
GITNUXSOFTWARE ADVICE
Art DesignTop 10 Best Mockup Generator Software of 2026
Top 10 Mockup Generator Software ranking for designers. Side-by-side comparisons of Placeit, Smartmockups, and Mockup World.
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.
Placeit
Template parameterization that maps uploaded assets into consistent device and apparel mockup layouts.
Built for fits when marketing teams need high-volume mockups with controlled templates and automation via API..
Smartmockups
Editor pickPrompt-plus-template generation that maintains consistent mockup layouts across variants.
Built for fits when small teams need repeatable mockups with automation and shared configuration..
Mockup World
Editor pickTemplate layer placeholders for artwork insertion and consistent placement within predefined scenes.
Built for fits when teams need repeatable mockups from templates without deep automation requirements..
Related reading
Comparison Table
This comparison table maps mockup generator tools across integration depth, data model, and automation and API surface so readers can see how each platform fits into existing workflows. It also covers admin and governance controls such as RBAC, audit log behavior, and provisioning or configuration options, plus extensibility paths for custom templates. The goal is to clarify tradeoffs in schema design, automation throughput, and deployment boundaries rather than to rank tools by feature count.
Placeit
template-basedBrowser-based mockup generator that creates branded product mockups and posters from templates with drag-and-drop editing.
Template parameterization that maps uploaded assets into consistent device and apparel mockup layouts.
Placeit’s mockup generator workflow uses prebuilt templates and controlled placement rules for uploads and text fields. This creates a predictable data model for each render job, because the inputs map to template variables like images, captions, and layout slots. Automation is strongest when teams treat the output as an asset pipeline and generate many variants using repeatable inputs. Governance is limited to user account operations around template usage, while deeper enterprise controls like fine-grained RBAC and audit log exports are not positioned as first-class features in typical template generators.
A key tradeoff appears when mockups must conform to a custom schema or internal approval workflow, because Placeit’s template parameters do not fully replace a bespoke data model for brand systems. Placeit fits a marketing team that needs fast, repeatable device and apparel mockups for campaigns where templates already match product packaging and typography constraints. It also fits e-commerce content operations that generate seasonal variants from a consistent set of product images and copy rules.
- +Template-driven mockups with repeatable image and text slot mapping
- +High throughput for generating many variants from standardized inputs
- +API and embedding patterns enable automation around render job creation
- –Limited schema control versus systems with custom data models
- –Fine-grained RBAC and audit log governance are not a central focus
Marketing operations teams
Generate device mockups and campaign variants from a fixed set of product photos and brand copy rules.
Faster campaign production with fewer layout inconsistencies across creatives.
E-commerce catalog managers
Create seasonal apparel and product visual mockups at scale for storefront merchandising pages.
More frequent storefront updates with consistent merchandising presentation.
Show 2 more scenarios
Small design teams at agencies
Support multiple client requests for mockup assets without building and maintaining a custom mockup pipeline.
Lower turnaround time for client mockup deliverables.
Template selection and controlled media placement remove the need to recreate device frames and scene settings for every request. Automation can be centered on API-driven asset generation and export into client-ready folders.
Brand system owners in product companies
Enforce brand typography and placement rules while producing marketing mockups for product launches.
Reduced variance in launch creatives while keeping approvals manageable.
Inputs can be standardized so render jobs consistently apply approved text and imagery to existing template layouts. Governance remains simpler than a full brand schema system because controls focus on template inputs rather than programmable data model constraints.
Best for: Fits when marketing teams need high-volume mockups with controlled templates and automation via API.
Smartmockups
device mockupsMockup generator focused on device and screen mockups with editable layers and rapid template placement.
Prompt-plus-template generation that maintains consistent mockup layouts across variants.
Smartmockups is a mockup generator geared toward repeatable output, which matters when brand teams need consistent results across campaigns and channels. The core data model is built around prompts, template selection, and output configuration so the same inputs can be regenerated at scale. That design supports automation scenarios where throughput is driven by templated prompts and controlled variations.
A tradeoff appears in deeper enterprise governance, since the documented admin controls are tied more to configuration than to full RBAC and fine-grained resource permissions. Smartmockups fits best when a small group owns prompt and template standards and other users consume outputs for review and publication.
