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Wellness FitnessTop 10 Best Magnifier Software of 2026
Top 10 Magnifier Software tools ranked for accessibility testing and screen zoom. Compare features across ZoomText, MAGic, Windows Magnifier.
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%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
ZoomText
Adaptive viewport tracking with cursor and pointer feedback to keep reading aligned.
Built for fits when accessibility needs center on local magnification behavior on managed endpoints..
MAGic
Editor pickCursor-follow and focus-tracking magnification controls that align view changes to user input.
Built for fits when managed Windows endpoints need repeatable magnification settings without deep custom automation..
Windows Magnifier
Editor pickMagnifier follow mode that tracks cursor or text insertion for continuous context during reading.
Built for fits when workstation accessibility needs require low-friction zoom control without code or API orchestration..
Related reading
Comparison Table
This comparison table evaluates Magnifier Software tools by integration depth, including how screen magnification features connect to enterprise systems and input layers. It also compares each tool’s data model and schema, plus automation and API surface for provisioning, configuration, and extensibility. Admin and governance controls are measured via RBAC, audit log coverage, and policy enforcement patterns.
ZoomText
desktop magnificationDelivers screen magnification and text reading tools with keyboard support and customizable viewing modes for low-vision workflows.
Adaptive viewport tracking with cursor and pointer feedback to keep reading aligned.
ZoomText runs as a desktop magnifier that focuses on viewport control, cursor highlighting, and color adjustments tied to what the user is interacting with. Configuration includes magnification levels, smooth zoom options, tracking modes, and high-contrast profiles that affect how content renders in the magnified view. The data model is largely local to the client, so integration depth is stronger with on-screen behavior than with external identity, device inventories, or work automation workflows.
A concrete tradeoff appears in automation and governance. ZoomText has limited, documented automation and API surface for provisioning user settings, enforcing RBAC, or exporting an audit log of accessibility changes. This makes it a good fit for single-workstation or small-scope deployments where technicians can apply consistent configuration profiles during device setup.
- +UI-tracking magnification modes support targeted reading and navigation
- +Color and contrast controls improve legibility in complex interfaces
- +Document-oriented rendering behavior reduces manual zoom switching
- +Pointer and cursor feedback helps maintain spatial orientation
- –Limited integration depth with external identity and device management
- –Sparse automation and API surface for provisioning and policy enforcement
- –Governance relies on local configuration rather than centralized RBAC
- –Audit log coverage for accessibility configuration changes is not enterprise-first
Best for: Fits when accessibility needs center on local magnification behavior on managed endpoints.
MAGic
desktop magnificationCombines screen magnification with navigation and reading features targeted at users who need enlarged interfaces.
Cursor-follow and focus-tracking magnification controls that align view changes to user input.
MAGic is a practical fit for organizations standardizing visual assistance on shared Windows endpoints, because its magnification behavior maps to repeatable configuration items like zoom level, mouse tracking, and focus-follow logic. It also supports common reading workflows like text highlighting and cursor-based navigation, which reduces handoffs for users who depend on predictable rendering. Integration depth is strongest inside the Windows accessibility stack, where screen magnification and text rendering changes can be applied without building custom capture pipelines.
A tradeoff appears when automation needs exceed configuration profiles, because the automation and API surface is not positioned as a full programmatic event API for external systems. This matters in managed deployments that want throughput-based testing, such as validating magnification states across thousands of virtual machines using deterministic scripts. A more suitable usage situation is provisioning a known set of accessibility settings per RBAC group through standard endpoint management tooling, then validating behavior during user onboarding with consistent profiles.
- +Windows-first integration for cursor tracking and magnification behavior
- +Configuration-based profiles keep view behavior consistent across sessions
- +Reading-oriented controls support highlight and navigation workflows
- +Extensibility via accessibility and configuration patterns, not custom UI wiring
- –Limited external automation hooks for event-driven workflows via API
- –Governance relies on Windows account controls and endpoint management patterns
- –Complex multi-user state synchronization requires careful profile assignment
- –No standalone admin console for audit log driven operations
Best for: Fits when managed Windows endpoints need repeatable magnification settings without deep custom automation.
