
GITNUXSOFTWARE ADVICE
Art DesignTop 10 Best Video Intro Maker Software of 2026
Top 10 Video Intro Maker Software ranked by features and pricing, with comparisons of Canva, Adobe Express, and VEED for quick shortlists.
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
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Canva
Template-driven video intros with editable animated elements and layer-based timing inside Canva’s editor.
Built for fits when marketing and small production teams need consistent, template-based video intros with collaborative review and controlled brand assets..
Adobe Express
Editor pickTemplate-driven video intro creation with branded assets from shared libraries and Creative Cloud
Built for fits when marketing teams need repeatable video intros with brand controls and low-friction collaboration..
VEED
Editor pickTemplate-based intro generation that maps text and uploaded assets into a timed multi-layer timeline render.
Built for fits when marketing teams need repeatable video intro renders with minimal setup overhead..
Related reading
Comparison Table
This comparison table maps video intro maker tools across integration depth, including connectors and how each platform models assets, templates, and brand settings in its data model and schema. It also evaluates automation and API surface, covering extensibility options, provisioning workflows, throughput limits, and whether sandbox environments support safe testing. Admin and governance controls are compared through RBAC granularity and audit log coverage for teams that need repeatable publishing with controlled access.
Canva
template editorTemplate-driven intro video creation with brand assets, teams, and automated design workflows, plus export and collaboration controls for recurring intro production.
Template-driven video intros with editable animated elements and layer-based timing inside Canva’s editor.
Canva creates video intros by combining reusable templates with editable layers, animated transitions, and downloadable video outputs. The underlying data model centers on designs, pages or frames, layers, and media assets, which supports consistent replication across intro variants. Integration depth is strongest through sharing, embeds, and connected services that keep brand assets reusable across projects. Automation and API surface are not the same as full motion-engine APIs, but Canva still enables workflow control through available integration points.
A key tradeoff is that video intro generation is constrained by what templates and editor actions expose, which limits custom motion logic compared with code-based pipelines. Canva fits teams that need repeatable intro graphics and social-first motion outputs without building rendering services. It is less suited for scenarios requiring strict, code-defined timing, custom interpolation rules, or high-throughput batch rendering under a dedicated API contract. Governance depends on workspace roles and shared assets, which supports RBAC-like access patterns and versioned collaboration.
Extensibility is practical when brands rely on consistent templates and imported assets, since the schema supports asset reuse across many intro designs. For admin and governance, access control is enforced at workspace and folder levels, with activity history supporting traceability for edits and publishing. Audit and governance depth is better for workflow review than for deep, machine-enforced compliance controls across automated rendering.
- +Template-to-animation editing speeds intro iteration without custom motion coding
- +Layer-based timeline edits keep branding consistent across variants
- +Workspace collaboration supports review workflows for intro designs
- +Brand asset reuse reduces rework across teams and projects
- +Export options cover common video intro output needs
- –Programmable motion rules are limited versus code-driven rendering systems
- –Batch intro generation needs more manual steps than API-first pipelines
- –Automation depth depends on available integration points, not full editor control
Marketing teams
Produce consistent campaign intro variants
Faster localized intro production
Design ops
Govern brand assets across teams
Lower brand guideline drift
Show 2 more scenarios
Content producers
Update intros for recurring series
Repeatable episode intro output
Producers maintain a single schema of layers and transitions, then regenerate intros for each episode asset set.
Video editors
Integrate intros into edit workflows
Fewer handoff cycles
Editors export intro videos in common formats and embed or share designs to coordinate revisions with creators.
Best for: Fits when marketing and small production teams need consistent, template-based video intros with collaborative review and controlled brand assets.
More related reading
Adobe Express
motion templatesIntro video creation using motion templates with asset management, sharing permissions, and organization controls for producing consistent branded intros at scale.
Template-driven video intro creation with branded assets from shared libraries and Creative Cloud
Adobe Express fits marketing and communications teams that produce recurring video intros for ads, social posts, and internal updates. It centers on a template and asset library workflow, which reduces manual layout work while keeping brand consistency across edits. The integration depth comes from Creative Cloud asset reuse and shared libraries, which helps standardize source-of-truth media across creators and reviewers.