- +Prompt-driven generation produces repeatable variations from controlled inputs
- +Template-based workflow supports consistent styling across campaigns
- +Batch-style parameter changes reduce manual mockup rework
- –RBAC and audit log granularity is not oriented to strict enterprise governance
- –Automation depends on the available API and configuration patterns
Brand marketing teams and creative producers
Generate versioned mockups for multiple ad creatives from one approved template style.
Faster creative iteration with fewer off-brand layout deviations.
Agencies and design studios
Produce client-specific mockups at higher throughput during campaign crunch periods.
Reduced per-deliverable production time while keeping layout consistency.
Show 2 more scenarios
Product marketing operations and content ops
Standardize mockup output for site banners and release announcements with repeatable parameters.
More predictable content production cadence with fewer manual approvals.
Ops teams treat prompt and template settings as a shared configuration used across monthly launches. They align exported images to a data model that supports repeat generation for new versions of the same campaign type.
Design systems teams
Create a library of generation presets that enforce consistent typography, layout, and imagery usage.
Lower drift across teams by constraining configuration inputs.
Design systems teams formalize a schema of prompt rules and template selection so variants follow the same visual constraints. They then distribute presets so downstream teams generate assets within defined boundaries.
Best for: Fits when small teams need repeatable mockups with automation and shared configuration.
Mockup World
template libraryMockup template library and generator workflow for branding and design previews using downloadable or editable mockup files.
Template layer placeholders for artwork insertion and consistent placement within predefined scenes.
The generator model is driven by prebuilt scenes and layer placeholders, so output consistency comes from a shared template schema rather than a custom scene graph. Artwork replacement and output formatting are the primary mechanisms, with configuration focused on fit and placement within the mockup frame. This structure supports high-throughput production of marketing images when the creative system can reuse the same scenes.
A key tradeoff appears in extensibility and automation. The interface emphasizes manual template selection and replacement, which limits throughput for teams that need schema-driven batch generation or programmatic scene provisioning. It fits situations like campaign content teams that standardize on a small set of mockup scenes and produce many variants from a repeatable asset set.
- +Large template library with common mockup formats for quick production
- +Template schema keeps artwork placement consistent across exports
- +Export workflow supports repeatable marketing image generation
- –Integration depth is limited in the surfaced workflow
- –Automation and API surface are not part of the generator experience
- –RBAC and audit log controls are not visible for governance needs
Brand and marketing design teams
High-volume campaign production that reuses the same packaging and device mockup styles
Faster asset turnaround with fewer layout revisions across marketing deliverables.
Ecommerce merchandising teams
Generating product and storefront visuals for seasonal drops with consistent framing
More consistent product presentation for faster catalog updates.
Show 2 more scenarios
Freelance designers and small studios
Delivering client-ready mockups without building a custom pipeline
Reduced setup time and quicker delivery of client mockup rounds.
Studios can generate final visuals using existing mockup scenes and replace client artwork in the generator flow. The focus stays on production steps instead of building scene provisioning and configuration tooling.
Creative ops and governance-driven teams
Attempting programmatic generation, approvals, and access control at scale
Higher manual coordination cost when approvals and access controls must be enforced.
These teams need integration with internal systems for provisioning, RBAC, and audit trails. The generator experience does not surface a schema-driven API or governance layer, so automation typically relies on exporting assets and using external tooling.
Best for: Fits when teams need repeatable mockups from templates without deep automation requirements.
Mockup Generator
web app generatorOnline mockup creation service that turns user images into branded visuals using predefined mockup layouts.
Template-based mockup composition with configurable export results
Mockup Generator focuses on templated mockup creation with an asset-to-preview workflow and configurable export outputs. Integration depth is mostly file-based around source images and generated previews, with no clear evidence of a first-party API for automation.
The primary data model is a per-mockup composition of layers and settings, which limits schema-driven governance and cross-team reuse. Admin and governance capabilities are therefore constrained to project-level organization rather than RBAC, audit logs, or provisioning surfaces.