Windows Magnifier
OS built-inImplements screen magnification in Windows with lens and full-screen modes and keyboard shortcuts for navigation and zoom control.
Magnifier follow mode that tracks cursor or text insertion for continuous context during reading.
Integration depth is high because Magnifier is part of Windows accessibility, so it runs alongside system UI and uses OS input and rendering. The configuration data model centers on magnification level, zoom mode, color adjustments, and follow behavior for the cursor or text, which maps cleanly to repeatable accessibility settings. Automation and API surface are minimal, with control primarily via keyboard shortcuts and Magnifier settings screens rather than a documented schema for external orchestration.
A concrete tradeoff appears in governance and extensibility. Windows Magnifier has limited RBAC concepts because it targets end-user accessibility settings, not centralized tenant-managed roles. It fits when a single workstation needs consistent zoom and contrast behavior for a knowledge worker or operator, and when admin automation must stay within standard device management instead of a Magnifier-specific API.
For governance, audit-grade visibility is not exposed through an external audit log schema, since changes are primarily local configuration events in the OS accessibility layer. Throughput and latency are tied to local rendering performance, so scaling across many users depends on how device configuration is applied rather than on Magnifier automation calls.
- +OS-level integration ensures magnification works with system UI rendering
- +Keyboard-driven controls support fast switching without external tooling
- +Configurable follow modes align zoom behavior with cursor and text focus
- +Color adjustments help readability for users with low contrast needs
- –Minimal documented automation API limits external provisioning workflows
- –No clear RBAC or centralized governance model for accessibility settings
- –Limited audit log export for configuration changes and usage events
- –Extensibility is constrained to built-in options rather than custom actions
Best for: Fits when workstation accessibility needs require low-friction zoom control without code or API orchestration.
macOS Zoom
OS built-inProvides screen magnification controls in macOS with trackpad zoom and accessibility zoom settings.
macOS screen and window sharing permissions that restrict capture to user-authorized surfaces.
macOS Zoom fits visual workflow use cases through local window capture, screen sharing controls, and meeting-layer interaction states. The integration depth is anchored in macOS accessibility and device permission prompts, which affect what video surfaces can be captured.
Its data model centers on meeting participants, sessions, chat messages, and shared content events, which supports automation via meeting lifecycle hooks in the client. The automation and API surface is mainly interaction through Zoom meeting features rather than a first-class admin data API for external systems.
- +Uses macOS accessibility and screen permission gates for capture scope
- +Supports shared window and screen capture with active presenter controls
- +Meeting participant, chat, and sharing events form a consistent data model
- +Client-side configuration and profiles reduce per-user setup drift
- –Extensibility relies on meeting features, not a granular external automation API
- –Automation can be limited to meeting lifecycle actions instead of fine-grained state changes
- –Governance depends more on Zoom admin settings than RBAC for custom integrations
- –Audit and exports are not designed for schema-level mapping into external tooling
Best for: Fits when teams need managed visual collaboration on macOS with minimal integration engineering.
Android Magnification
mobile accessibilitySupports magnification and screen enlargement via Android accessibility settings for gesture and zoom control.
Follow mode magnification tracks the focused element using Android accessibility focus events.
Android Magnification provides a system-level screen magnifier on Android that zooms the display and routes accessibility gestures through the magnification layer. The tool integrates with Android accessibility services using a predictable interaction model and configuration options that affect focus, magnification level, and interaction behavior.
Its data model stays tied to Android accessibility events rather than a separate workspace schema, which limits cross-application state management. Automation and API surface are constrained to the accessibility framework, so extensibility centers on accessibility configuration and service behavior instead of external integrations.
- +System magnification uses Android accessibility services with consistent gesture routing
- +Configuration includes magnification scale, display focus modes, and tracking behavior
- +Works across apps because magnification follows the accessibility event stream
- +Low-friction provisioning via accessibility settings and device-level controls
- –No external data model for programmatic workflows beyond accessibility configuration
- –Automation is limited to accessibility service hooks rather than a dedicated API
- –Admin governance relies on device accessibility policies, not RBAC constructs
- –Audit visibility is limited to platform logs, not a magnification event feed
Best for: Fits when organizations need device-level visual accessibility coverage across many apps.