A key tradeoff is that automation controls are not as administrator-granular as enterprise media pipelines that rely on custom metadata schemas and deterministic rendering APIs. Adobe Express works best when teams want high throughput for standard intro formats with clear approvals, not when teams need complex, code-defined data models for every frame. It is a strong choice for campaigns where brand governance and template reuse matter more than bespoke rendering automation.
- +Template-based video intros with timeline editing
- +Creative Cloud asset reuse supports consistent branding
- +Collaboration flows align edits with review cycles
- +Governed asset libraries improve repeatability
- –Limited schema-level control over frame metadata
- –Automation depth is weaker than code-first rendering pipelines
- –Complex multi-version governance needs extra process
Marketing ops teams
Campaign intros from approved templates
Faster production with consistent branding
Creative teams with reviewers
Review-ready intro drafts
Reduced rework in approvals
Show 2 more scenarios
Sales enablement teams
Product intro clips for decks
Fewer custom edits per project
Enablement builds standardized intro variants using centralized assets for recurring outreach materials.
Content teams at scale
High throughput social intros
Higher throughput with lower drift
Teams produce many intro formats by reusing template structures and managed libraries to keep output uniform.
Best for: Fits when marketing teams need repeatable video intros with brand controls and low-friction collaboration.
VEED
web editorBrowser-based intro video editor with scene templates, brand kits, and collaborative editing, designed for repeatable intro generation in shared workspaces.
Template-based intro generation that maps text and uploaded assets into a timed multi-layer timeline render.
VEED supports intro creation through guided editing flows that combine templates, media uploads, and scene-level styling into a short final render. The data model is centered on a project timeline that references clips, overlays, text layers, and media assets, which makes reusing an intro layout practical. For integration, VEED’s automation surface is most tangible via external workflows that pass inputs and consume rendered outputs, rather than a deeply managed schema-first video graph.
A key tradeoff appears in governance and extensibility. Fine-grained admin controls, RBAC, and auditable change history are not the primary strength compared with tools that expose full project graphs through API-first operations. VEED fits teams that need consistent intro renders for frequent publishing cycles, like social channels and lightweight marketing ops, when repeatability matters more than programmatic scene graph mutation.
- +Template-driven intro assembly from text and media layers
- +Timeline editor supports scene and overlay styling for consistent results
- +Exports multiple video formats for publishing and reuse
- –API automation is less centered on scene graph provisioning
- –RBAC and audit log controls are not the primary governance mechanism
Social media managers
Weekly intro renders for campaigns
Faster publishing with consistent branding
Marketing ops teams
Automated asset intake for intro video
Reduced manual editing workload
Show 2 more scenarios
Content production editors
Scene overlay and text styling
More consistent intro visuals
Adjust text layers and overlays on a timeline to match each episode or release.
Community teams
Event-specific intro customization
Consistent event branding
Swap event media and update title text while keeping timing and layout fixed.
Best for: Fits when marketing teams need repeatable video intro renders with minimal setup overhead.
Renderforest
template automationAutomated video intro generation using template workflows with downloadable outputs and brand customization inputs for repeatable intro variants.
Template-based video intro generator with reusable branding inputs for fast, consistent variations.
In the video intro maker space, Renderforest pairs template-driven intro creation with production-grade export outputs for quick reuse. Renderforest supports scene and branding workflows through configurable intro templates, with asset reuse for logos, colors, and text.
Integration depth is mostly template automation rather than a programmable data model, so control is strongest through UI configuration and batch-oriented media export. Automation and API surface are limited compared with tools that expose a formal schema, provisioning workflow, and consistent audit log events for intro generation pipelines.
- +Template library with configurable scenes for rapid intro assembly
- +Brand assets can be reused across multiple intro variations
- +Export outputs support common downstream video editing workflows
- +Editor provides practical controls for timing, text, and visual styling
- –Limited evidence of schema-based automation for intro generation
- –API and automation surface do not appear to support full provisioning
- –Role separation and governance controls are not clearly surfaced for enterprises
- –Audit log and extensibility paths are not explicit for integration teams
Best for: Fits when small teams need consistent, branded video intros without engineering integration work.