- +Layered mockup composition driven by template settings
- +Repeatable exports with consistent output formats
- +Simple asset ingestion workflow for rapid iteration
- –Limited visible integration depth beyond file-based inputs
- –No documented automation or API surface for provisioning
- –No exposed RBAC or audit log controls for governance
Best for: Fits when visual teams need quick mockups with controlled output formats.
Ceros
interactive designInteractive design platform that supports creating marketing creatives and mockups through component-based layouts and asset editing.
Data binding between interactive templates and external content sources.
Ceros generates interactive web mockups by authoring in a visual canvas and exporting production-ready outputs. The system supports embedded media, layout components, and data binding so mockups can consume content from external sources.
Integration depth depends on how teams connect templates to a repeatable content model. Automation and extensibility center on APIs and configuration for provisioning, schema alignment, and governed publishing.
- +Authoring canvas outputs interactive mockups with responsive layout control
- +Data binding enables template-driven content updates without reauthoring
- +API supports programmatic creation, retrieval, and publish workflows
- +RBAC and roles support governance across editors and deployers
- +Audit logging records authoring and publishing actions for traceability
- –Template schemas can become brittle when design variables are many
- –Complex component logic may require disciplined structure to avoid drift
- –Automation coverage varies by workflow step, not every action is uniformly scripted
- –Debugging data mappings takes time when content sources change
Best for: Fits when teams need governed, API-driven mockup publishing tied to a repeatable data model.
Figma
design systemDesign and prototyping tool that generates realistic mockups via frames, variants, and reusable components with smart layout controls.
Plugins with the plugin API enable programmable mockup assembly and asset export from Figma objects.
Figma fits teams that need design-to-mockup workflows connected to real UI and component systems. Its data model centers on files, documents, frames, variables, and component libraries that can drive consistent mockups across projects.
Integration depth is strongest through plugins, REST APIs, and collaboration primitives like comments, versions, and link sharing for stakeholder review. Automation depends on a documented plugin API and REST endpoints that support programmatic asset extraction and file operations, with governance shaped by workspace roles, permissions, and audit visibility.
- +Documented plugin API for generating mockup variants from rules
- +Component libraries and variables keep mockups consistent across files
- +REST API supports programmatic file reads and asset export flows
- +RBAC-based workspace roles gate editing, commenting, and admin actions
- +Audit log and version history help trace changes to shared assets
- –Automation surface favors file and asset operations over full mockup generation
- –Large files and many components can reduce API throughput for bulk exports
- –Schema control is limited to existing object types rather than custom data models
- –Provisioning workflows require external orchestration for complex guardrails
Best for: Fits when teams need mockups generated from a shared component and variable data model.
Adobe Photoshop
manual high-fidelityRaster editor used for high-fidelity mockups through smart objects, layer styles, and perspective transforms.
Smart Objects with layer styles and scripting hooks for parameterized mockup rendering.
Photoshop is a full-fidelity design runtime that can be scripted through ExtendScript and modern UXP extensions for mockup generation workflows. It supports PSD layer structures, smart objects, and templated variable substitution, which forms a predictable data model for repeated outputs.
Automation can scale via batch processing, action recording, and plugin-driven generation, with extensibility through UXP and third-party scripting. Admin and governance mainly come from Creative Cloud enterprise controls rather than a dedicated mockup schema, so RBAC and audit coverage depend on account-level policies and extension permissions.
- +Layer-based PSD templates with smart objects for repeatable mockup composition
- +ExtendScript and UXP extensibility for automation and custom generation logic
- +Batch and actions enable high-throughput rendering from structured layer inputs
- +Export formats cover common mockup deliverables like PNG and layered assets
- –No dedicated mockup schema or data model for cross-tool orchestration
- –Governance relies on enterprise Creative Cloud controls instead of app-level RBAC
- –Automation surface is split across legacy scripting and UXP, increasing integration friction
- –Headless generation is limited compared with server-first mockup generators
Best for: Fits when teams need pixel-accurate mockups with scriptable PSD templates.
Canva
template-basedTemplate-based graphic design tool that builds mockups using drag-and-drop scenes, brand kits, and exportable assets.
Brand Kit with brand assets and templates for consistent mockup outputs.
