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AI-powered Digital Asset Management
AI-powered digital asset management for images, video and audio.
Cyberbude AI Asset Hub brings images, videos, audio and other media files into one searchable platform. Automated AI analysis, flexible rights and approval controls, workflows, brand portals and cloud connections turn a file repository into a productive Digital Asset Management system.
Self-hosted optionLocal AI or cloud AIDE · EN · FR · ES · ITImages · Video · Audio
Asset overview
● AI ready🔎 Natural search: “product image with blue background”
Event_Keyvisual.mp4
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Interview_Audio.m4a
In short
What is Cyberbude AI Asset Hub?
Cyberbude AI Asset Hub is self-hosted digital asset management software (DAM) that helps organizations centrally store images, video, audio and other media, enrich them automatically with AI metadata, find them faster, review them, version them and distribute them in a controlled way.
The platform combines core DAM capabilities with local AI or cloud AI, transcription, rights management, approval workflows, Brand Portals, cloud storage and a REST API. It is designed as a central media platform for marketing, communications, brand management, agencies and content teams.
Asset typesImages, video, audio and additional files
AI modesBasic mode, local AI, OpenAI, Gemini, Claude
DeploymentSelf-hosted on your own server or VPS infrastructure
LanguagesGerman, English, French, Spanish, Italian
CollaborationApprovals, tasks, comments, annotations and versions
DistributionBrand Portals, share links, API and cloud connectors
One platform instead of disconnected tools
Core capabilities for modern asset management.
From upload and AI enrichment to search, approval, rights management, distribution and archiving, AI Asset Hub supports the complete digital asset lifecycle.
Multi-asset upload
Upload multiple images, videos, audio files and other files in one operation. Assets are stored first and AI analysis is processed in a controlled queue.
Folders & subfolders
Structure assets hierarchically and select entire folder trees for agents, web scans and other processes.
Favorites / collections
Group assets independently from the folder structure in private or shared collections and reuse them as working or sharing sets.
Technical metadata
Filename, MIME type, format, file size, dimensions, duration, upload date, processing state and other technical information are available centrally.
Title, description, alt text & tags
Editorial metadata can be generated by AI and then reviewed or edited manually.
Transcription
Audio files and audio tracks from videos can be transcribed, locally with Whisper or through the configured cloud AI path.
Advanced AI search
Search across descriptions, tags, OCR/text hints, object and scene information, color data and other AI-generated metadata.
Find similar visuals
Use an existing asset as a reference to discover visually similar content and narrow results with optional filters.
Precise search filters
Filter by media type, AI/cloud source, color family, person/face metadata, date range and additional properties.
Text-in-image search
Include OCR text in search so assets can also be found through visible text contained in images.
Duplicate detection
Identify similar or identical files, compare them and reduce redundant content more efficiently.
Optimized pagination & views
Large libraries remain manageable with compact pagination, grid/list views and structured result presentation.
Flexible AI architecture
Choose the AI approach that fits your infrastructure and budget.
Run without an external AI provider, use a local model, or connect a cloud AI service. The active AI mode and current status remain transparent in the administration area.
Basic mode without an AI modelCreates tags from filename, file type, image dimensions, format and dominant colors without external AI calls.
Local AILocal image analysis on your own server without a cloud AI provider for image tagging.
OpenAI · Gemini · ClaudeCloud AI for high-quality image analysis, descriptions and metadata. Unsuitable specialist models are filtered out.
Model & cost visibilityEstimated model cost overview plus logged API costs by model and freely selectable date range.
Dynamic provider models
When an API key is configured, provider model lists can be loaded automatically. Non-verified or unsuitable models are not presented unfiltered as tagging models.
Understand API spend
Today, yesterday, last 7 days, last 30 days or a custom date range, with calls, token values and estimated cost per model.
Background analysis
AI jobs run through a controlled queue. Retries and status information improve reliability for larger uploads and temporary provider issues.
Asset Lifecycle
From raw file to approved brand asset.
AI Asset Hub connects asset management with operational processes. Rights, approvals, versions, tasks and distribution are handled directly around the asset.
1IngestionUpload or cloud synchronization, technical capture and duplicate checks.
2EnrichmentAI tags, descriptions, alt text, transcripts and search information.
3ReviewComments, annotations, tasks, approval status and correction loops.
4DistributionBrand portals, share links, download formats, transformation URLs and integrations.
5LifecycleVersions, rights, embargoes, expiry, archiving and controlled downloads.
Approvals, annotations & tasks
Collaborate directly on assets with comments, point-based annotations, approval tasks, status changes, correction requests and resubmission.
- Approval status directly on the asset
- Tasks with owners and briefing
- Comments and visual annotations
- History of status and version changes
Versioning & rights
Upload new file states, mark the current version and document usage conditions centrally.
- Compare versions and mark the current one
- Embargo and expiry dates
- Allowed countries / usage regions
- Model release & property release
- Internal-only and not-for-social flags
- Block downloads when rights expire
External Sharing & Brand Control
Deliver assets professionally outside your organization.