Animoto
guided intro builderMarketing video intro workflows that assemble branded intro scenes from media inputs, with templates and account controls for multi-user production.
Template-based intro builder that generates intro videos from structured text and media inputs.
Animoto builds video intro assets from templates, text, and media inputs with automated rendering. It emphasizes quick production workflows for marketing and channel branding rather than developer-first integrations.
The solution’s fit depends on how much template variation and brand consistency can be configured through its media, styling, and reuse controls. Integration depth and automation surface are less explicit than tools that publish a comprehensive video asset data model and programmatic API.
- +Template-driven intro creation reduces manual editing time
- +Reusable branding inputs help keep intro visuals consistent
- +Media and text inputs map cleanly to intro-specific scenes
- +Export-ready outputs support common publishing workflows
- –Limited documented API and automation surface for provisioning
- –Admin governance controls like RBAC and audit logs are not clearly specified
- –Data model schema for scenes, assets, and versions is not programmatically exposed
- –Extensibility for custom rendering steps is constrained
Best for: Fits when teams need fast template-based video intros with limited IT involvement and minimal automation requirements.
CapCut
editing suiteIntro-focused video editing with built-in templates, text and motion effects, and collaboration features for producing intro sequences consistently.
Template-based intro composition with editable animated text and motion parameters.
CapCut targets video intro production with an editor-first workflow that turns templates into finished intro clips. Integration depth is mostly centered on in-app asset handling, with export and media management rather than a formal intro-specific data schema.
Automation and API surface are not positioned around provisioning, extensibility, or programmatic generation of intro configurations. Governance controls for roles, approvals, and audit trails are not clearly framed for admin-led deployments.
- +Template-to-intro workflow for quick variants and consistent branding
- +Rich text styling for animated title sequences and motion presets
- +Layered editing supports music, voiceover, and cut timing alignment
- +Export controls include common aspect ratios for intro placement
- –Limited documented API for programmatic intro creation and batch generation
- –No clear RBAC model or admin audit log for team governance
- –Automation is mainly manual or template based, not schema driven
- –Intro configurations are not exposed as a reusable, queryable data model
Best for: Fits when teams need fast intro variations inside a video editor workflow, with minimal automation and governance demands.
Wondershare Filmora
desktop editorIntro generation and editing with template effects, motion text presets, and versioned project workflows for local production and iteration.
Template-driven Intro Maker editor that combines titles, transitions, and timeline timing in one project flow.
Wondershare Filmora targets intro-focused video creation with a template-driven editor and built-in effects and titles. Integration depth is mostly local workflow driven, with limited documented API and automation surface compared with media-ops platforms.
The data model centers on editable project assets, timelines, and render outputs rather than a schema-first approach for provisioning and RBAC. Governance controls like RBAC, audit logs, and sandboxed automation are not a primary part of the Filmora workflow.
- +Template-based intro building with editable text, timing, and transitions
- +Effects and title assets reduce manual composition time
- +Timeline editing supports multi-track sequences and preview rendering
- +Project-based workflow keeps intro assets versionable within files
- –Limited documented API and automation surface for intro generation at scale
- –Workflow is file-centric, not schema-first for external systems
- –RBAC and admin governance features are not a core focus
- –Automation throughput depends on local editing and rendering capacity
Best for: Fits when small teams need consistent intro videos and prefer template edits over integration-heavy automation.
Wondershare Virbo
template studioTemplate-based video intro and promo generation with media input forms and exports for standardized intro outputs across projects.
Template-driven scene composition with parameterized text and media inputs for consistent intro renders.
Wondershare Virbo targets video intro creation with scene-driven templates and a preview-first editor for motion graphics. It supports structured text and media inputs to generate consistent intro outputs across episodes and campaigns.
Integration depth matters most for teams that need automation through repeatable configurations rather than manual timeline edits. Governance controls are focused on user workflows, with limited visibility into an external data model or admin API surface described in public documentation.