Canva supports mockup generation through a componentized design canvas and an asset library that feeds real-time previews and exports. Integration depth is focused on embed and file management workflows via sharing links, team libraries, and API-adjacent product surfaces rather than a dedicated mockup schema.
Automation and extensibility center on repeatable templates, brand assets, and structured design elements, with limited evidence of a programmable data model for mockup parameters. Admin and governance controls mainly map to team roles, workspace policies, and audit-oriented account activity rather than configurable RBAC matrices tied to mockup operations.
- +Template-driven mockups with consistent layout and dimension handling
- +Brand kit assets apply across designs to reduce manual rework
- +Exports and presentation views support rapid stakeholder review
- –Mockup parameters are not expressed as a documented machine-readable schema
- –Automation and API surface for mockup generation appears limited
- –Governance controls emphasize team access over operation-level RBAC
Best for: Fits when teams need fast mockup iteration with templates and shared brand assets.
Photopea
browser editorBrowser-based Photoshop-like editor that supports mockup workflows using layers, blend modes, and smart-like transform steps.
Layer-based PSD editing that preserves composition structure for repeatable mockup exports.
Photopea generates mockups by composing and transforming layered PSD content in a browser-based editor. The workspace supports smart object-like workflows through layer transformations and exportable compositions, which helps reuse a consistent mockup data model.
Integration depth is limited because there is no documented API, no automation surface, and no extensibility hooks for provisioning or batch generation. Data governance controls like RBAC, audit logs, and admin configuration are not present in the workflow as exposed features.
- +Browser-based PSD editing for mockup layer composition
- +Layer operations support practical mockup transformations
- +Export delivers finished mockup images from the same project
- –No documented API for automation or batch mockup generation
- –No RBAC controls for team permissions or governance
- –No audit log or admin configuration for template changes
Best for: Fits when small teams need manual mockup generation from layered PSD files.
Sketch
vector designVector design tool that supports mockups through reusable symbols, artboards, and exportable design states.
Schema-based component and variant definitions drive consistent, repeatable mockup exports through the API.
Sketch fits teams that need a mockup generator with an integration-first approach for UI and brand asset workflows. It supports a structured asset pipeline through schemas for components, design variants, and export-ready outputs.
Automation and extensibility are handled via an API surface designed for provisioning, orchestration, and repeatable generation runs. Governance features cover workspace access controls, auditability, and configuration controls for administrators managing multiple creators.
- +API-oriented mockup generation supports automated content pipelines
- +Schema-driven asset model improves consistency across variants
- +Export outputs map cleanly to UI and brand production workflows
- +Workspace controls support RBAC-style access partitioning
- +Audit logs support traceability for generated artifacts
- –Complex schemas raise the setup and maintenance burden
- –High-throughput generation can require careful job orchestration
- –Automation patterns depend on API client implementation maturity
- –Extensibility needs governance planning for shared components
Best for: Fits when product teams need repeatable mockups with API automation and admin control over generation.
How to Choose the Right Mockup Generator Software
This buyer’s guide covers Placeit, Smartmockups, Mockup World, Mockup Generator, Ceros, Figma, Adobe Photoshop, Canva, Photopea, and Sketch for teams that generate mockups from templates, layered files, or component data models.
The guidance focuses on integration depth, the underlying data model used for repeatable generation, and the automation and API surface that supports batch jobs and governance via RBAC and audit logs where available.
Readers can use the criteria and decision steps to match tooling to production throughput and admin control needs instead of relying on manual template editing.
Mockup Generator tools that turn assets and layouts into repeatable deliverables
Mockup generator software produces consistent mockup outputs by combining uploaded assets with predefined layouts like device frames, apparel scenes, or layered templates. Placeit and Mockup World emphasize template-driven assembly with predictable placement of artworks in scene layers.
Automation and governance quality vary widely based on whether the tool exposes an API or a schema-driven data model for parameters, variants, and generation runs. Sketch and Ceros support schema-based definitions and API automation that map content inputs into governed publish workflows.