Instead of emailing ZIP files, selected assets can be made available in a controlled, branded and time-limited environment.
Branded portals for press, partners and campaigns
Public or password-protected portals without requiring external user accounts. Configure logo, primary color, description, expiry date, download access, watermark and allowed file formats.
Individual assetsCollectionsOriginal / JPG / PNG / WebPDownload counters
Share links
Share assets and collections externally while keeping access under control.
Secure file transfer
Dedicated Express areas for controlled file delivery outside regular asset portals.
External uploads
Let suppliers or partners upload files without granting them full access to the DAM.
Brand rules inside the system
Document logo rules, colors, typography, visual style, tone of voice, do's & don'ts and link relevant brand assets.
Automation
Standardize recurring DAM work.
Workflows and AI agents bring structure to recurring tasks, from metadata enrichment to approval and distribution.
DAM workflows
Build workflows for collaboration, approvals, metadata, rights/licenses, distribution, archiving and custom processes.
- Templates and custom steps
- Owners and due dates
- Assets or collections as workflow context
- Dashboard for open and upcoming steps
AI agents
Configurable agents create structured proposals or run targeted analyses for individual assets, folders or collections.
- Metadata, alt text and SEO
- Rights and creative briefing
- AI re-analysis of selected assets
- Accept or reject generated proposals
Use cases
For teams that manage large media libraries and need to find assets reliably.
AI Asset Hub is especially useful when assets are spread across projects, people, folders or cloud storage and search, rights and distribution need more structure.
Marketing & communications
Manage campaign images, video, press assets, social media files and event content centrally and find them faster with AI.
Brand management
Provide approved logos, key visuals, guidelines and brand resources to internal and external users in a controlled way.
Agencies & content teams
Combine versions, reviews, comments, approvals and file delivery in one shared asset process.
Press & partners
Distribute selected assets through Brand Portals or secure sharing without creating full DAM accounts for external users.
Audio & video archives
Create transcripts so spoken content becomes searchable in addition to standard metadata.
Organizations with data-control requirements
Run self-hosted and use local models for selected AI tasks to reduce dependency on cloud AI providers.
Connected DAM
Connect cloud storage, CMS and creative workflows.
AI Asset Hub can act as a central metadata and search layer even when original files remain in existing cloud storage systems.
Note: Native third-party plugins/apps for Adobe, Canva, Figma and WordPress can be built on top of the existing REST/manifest foundation; the platform provides the technical basis.
Media Studio & Web Intelligence
Go beyond storage: reuse and govern your assets.
Additional modules support social media production, website scanning and asset use beyond the classic DAM workflow.
Social media formats
Create predefined size variants for social channels from existing assets and save the results back to the Asset Hub.
Find assets on websites
Scan websites for embedded assets and compare findings with existing assets, folders or collections.
CDN / transformation URLs
Serve image variants using defined size, format and quality parameters for embed and download use cases.
Understand usage & inventory
Review asset usage, downloads, library sizes and other operational metrics centrally.
Notifications & tasks
Bring workflow steps and relevant system notifications together in a central inbox.
SMTP notifications
Configure and test optional email notifications through your own SMTP server.
More control over data, models and operations.
Cyberbude AI Asset Hub is designed for operation on your own server infrastructure. This gives organizations control over files, configuration and, with local AI, image analysis as well.
- Self-hosted on your own server/VPS infrastructure
- Optional local AI without an external AI provider for image tagging
- Cloud AI only when a provider is selected and an API key is configured
- Cloud connectors keep original files in their cloud storage
- Temporary cloud-analysis files are deleted after analysis
Roles, settings & operations
- User roles: Admin, Editor, Reader
- Control AI use per user
- Active AI model and status visible
- Feature modules can be enabled or disabled
- Storage and asset statistics
- Preview-cache management
- Login branding with replaceable logo
- Multilingual UI: DE, EN, FR, ES, IT
FAQ
Frequently asked questions about AI Asset Hub.
Short answers to key questions about digital asset management, AI, hosting, media types, sharing and integrations.
What is Cyberbude AI Asset Hub?
Cyberbude AI Asset Hub is digital asset management software for centrally managing, enriching, searching, approving and distributing images, video, audio and other media assets.
Can AI Asset Hub run without an external AI provider?
Yes. In addition to cloud AI with OpenAI, Gemini or Claude, the system supports a basic mode without an AI model and a local AI mode on your own server infrastructure.
Which media types does the system support?
AI Asset Hub manages images, video, audio and additional file types. Audio and video transcription capabilities are available.
Can the system be self-hosted?
Yes. AI Asset Hub is designed for self-hosted deployment on your own server or VPS infrastructure.
How can assets be shared externally?
Assets and collections can be delivered through controlled sharing and Brand Portals. Portals can be password protected, time limited and configured with download rules.
Which integrations are available?
The platform supports cloud connectors for Google Drive, Dropbox and OneDrive/SharePoint and provides a REST API as a foundation for CMS and creative workflows.
Ready for smarter asset management?
Show teams, partners and customers how quickly assets can be found with AI, securely approved and connected to existing workflows.