- +Template-based intro generation keeps motion, timing, and layout consistent across videos
- +Text and media inputs map to reusable components for repeatable intro outputs
- +Preview workflow reduces iteration cycles when fine-tuning branding elements
- –Automation and API surface are not documented for external provisioning workflows
- –Data model and schema details for intro projects are not exposed for integration
- –RBAC, audit logs, and admin governance controls are not clearly specified publicly
Best for: Fits when teams need repeatable video intros with minimal manual timeline work.
Descript
script-driven editingIntro creation workflows driven by audio and script edits, with timeline editing and media asset control for repeatable intro production.
Descript auto-generates intro timing from voice and transcription edits inside a timeline-centric editing model.
Descript creates video intros by turning structured scripts into storyboarded voiceover and visual timing, then exporting ready-to-use intro clips. It uses an internal editing and media data model built around voice, transcription, and timeline objects that can be iterated quickly.
Integration depth comes from workflow sharing, template reuse, and import-export of media assets, with extensibility centered on repeatable projects rather than a documented intro-specific schema. Automation and API surface are limited for provisioning and governance, so control depth relies more on team workspace permissions than programmable endpoints.
- +Script-first timeline ties voiceover timing to intro visuals
- +Transcription-driven edits reduce manual retiming work
- +Template and project reuse supports consistent intro versions
- +Media import and export fits existing asset pipelines
- –No documented provisioning or intro-schema for external automation
- –Automation surface lacks a clear API for governance workflows
- –RBAC and audit controls are not granular for timeline actions
- –Batch generation throughput controls for many intros are unclear
Best for: Fits when small teams need script-to-intro iteration with strong timeline editing, and limited external automation.
Lumen5
AI template generatorTemplate workflow for turning inputs into short intro-style videos with scene generation and asset reuse controls for consistent outputs.
Script-to-scene generation using templates to produce consistent intro sequences for quick iteration.
Lumen5 fits teams that need short video intro assets generated from text briefs with minimal production steps. It converts a script into storyboard-style scenes, then applies templates to render a ready-to-share intro.
Core capabilities center on text-to-video generation, template-driven styling, and media selection within an editing workspace. Integration depth is limited by a narrow automation and API surface, so governance relies mostly on workspace settings rather than programmable controls.
- +Text-to-video flow turns scripts into storyboard scenes quickly
- +Template-driven rendering keeps intros consistent across projects
- +Editing workspace supports scene-level adjustments before export
- –API and automation surface is limited for workflow provisioning
- –Data model schemas are not exposed for external orchestration
- –RBAC and audit-log controls are not documented for admin governance
Best for: Fits when small teams generate repeatable video intros from text with light review, not heavy governance automation.
How to Choose the Right Video Intro Maker Software
This buyer’s guide maps how video intro makers actually behave across Canva, Adobe Express, VEED, Renderforest, Animoto, CapCut, Wondershare Filmora, Wondershare Virbo, Descript, and Lumen5.
It focuses on integration depth, the underlying data model shape, automation and API surface, and admin governance controls like RBAC and audit logs. It also explains where template-driven generation ends and where schema-like provisioning and governed automation begin.
Video intro maker software that turns brand rules and inputs into repeatable intro renders
Video intro maker software generates short intro clips by combining templates or scene configurations with inputs like logos, text, and media. It reduces the manual work of rebuilding the same intro layout and timing across many videos, especially for marketing and channel branding.
Tools like Canva and Adobe Express emphasize template-driven scenes tied to brand assets and collaboration workflows. Tools like VEED and Renderforest emphasize template-driven intro generation that exports consistent assets for downstream publishing workflows.
Evaluation criteria for intro generation integration, data control, and admin governance
The main decision is whether the tool keeps intro configurations inside a UI workflow or exposes a data model that other systems can provision. Canva and VEED provide strong editor and template workflows for repeatable renders, while Renderforest and Animoto keep automation mostly template and batch oriented.
The second decision is governance depth. Admin controls like RBAC and audit logs matter most when multiple teams generate and revise intro assets, which is where tools with explicit governance and consistent automation events are easier to standardize.
Template-driven scene and timeline rendering
Template-driven generation maps structured inputs into timed scenes and layered overlays. Canva excels at editable animated elements with layer-based timing, while VEED turns text and uploaded assets into a timed multi-layer timeline render.
