows with strong audit visibility.
Conclusion
After evaluating 10 cybersecurity information security, Shufti Pro 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 mobile identity verification software
Mobile identity verification software coordinates mobile document capture and selfie verification into an evidence-driven KYC workflow that can be run through REST API orchestration and automated decision steps. This guide covers Shufti Pro, Trulioo, IDnow, Sumsub, iDenfy, Entrust Identity Verification, AU10TIX, Didit, Veridas, and Socure.
Teams typically evaluate whether verification results return as integration-ready objects or as workflow events, because the integration shape determines how quickly KYC state machines can be automated. The comparison also focuses on how workflow configuration, result traceability, and operational governance affect throughput and handling of edge cases.
Mobile identity verification software that runs API-driven KYC workflows on documents and selfies
Mobile identity verification software captures mobile identity evidence, validates it through document authentication and selfie verification, and returns results that can drive a KYC workflow. The key buying difference is how each vendor exposes verification outcomes for automation, including whether evidence collection and step traceability land in a structured session object or in event callbacks.
Shufti Pro is built for teams that need configurable verification flows with REST API result payloads that fit custom KYC state machines, with liveness checks included to reduce acceptance of spoofed selfie attempts. Sumsub is built around workflow automation that uses a REST API plus webhooks to turn verification steps and outcomes into system events for downstream decision pipelines.
Mobile KYC automation features that change integration shape
Mobile identity verification vendors differ most in how verification outputs land in the engineering surface. Some tools return structured REST payloads that map directly into a KYC state machine, while others publish step events through webhooks for an event-driven pipeline.
These differences affect throughput, retry behavior, and governance when edge cases appear. The feature set also determines whether evidence stays traceable per verification step or gets flattened into a decision without step granularity.
REST API result payloads vs event webhooks for workflow orchestration
Shufti Pro returns API result payloads that fit custom KYC state machines, which helps teams drive onboarding automation from a single API response flow. Sumsub uses REST API plus webhooks to turn verification steps and outcomes into system events for downstream decision pipelines.
Session objects with caseable traceability vs raw step outcomes
IDnow initiates API-first sessions with status polling and structured results that map into case decision workflows. Veridas provides end-to-end orchestration where decision outputs include step traceability for governance and support reviews.
Configurable verification flow design for decision logic consistency
Trulioo exposes API-driven KYC orchestration that returns identity verification outcomes and screening signals for one decision flow. AU10TIX routes document checks and selfie verification into configurable decision steps with audit trail coverage.
Evidence capture orchestration for mobile step-by-step acquisition
Didit provides guided capture orchestration for mobile document and selfie collection, which reduces evidence drift across sessions. iDenfy focuses on REST API verification with document OCR extraction and webhook-based verification status callbacks for near-real-time KYC step-ups.
Reusable verification flow configuration across multiple onboarding journeys
Entrust Identity Verification supports reusable verification flow configuration so the same mobile evidence handling can be standardized across onboarding journeys. Shufti Pro also supports configurable verification flows, with REST API outputs designed to fit downstream decision handling.
Choose by integration surface, not by feature checklists
Selecting mobile identity verification software works best when the evaluation starts from how the product integrates into an existing KYC system. Teams that already run a state machine often prioritize structured REST payloads, while teams with an event pipeline often prioritize webhooks and clear step events.
The second decision focuses on governance and operational handling of edge cases. Some vendors provide workflow-native state transitions and step traceability that reduce ambiguity, while others require tighter engineering governance to keep match outcomes and evidence mapping consistent.
Map the verification output to the internal workflow engine
If the internal system expects a structured session result to advance state, select Shufti Pro or IDnow because both provide API-driven outputs that fit onboarding automation. If the internal system expects step events and downstream automation, select Sumsub or iDenfy because both emphasize event-like automation through webhooks and callback-style status delivery.
Decide whether decision logic lives in the vendor workflow or in app code
If decision logic should be coordinated through configurable verification flows, select Trulioo or AU10TIX so API orchestration or workflow steps can carry consistent decision handoffs. If decision logic stays in the application, validate that the vendor’s outputs are unambiguous and map cleanly into internal match handling so governance stays tractable.
Validate step traceability needs for regulated operations
If step traceability must be used for governance and support, prioritize IDnow or Veridas because both surface step-level artifacts or structured results that map to case workflows. If the team plans to handle traceability by correlating internal review records to vendor evidence, confirm that the vendor supports consistent step identifiers across the full flow.
Check how evidence field standardization impacts scaling
If the organization has multiple teams that need standardized evidence fields, Entrust Identity Verification’s reusable flow configuration can reduce variance across onboarding journeys. If scaling depends on operational processing of varied document quality, evaluate whether the vendor’s edge-case behavior increases manual review rates in practice, which is a stated risk with Trulioo.