Evaluation criteria for integration, data modeling, automation, and admin governance
Integration depth determines whether teams can wire mockup generation into existing pipelines for asset intake, variant creation, and publishing. Placeit and Smartmockups succeed when repeatable generation comes from template parameterization and an automation-friendly rendering pattern.
Admin and governance controls decide whether mockup operations can be partitioned across roles and traced with audit logs. Ceros provides RBAC and audit logging for authoring and publishing actions, while Figma relies on workspace roles, permissions, and audit visibility rather than a dedicated mockup schema.
Template parameterization with consistent slot mapping
Template parameterization maps uploaded assets into repeatable layout slots, which reduces drift across variants. Placeit excels with device and apparel layouts where uploaded media lands in consistent device and apparel mockup positions.
Prompt and parameter-driven batch variation
Batch variation should support repeatable changes through prompt-plus-template workflows or controlled parameter sets. Smartmockups uses prompt-driven generation with template management and batch-style parameter changes to keep layouts consistent across campaign variations.
Schema-based data model for variants and generation runs
A structured data model lets teams define components, design variants, and generation inputs in machine-readable form. Sketch uses schema-based component and variant definitions tied to API-driven mockup exports, and Ceros uses data binding to keep templates connected to external content sources.
Documented automation surface and API for provisioning
Automation depends on an API that supports programmatic creation, retrieval, and publish workflows instead of manual export scripts. Ceros includes an API that supports programmatic mockup creation and publishing, and Sketch provides an API oriented to provisioning, orchestration, and repeatable generation runs.
RBAC and audit log coverage for mockup operations
Governance improves when RBAC gates authoring and publishing and audit logs record the actions tied to generated artifacts. Ceros includes role-based governance with audit logging that records authoring and publishing actions, while Figma offers RBAC-style workspace roles plus audit visibility through version history and comment workflows.
Layered asset template compatibility for pixel-accurate workflows
Layered templates matter when mockups must preserve a deterministic PSD structure and allow smart object replacement. Adobe Photoshop supports Smart Objects, layer styles, and scripting hooks via ExtendScript and UXP for parameterized mockup rendering, while Photopea preserves PSD composition structure for repeatable layered exports without an API surface.
Match mockup generation method to pipeline integration and control requirements
Start by classifying how variants are produced in the target workflow. Template slot mapping fits high-volume marketing output in Placeit, while prompt-plus-template batch variation fits predictable multi-variant device and screen work in Smartmockups.
Next validate the automation and governance requirements using the tool’s exposed automation surface and admin controls. Tools like Ceros and Sketch provide API-driven provisioning and audit logging targets, while tools like Mockup Generator and Photopea stay centered on manual file-based creation with limited integration depth.
Define the input-to-variant mechanism and how layout consistency is enforced
If variants are produced by swapping images into predetermined scene slots, prioritize template parameterization like Placeit’s consistent device and apparel layout mapping. If variants are produced by batch edits from controlled prompts and parameters, prioritize Smartmockups because it keeps layouts consistent across prompt-plus-template generation.
Select the right data model for repeatability and cross-team reuse
Choose schema-driven variant definitions when mockups must be generated from a formal component and variant structure. Sketch supports schema-based component and variant definitions through API generation, and Ceros supports data binding so interactive templates consume repeatable external content.
Confirm the automation surface matches required orchestration depth
For programmatic job creation, retrieval, and publish flows, prioritize tools with a documented API built for orchestration like Ceros and Sketch. For export automation that relies on asset extraction and external scripting, consider Placeit’s automation-friendly render job patterns or accept limitations in Mockup World where API and provisioning are not part of the generator experience.
Map governance requirements to the tool’s RBAC and audit capabilities
If admin teams must control who can author and publish and also trace those actions, prioritize Ceros because it includes RBAC and audit logging for authoring and publishing actions. If governance is primarily workspace-based, validate whether Figma’s workspace roles and audit visibility meet the operational audit needs for generated mockups.
Validate throughput expectations against the generation model
For high-volume variant creation from standardized inputs, Placeit is built for high throughput by mapping uploaded assets into consistent layouts and generating many variants from controlled template parameters. For layered PSD-based workflows, Adobe Photoshop supports batch and action-style automation from structured layer inputs, while Photopea supports repeatable exports without an automation surface.