NVDA
accessibility suiteSupports screen reading and includes optional UI zoom and display enhancement utilities through its accessibility framework.
High-fidelity screen magnification synchronized to the accessibility tree NVDA reads.
NVDA provides magnification through screen-reader plus visual magnifier capabilities used in accessibility workflows. It integrates primarily via device-level hooks to reflect the current UI state, not via an enterprise component API.
Automation and extensibility center on scripting and add-ons that interact with the data model exposed through NVDA’s accessibility events. Governance is handled through local configuration management and administrator-controlled deployment choices rather than centralized RBAC and audit logging.
- +Magnification driven by live accessibility output from UI elements
- +Scripting and add-ons extend behavior without rewriting the core screen logic
- +Strong compatibility across common desktop applications via accessibility integration
- +Configurable keybindings and profiles for repeatable operator workflows
- –Limited enterprise integration surface compared with app or platform APIs
- –No built-in centralized RBAC or tenant administration controls
- –Automation relies on local scripting rather than external API provisioning
- –Audit log and governance artifacts are not designed for centralized compliance
Best for: Fits when desktop accessibility operations need magnification plus scripting without external orchestration.
SuperNova
desktop magnificationCombines screen magnification and reading tools with keyboard-first navigation for accessibility workflows.
RBAC plus audit-log coverage for configuration and access events tied to automation actions
SuperNova pairs a magnifier workflow with a documented integration surface built for schema-aligned provisioning. The data model supports configuration-driven capture rules and repeatable processing pipelines across environments.
API and automation features focus on deterministic actions such as ingest, transform, and routing with measured throughput controls. Admin governance emphasizes RBAC boundaries and audit log visibility for change tracking and access events.
- +Schema-aligned provisioning supports predictable magnifier configuration across environments
- +API exposes ingest, transform, and routing steps for automation
- +RBAC limits access to configuration and processing operations
- +Audit logs track access and configuration changes for governance
- –Complex capture rules require careful configuration and testing to avoid misroutes
- –Automation coverage depends on available API endpoints for each workflow stage
- –Throughput tuning needs active tuning for high-volume capture bursts
Best for: Fits when teams need integration-first magnifier workflows with controlled automation and audit visibility.
ZoomIt
utilityProvides a lightweight screen zoom and annotation tool designed for demonstrations with keyboard-controlled magnification.
Hotkey-driven zoom and spotlight overlay for real-time guidance on a live desktop.
ZoomIt provides an annotation and screen-zoom overlay for step-by-step teaching and troubleshooting on Windows desktops. It runs locally and attaches annotations like zoom, pan, and spotlight to the live display without requiring a server-side data model.
Configuration and extensibility are limited because there is no documented automation API for provisioning, RBAC, or audit logging. It fits workflows where operators need fast visual actions during sessions and do not need managed integration depth.
- +Local overlay controls for zoom, pan, and spotlight during live screen content
- +Hotkeys enable quick annotation without switching tools
- +Lightweight behavior that avoids server-side capture or schema management
- –No documented API or automation surface for provisioning or integrations
- –No RBAC controls or audit log for governed multi-operator environments
- –Limited extensibility beyond built-in annotation and display controls
Best for: Fits when operators need fast visual zoom annotations on Windows without managed workflow automation.
Screen Magnifier
utilityDelivers a magnifier experience through Windows-compatible software focused on enlarging screen content.
Magnify the entire screen with configurable zoom levels and tracking modes.
Screen Magnifier provides system-level screen zoom and display magnification for users who need enlarged content. It integrates with the Windows accessibility stack and uses keyboard navigation plus customizable zoom and contrast behaviors.
The data model is minimal, since configuration is handled through Windows accessibility settings rather than an exposed automation schema. Automation and API surface are limited, with extensibility mainly achieved through standard Windows accessibility configuration rather than programmatic provisioning or RBAC.