Brand asset reuse from governed libraries
Brand asset reuse reduces rework when teams must keep logos, colors, and typography consistent. Adobe Express supports Creative Cloud asset reuse and organized brand controls, and Canva supports reusable brand assets across teams and projects.
API and automation surface for provisioning intro configurations
Automation depth matters when intro variants must be generated in bulk or orchestrated from other systems. Canva’s automation depends on available integration points, while tools like Renderforest and Animoto show automation that is more template and batch oriented than schema-first provisioning.
Extensibility via structured configuration rather than file-only editing
Extensibility is easier when the tool’s workflow is driven by repeatable configuration objects rather than only editable projects. VEED’s template-based intro generation maps inputs into a timed render configuration, while Filmora and Descript focus more on project and timeline iteration than an externally provisioned intro schema.
Admin governance controls for teams generating intros
Governance controls decide whether teams can safely iterate without breaking brand rules or losing change history. Canva includes collaboration and asset organization controls for review workflows, while VEED and Renderforest do not position RBAC and audit log controls as their primary governance mechanism.
Throughput controls for generating many intro variants
Throughput matters when dozens or hundreds of intro assets must be produced for campaigns. Canva’s batch intro generation requires more manual steps than API-first pipelines, while Descript and Lumen5 center on iterative generation rather than externally orchestrated batch throughput.
Select by integration depth, config control, and governance needs
Start with the automation target and the place where intro configuration must live. If intro generation stays inside designers’ workflows, Canva and CapCut can deliver consistent template-to-animation edits without engineering overhead.
If intro generation must be orchestrated from other systems, prioritize tools that present a clearer API and automation surface or repeatable configuration objects that can be provisioned. Where schema-level control and programmable endpoints are not central, configuration typically stays manual or template UI driven, as seen with Renderforest, Animoto, and Lumen5.
Decide where intro configuration should be controlled
If the organization wants brand rules enforced through an editor workspace, Canva and Adobe Express fit because they tie template generation to brand assets and collaboration workflows. If configuration must be mapped from inputs into a timed render without heavy manual timeline work, VEED and Wondershare Virbo fit through their parameterized template-driven scene composition.
Check the automation path for batch generation and orchestration
If intro generation must run as part of a pipeline, tools with stronger automation and API surface are required, and Canva’s automation depth depends on supported integration points. If intros are generated as batch exports from templates, Renderforest and Animoto tend to rely on template automation and batch-oriented export flows rather than schema-first provisioning.
Validate whether the tool exposes enough of a data model for integration
Integration is easier when intro scenes and versions can be treated as queryable objects rather than only file edits. Adobe Express limits schema-level control over frame metadata, while Filmora and Descript keep control inside editable projects and timeline objects rather than an externally provisioned intro schema.
Map governance needs to real admin mechanisms
For multi-team intro production, RBAC and audit log requirements should be evaluated against the tool’s surfaced governance controls. Canva provides collaboration and review workflow support, but VEED and Renderforest position RBAC and audit log controls as not the primary governance mechanism.
Stress-test the variant workflow with your real asset set
Run a variant workflow using your logo, typography, and motion requirements to confirm that template animated elements and layer timing can hold branding across updates. Canva’s layer-based timeline edits keep branding consistent across variants, while CapCut focuses on template-based intro composition with editable animated text and motion parameters.
Choose the generation approach that matches the input style
If intros start from motion layouts and brand assets, Canva and Adobe Express are suited to template-to-animation and Creative Cloud asset reuse. If intros start from scripts or voice, Descript auto-generates intro timing from voice and transcription edits, and Lumen5 uses a script-to-scene generation flow with templates.
Who benefits from intro makers built for templates, timelines, and governance
Different intro makers target different production models. Some tools optimize repeatability for marketing teams that work in shared workspaces. Others optimize intro iteration for small teams that refine templates directly in an editor.
Marketing teams that must keep one intro look across many videos
Adobe Express fits because it combines template-driven video intros with branded assets from shared libraries and Creative Cloud asset reuse. Canva also fits because it supports brand asset reuse and layer-based timing to keep branding consistent across variants.