Which teams benefit from specific mockup generator architectures
Teams with predictable marketing deliverables often need template slot mapping that produces many consistent outputs from the same asset set. Teams with stricter operational control need RBAC and audit logging tied to generation and publishing actions.
The best fit depends on whether the mockup workflow is template-driven, prompt-and-template-driven, or schema-driven with API automation that supports repeatable generation runs.
Marketing teams producing high-volume branded mockups and posters
Placeit fits high-volume marketing output because it uses template parameterization that maps uploaded assets into consistent device and apparel mockup layouts and supports automation around render job creation.
Small teams standardizing variants through repeatable prompt and templates
Smartmockups fits small teams because it uses prompt-plus-template generation and batch-style parameter changes to keep styling consistent across variants.
Teams that need governed, API-driven mockup publishing tied to external content sources
Ceros fits governed publishing because it provides data binding for interactive templates, an API for programmatic creation and publish workflows, RBAC, and audit logging for authoring and publishing actions.
Product teams generating mockups from shared component and variant schemas
Sketch fits product workflows because it uses schema-based component and variant definitions and an API that supports provisioning, orchestration, and repeatable generation runs with admin control over creators.
Design teams that must preserve pixel-accurate PSD structure and script layer-based rendering
Adobe Photoshop fits pixel-accurate workflows because Smart Objects, layer styles, and ExtendScript or UXP automation support parameterized mockup rendering from structured layer inputs.
Common selection pitfalls that block integration and governance goals
Many teams choose tools that look fast in a template editor but do not match automation or admin control needs. Others overestimate governance controls when RBAC and audit log features are not oriented to mockup operations.
These pitfalls show up as brittle variation workflows, weak cross-team reuse, and automation that requires manual export rather than API-driven provisioning.
Assuming template workflows include schema-level governance
Mockup Generator and Mockup World keep their core experience centered on template composition and export, and they do not expose RBAC and audit log controls for governance as first-class generator features.
Choosing a tool without a documented API for the automation depth required
Placeit supports automation-friendly patterns, but Mockup World, Photopea, and Mockup Generator lack a generator-first API surface for provisioning and batch orchestration, which forces external scripting around exports.
Overloading an interactive template with too many variables without planning data mapping
Ceros can support data binding and API-driven workflows, but complex component logic and many design variables can create drift and make debugging data mappings time-consuming when content sources change.
Treating document tools as end-to-end mockup generators
Figma can automate file and asset operations through plugins and REST APIs, but its automation surface favors file and asset extraction rather than full mockup generation tied to a dedicated schema for mockup parameters.
How We Selected and Ranked These Tools
We evaluated Placeit, Smartmockups, Mockup World, Mockup Generator, Ceros, Figma, Adobe Photoshop, Canva, Photopea, and Sketch on features, ease of use, and value using the provided capability descriptions and scoring breakdowns for each tool. Features carried the most weight at 40 percent, while ease of use and value each accounted for 30 percent of the overall rating. This editorial ranking covers integration depth, automation and API surface, and governance controls only to the extent those factors appear in the provided tool capability descriptions.
Placeit stands apart in this set because template parameterization maps uploaded assets into consistent device and apparel mockup layouts and because its automation story includes API and embedding patterns that support render job creation at high throughput, which lifts both the features score and the ease-of-use fit for repeatable variant production.
Frequently Asked Questions About Mockup Generator Software
Which mockup generator tools provide an automation API or programmable workflow for batch output?
What tool choices support a repeatable data model or schema for consistent mockup generation?
How do SSO and access controls differ across mockup generators that target teams with governance needs?
Which tools make it easiest to migrate existing assets and mockup compositions into the new workflow?
What are the practical tradeoffs between prompt-driven mockup generation and template-driven mockup composition?
Which tools support admin controls like RBAC and audit logs for multi-creator teams?
How does extensibility work when a team needs custom parameterization beyond template text and placements?
Which tools are better suited for interactive or web-ready mockup outputs rather than static images?
What common technical blockers appear during integration, and which tools reduce them with clearer integration surfaces?
Conclusion
After evaluating 10 art design, Placeit 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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