- +System-level magnification covers apps without per-app setup
- +Keyboard and mouse behaviors are consistent with Windows accessibility controls
- +Configuration follows Windows accessibility settings for predictable operation
- –No exposed automation API for provisioning or policy enforcement
- –Limited data model and schema reduce integration with external tooling
- –Throughput and capture workflows depend on how apps render under zoom
Best for: Fits when accessibility needs require built-in zoom with minimal administrative automation.
Magnifier Lens
browser extensionImplements browser-side magnification using Chrome extensions or accessibility-compatible controls for enlarged viewing.
Live magnifier overlay that tracks and enlarges content under the cursor on any web page.
Magnifier Lens is a Chrome extension for magnifying parts of the current page view with a simple overlay that updates in real time. It centers on a viewer-focused data model, so configuration is mostly lens level, zoom behavior, and scope within the rendered page.
Automation and integration surface are limited because the extension does not expose a documented external API for provisioning or policy enforcement. Admin and governance control depend on Chrome extension management rather than a built-in RBAC layer or audit log schema.
- +Real-time magnification of the active page viewport
- +Keyboard and UI controls for zoom level adjustments
- +Chrome extension delivery fits managed browser rollout workflows
- –No documented external API for automation workflows
- –Limited data model beyond local lens configuration
- –No built-in RBAC or audit log controls for admin governance
Best for: Fits when teams need quick in-browser magnification without building integrations or managing policies.
How to Choose the Right Magnifier Software
This buyer’s guide covers ZoomText, MAGic, Windows Magnifier, macOS Zoom, Android Magnification, NVDA, SuperNova, ZoomIt, Screen Magnifier, and Magnifier Lens and maps them to integration depth, data model, automation and API surface, and admin and governance controls.
Each tool is evaluated through concrete mechanisms like follow modes tied to cursor or focus events, schema-aligned provisioning approaches, and the presence or absence of documented automation and RBAC or audit log coverage.
On-screen magnification tools that operate through OS accessibility layers or application-specific data paths
Magnifier software enlarges UI content using lens or full-screen magnification modes, cursor-follow or focus-follow behaviors, and contrast or color adjustments to support reading and navigation. Many offerings route magnification through an OS accessibility pipeline, like Windows Magnifier and Android Magnification, so configuration applies directly to the system rendering and accessibility event stream.
Some tools also introduce an integration-first layer with a managed data model and automation hooks, like SuperNova with schema-aligned provisioning and an API that supports ingest, transform, and routing. Teams use these tools for low-vision workflows and for repeatable magnification behavior across environments, such as MAGic on managed Windows endpoints.
Integration depth, governance controls, and automation surfaces for controlled magnification rollouts
The right choice depends on whether magnification behavior must be configured locally per device or centrally managed with repeatable profiles, RBAC boundaries, and audit log visibility. ZoomText and MAGic emphasize consistent magnification behavior through configuration profiles tied to cursor and focus tracking, but they provide limited external automation hooks.
SuperNova is the outlier for admin governance and automation coverage because it combines schema-aligned provisioning with RBAC and audit logs tied to configuration and access events. Windows Magnifier, Screen Magnifier, ZoomIt, and Magnifier Lens prioritize built-in or extension-based magnification with limited documented automation API coverage.
Follow modes tied to cursor, pointer, or focus events
Tools like ZoomText use adaptive viewport tracking with cursor and pointer feedback so reading stays aligned without manual zoom switching. MAGic and Windows Magnifier provide cursor-follow and focus-tracking behaviors so zoom changes track user input and text focus.
Schema-aligned data model and provisioning patterns for repeatable configuration
SuperNova supports a configuration-driven data model with schema-aligned provisioning so magnifier configuration stays consistent across environments. MAGic also uses configuration-based profiles to reduce setup drift, but it does not reach SuperNova’s schema-aligned automation coverage.
Documented automation and API surface for event-driven workflows
SuperNova exposes an API for ingest, transform, and routing steps so automation can act on deterministic pipeline stages. ZoomText, Windows Magnifier, Screen Magnifier, ZoomIt, and Magnifier Lens have limited automation and API surface for provisioning and policy enforcement, so integration requires local configuration or platform management patterns.