Teams that want text and media inputs mapped into timed intro renders
VEED fits because it generates template-based intros that map text and uploaded assets into a timed multi-layer timeline render. Wondershare Virbo fits because it uses scene-driven templates with parameterized text and media inputs for consistent intro renders.
Small production teams focused on fast iteration inside an editor workflow
CapCut fits because it delivers template-based intro composition with editable animated text and motion parameters in a video editing workflow. Wondershare Filmora fits because it combines titles, transitions, and timeline timing in a template-driven project flow for local iteration.
Teams that need script or voice to drive intro timing
Descript fits because it ties voice and transcription edits to intro visuals inside a timeline-centric editing model. Lumen5 fits because it converts a script into storyboard-style scenes using template-driven rendering and scene-level adjustments before export.
Teams that need template-driven batch exports with minimal engineering involvement
Renderforest fits when teams want configurable templates and reusable branding inputs for rapid intro variants without engineering integration work. Animoto fits when teams need template-based intro generation from structured text and media inputs with minimal IT involvement.
Common selection pitfalls that break intro consistency or automation
Several recurring issues show up when teams choose intro makers without matching the tool to their integration and governance requirements. Template workflows can be great for repeatability, but they often hide limits in schema-level control and programmable automation.
Expecting API-first provisioning from UI-driven template generators
Renderforest, Animoto, and Lumen5 emphasize template automation and batch-oriented exports instead of a schema-first intro data model. Canva and VEED also rely heavily on editor workflows, so automation requirements should be mapped against what each tool actually exposes.
Assuming governance comes with RBAC and audit logs
VEED and Renderforest do not position RBAC and audit log controls as their primary governance mechanism, and Filmora and CapCut do not clearly frame admin audit trails in their workflow. Canva includes collaboration and asset organization controls for review workflows, so governance expectations should be validated against surfaced admin controls.
Overlooking limits in metadata control for multi-version variants
Adobe Express limits schema-level control over frame metadata, which can matter for teams that need precise frame-level variation tracking across many intro versions. Canva supports layer-based timing edits for visual consistency, so tracking requirements should be tested against the tool’s variation model.
Choosing a file-centric workflow when integration depends on reusable config objects
Filmora and Descript center on editable project assets and timeline objects rather than externally provisioned intro configuration. If other systems must orchestrate intro generation, prioritize tools that map structured inputs into repeatable render configurations like VEED and Wondershare Virbo.
Missing throughput needs because batch generation is manual
Canva’s batch intro generation needs more manual steps than API-first pipelines, which can slow large campaign rollouts. Tools focused on iterative editing and export like Descript and Lumen5 can also require workflow batching decisions that are not governed by explicit throughput controls.
How We Selected and Ranked These Tools
We evaluated Canva, Adobe Express, VEED, Renderforest, Animoto, CapCut, Wondershare Filmora, Wondershare Virbo, Descript, and Lumen5 using criteria that track real production outcomes. Each tool was scored on features, ease of use, and value, and the overall rating used a weighting where features carried the largest share at 40% while ease of use and value each accounted for 30%. This scoring is editorial criteria-based, and it reflects the explicit capabilities and limitations described for each tool’s workflow, automation surface, and governance positioning.
Canva separated itself from the lower-ranked tools because it combines template-driven video intros with editable animated elements and layer-based timing inside its editor. That capability supports faster variant iteration and repeatable branding across collaboration workflows, which lifted both the features score and the ease of use score.
Frequently Asked Questions About Video Intro Maker Software
Which video intro makers support template-driven creation with editable motion layers?
Which tool fits organizations that need programmable automation via an API or formal data model?
How do these tools handle integrations for assets, publishing, and automation hooks?
What options exist for admin controls and role-based access management?
Which tools offer the strongest audit trail visibility for intro generation pipelines?
How should teams migrate existing brand assets and intro project content into a new tool?
Which tools are better for script-to-intro generation with automatic timing?
Which tool reduces manual timeline editing when producing the same intro across episodes or campaigns?
What common workflow problem shows up when exports need to feed external publishing automation?
Conclusion
After evaluating 10 art design, Canva 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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