Stress-test mobile capture variance against onboarding retries
If mobile user conditions often cause selfie or document acquisition failures, Didit’s guided capture orchestration can reduce evidence drift, but retries may still rise when selfie quality fails. If rapid step-up automation after identity proofing is the key requirement, iDenfy’s webhook-based verification status callbacks provide near-real-time automation that can shorten retry loops.
Plan operational governance for threshold tuning and configuration complexity
If governance requirements include careful tuning of matching and liveness thresholds, AU10TIX requires operational governance discipline because tuning thresholds needs careful setup. If engineering time is limited, choose vendors that reduce configuration complexity for consistent evidence handling, because Sumsub’s complex workflow configuration can require engineering time.
Teams that should shortlist each mobile identity verification shape
Mobile identity verification fits teams that run KYC workflows with automation requirements for onboarding, step-up authentication, or case management. The best fit depends on whether workflow control sits inside the vendor integration or inside the team’s own orchestration layer.
Shortlists should also account for mobile capture variance and the amount of operational governance the team can support across document types and regions.
KYC engineering teams building custom onboarding state machines
Shufti Pro provides REST API result payloads designed to fit custom KYC state machines and downstream decision handling, which reduces glue code for state transitions.
Compliance teams that need workflow-native traceability for case handling
IDnow ties document capture and selfie verification into evidence-first session outputs with caseable result objects, which supports traceable onboarding automation.
Risk and fraud teams with an internal event-driven decisioning pipeline
Sumsub’s REST API plus webhook event model converts verification outcomes into system events, which aligns with internal pipelines that consume step events.
Mid-size teams that need guided mobile capture with less user variance
Didit’s guided capture orchestration reduces evidence drift across sessions, which helps teams manage variability in mobile document and selfie acquisition.
Regulated onboarding teams that require configurable workflow steps with audit trail coverage
AU10TIX provides configurable KYC workflow steps that route document checks and biometric matching into decision steps with audit trail coverage.
Common failure modes in mobile identity verification integrations
The most frequent integration mistakes come from treating verification outputs as interchangeable. Teams can get stuck when the vendor returns either ambiguous match handling or a workflow event model that does not map cleanly to internal state.
Operational mistakes also appear when configuration complexity and threshold governance are underestimated. Setup discipline for workflow tailoring can decide whether automation actually reduces manual review volume.
Assuming all vendors return the same kind of automation-ready output
Shufti Pro and IDnow return structured REST payloads and session-style objects, while Sumsub relies on webhooks for step events, so internal workflow mapping must match the integration shape.
Underestimating governance work needed for match handling and thresholds
Trulioo flags ambiguous match handling as an area needing governance in workflow decision logic, and AU10TIX requires careful tuning of liveness and matching thresholds for consistent results.
Building a UI that assumes fully customizable evidence capture steps
Shufti Pro’s evidence capture constraints can limit custom UI for specific onboarding journeys, so app and UX teams should validate custom flow needs against the vendor’s capture flexibility.
Standardizing evidence fields too late in a multi-team rollout
Sumsub notes higher effort to standardize evidence fields across teams, so schema alignment work should happen before scaling onboarding to multiple product teams.
Delaying operational process design for manual review coverage
Shufti Pro warns that manual review workflows require operational process design to scale throughput, so review queues, SLAs, and retry rules must be defined alongside automation.
How We Selected and Ranked These Tools
We evaluated mobile identity verification vendors by how their REST API results or webhook event models fit KYC workflow automation, and we weighted feature depth at 40% because orchestration shape drives engineering effort. We weighted ease of integration and operational handling at 30% because workflow configuration complexity and evidence mapping can dominate delivery timelines.
We weighted value at 30% based on how quickly each vendor’s output structure supports automated decisions without heavy rework. Shufti Pro ranked highest because its REST API verification endpoints return result payloads designed to fit custom KYC state machines and because its configurable verification flows include liveness checks that reduce acceptance of spoofed selfie attempts.
Frequently Asked Questions About mobile identity verification software
How do Shufti Pro and Sumsub differ in API payloads for verification state transitions?
Which platform provides the most traceable evidence object that links document and selfie results?
What breaks if a team needs guided capture to prevent evidence drift across sessions?
Which tool is better when screening signals must be returned in the same decision flow as identity proofing?
How does Entrust Identity Verification handle MRZ parsing when onboarding requires document authentication plus structured identity evidence?
What is the main tradeoff between AU10TIX and Veridas when teams require exception handling and configurable decision steps?
When should administrators choose RBAC-style access controls like Sumsub and Shufti Pro for multi-team verification management?
Which platform is a better fit for SDK-based embedding into mobile apps versus REST-only orchestration?
How do iDenfy and Didit differ in the evidence extraction path from documents to verification inputs?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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