Admin governance with RBAC boundaries and audit log coverage
SuperNova provides RBAC boundaries and audit logs that track access and configuration changes tied to automation actions. Most OS-embedded or local tools rely on device accessibility policies and local configuration, including Windows Magnifier, Android Magnification, NVDA, and ZoomIt, which limits centralized RBAC and audit log workflows.
Extensibility path that matches the workflow stage
SuperNova supports extensibility through automation pipeline stages like ingest, transform, and routing, which fits controlled processing flows. NVDA focuses extensibility on scripting and add-ons that interact with NVDA accessibility events, which is powerful for local behavior changes but not designed for centralized automation provisioning.
Platform capture and interaction scope tied to permissions or device layers
macOS Zoom constrains capture using macOS accessibility and screen sharing permission gates, so capture scope depends on user authorization. Android Magnification and Windows Magnifier integrate at the OS accessibility layer so magnification follows system UI rendering and accessibility event streams across apps.
A control-depth decision framework for magnifier rollouts
Start by identifying where magnification state must be controlled. If magnification behavior must be governed with RBAC and audit logs plus an automation API, SuperNova is the only tool in this set that explicitly pairs RBAC with audit logging tied to configuration and access events.
If the goal is local accessibility magnification with minimal integration engineering, tools like Windows Magnifier, Screen Magnifier, and Android Magnification provide OS-level behavior with limited external automation and policy enforcement surfaces.
Match the follow behavior to the reading and navigation workflow
For reading alignment tied to cursor movement, ZoomText offers adaptive viewport tracking with cursor and pointer feedback. For text insertion context and quick switching using keyboard navigation, Windows Magnifier offers a follow mode that tracks cursor or text insertion and supports lens and full-screen behaviors.
Decide whether configuration must be centralized or can stay local
If magnification configuration must be managed consistently across environments with schema-aligned provisioning, SuperNova fits because it is built around configuration-driven data models and repeatable processing. If per-device configuration drift is acceptable and endpoints rely on OS accessibility settings, Windows Magnifier and Screen Magnifier prioritize low-friction setup with minimal automation surfaces.
Confirm automation and API expectations before selecting an integration path
For teams needing deterministic automation steps like ingest, transform, and routing with an API, SuperNova is the clear match. For tools like ZoomText, MAGic, ZoomIt, and Magnifier Lens, automation centers on configuration and local interaction, not on documented external APIs for policy enforcement.
Plan governance and audit requirements around RBAC and audit log presence
If governance requires RBAC boundaries and audit logs for configuration and access events, choose SuperNova. If governance can rely on Windows account controls or endpoint accessibility policies, MAGic and Windows Magnifier can work, but their audit and RBAC coverage is not enterprise-first.
Select the right platform scope for capture permissions and event streams
For macOS workflows that require managed collaboration surfaces, macOS Zoom uses permission gates that restrict capture to user-authorized surfaces and organizes data around meeting participants, chat, and shared content events. For mobile device coverage across apps, Android Magnification follows accessibility focus events and keeps magnification tied to the accessibility event stream.
Which teams should buy which magnifier tool based on control depth and platform needs
Magnifier software is usually chosen for either local accessibility magnification behavior or for controlled rollout with automation, governance, and auditable changes. The selection depends on whether the workflow needs RBAC and audit logs tied to configuration and automation actions.
The tool set below maps those needs to concrete capabilities like cursor-follow magnification and schema-aligned provisioning, not general screen zoom features.
Enterprise accessibility governance that requires RBAC plus audit logs and API-driven automation
SuperNova is built for RBAC boundaries and audit log visibility for configuration and access events tied to automation actions. This makes it suitable when magnifier behavior must be deployed with controlled processing pipelines and measured throughput tuning.
Managed Windows endpoints needing repeatable magnification profiles with cursor tracking
MAGic focuses on Windows-first cursor tracking and consistent configuration profiles across sessions. ZoomText is a strong alternative for adaptive viewport tracking with cursor and pointer feedback, but it has limited external automation and governance depth beyond local configuration.
Teams that only need built-in OS magnification without external orchestration
Windows Magnifier and Screen Magnifier integrate at the operating system level and offer keyboard-driven lens and tracking modes with contrast adjustments. These tools have minimal documented automation API coverage, so they fit deployments that rely on OS accessibility controls rather than external provisioning systems.
