Digital & Engineering
Run the media layer behind your websites and applications.
Bring uploads, asset metadata, image transformations, video processing and delivery together behind your existing systems. Give your engineering team a media platform to operate against, and your content team a library it can work in.
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The work behind the outcome
The first image endpoint is only the start of the work.
Once media is in production, the work includes new image sizes, video formats, metadata changes, access rules and delivery behaviour. FileSpin brings those capabilities together so your engineers can concentrate on how media serves the application.
System boundaries
Fit the media layer around the systems you already rely on.
Your PIM, CMS or custom application can continue to own its business data and experience. FileSpin manages and prepares media, with APIs for uploads, metadata and delivery. Define the links between those systems explicitly, including asset identifiers and the references each destination consumes.


Image and video delivery
Change the output without maintaining another source library.
Use On-Demand Imaging to request image sizes, crops and formats through delivery URLs. For video, use transcoding and HLS adaptive streaming to prepare playback across devices. Keep source media available while the delivery requirements evolve.
Operational fit
Evaluate the parts you will need to run in production.
Bring the workload as well as the happy path: asset types, file sizes, processing steps, traffic patterns, storage requirements and access rules. Agree the integration ownership and support scope before deciding how far to roll out.

Relevant customer experience
Built into production media systems today.
Informa Festivals uses FileSpin APIs for media intake, metadata, image and video processing, and delivery. XXL uses FileSpin behind its product-media workflow to generate image outputs for retail channels.
AI Agent / optional workflow
Choose how media work is started.
Use REST APIs for defined application flows, the dashboard AI Agent for team tasks, or the MCP Connector for supported external AI agents. Keep permissions and release decisions explicit whichever entry point you use.


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