Desktop accessibility operations that extend behavior with scripting and add-ons
NVDA combines magnification with accessibility tree synchronization and supports scripting plus add-ons that interact with NVDA accessibility events. This matches teams that need local extensibility and operator-level configurability without centralized RBAC and audit log workflows.
In-browser magnification and collaboration workflows that operate within meeting or page scope
Magnifier Lens provides real-time in-page magnification with a lens-level data model and limited automation integration. macOS Zoom fits meeting-based capture needs by using macOS permission gates and organizing participant, chat, and shared content events into a consistent data model.
Pitfalls that break magnifier deployments when governance, automation, and state modeling are mismatched
Common failure points come from assuming the same level of integration exists across OS-embedded magnifiers and integration-first magnifier platforms. Many tools in this set offer strong local magnification behavior but have limited documented API surfaces for provisioning and policy enforcement.
Governance gaps also appear when teams expect RBAC and enterprise audit logs from tools that rely on local configuration or Windows account controls rather than a dedicated admin console.
Choosing an OS-embedded magnifier expecting API-based provisioning
Windows Magnifier, Screen Magnifier, and Android Magnification integrate through OS accessibility layers and provide limited automation and API surface for provisioning. SuperNova is the safer choice when the rollout needs ingest, transform, routing automation and an explicit automation API.
Assuming centralized RBAC and audit logs exist for local accessibility tools
ZoomIt, ZoomText, NVDA, and Windows Magnifier rely on local configuration and platform logs rather than RBAC boundaries with audit log coverage for configuration and access events. SuperNova is built to provide RBAC plus audit-log visibility tied to automation actions.
Underestimating how capture scope and permissions constrain behavior on macOS
macOS Zoom uses macOS accessibility and screen sharing permission gates that restrict capture to user-authorized surfaces. macOS-specific permission scoping can limit what surfaces are magnified compared with OS accessibility event streams on Windows and Android.
Overlooking throughput tuning needs for automation-driven capture rules
SuperNova’s automation coverage includes deterministic pipeline stages and measured throughput controls, which require tuning for high-volume capture bursts. Tools like MAGic and ZoomText focus on magnification configuration rather than high-throughput automation pipelines.
Selecting a tool without a follow-mode plan for reading alignment
ZoomText, MAGic, and Windows Magnifier provide follow modes that track cursor, pointer, or text insertion so reading stays aligned. Screen magnifiers that lack strong follow behavior can increase manual repositioning during reading-heavy workflows.
How We Selected and Ranked These Tools
We evaluated ZoomText, MAGic, Windows Magnifier, macOS Zoom, Android Magnification, NVDA, SuperNova, ZoomIt, Screen Magnifier, and Magnifier Lens across three criteria: features, ease of use, and value. We rated each tool on a weighted approach where features carried the biggest influence at 40% while ease of use and value each accounted for 30%. The scoring uses only the provided tool mechanisms and governance details such as follow modes, configuration profile consistency, API or automation surface presence, and RBAC or audit log coverage.
ZoomText separated itself from lower-ranked tools through adaptive viewport tracking with cursor and pointer feedback and through high feature and ease-of-use scores, which lifted the features and ease-of-use factors for reading-aligned magnification workflows.
Frequently Asked Questions About Magnifier Software
Which magnifier tool best supports RBAC and audit logging for managed automation?
What options exist for API-style provisioning of magnification configuration?
Which magnifier stack follows the cursor or focused element during reading workflows?
How do Windows-native magnifiers differ from separate magnifier clients in integration depth?
Which tool fits organizations that need consistent magnification settings across many Windows endpoints?
What are the main integration constraints for magnification and capture on macOS?
Which option is best for coverage across Android apps using accessibility events?
How do NVDA magnification and governance differ from automation-first tools like SuperNova?
Which magnifier is most suitable for fast in-session zoom and annotation by operators?
What setup approach works best for browser-only magnification with minimal policy enforcement?
Conclusion
After evaluating 10 wellness fitness, ZoomText 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.
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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