Platform Migration
Content Migration
Move assets between platforms or storage systems with automated metadata mapping, transcoding, and validation.
Why is content migration so painful for media teams?
Moving a content catalog from one platform to another is one of the most operationally complex tasks a media team faces. Most teams underestimate the coordination cost until they are in the middle of it.
- Metadata fields do not match between source and destination systems
- Video assets may be stored across multiple storage locations
- Subtitle tracks get lost or mistimed during migration
- Manual CSV mapping is required for every metadata field difference
- Broken media references are only discovered after the migration completes
- A catalog of 10,000 titles can take weeks of engineering time to migrate
Without automation, content migration is a high-risk, high-effort project that delays platform launches and ties up engineering resources for months.
How it works.
Common scenarios.
Legacy CMS migration
Move a catalog from a legacy CMS into a modern OTT platform. Flow fetches, maps metadata, re-transcodes where needed, and publishes every asset automatically.
Storage migration
Move video assets from on-premises storage to cloud object storage. Flow handles the transfer, validates file integrity, and updates all CMS references.
Platform rebuild
Launching a new OTT service and need to transfer an existing catalog. Flow migrates all assets, metadata, and subtitles in batch before launch day.
Archive normalisation
A legacy library of content needs cleaning and normalising before re-publishing. Flow standardises metadata schemas and re-transcodes to current delivery specs.
Without Flow vs With Enveu Flow
- Manual CSV export from source platform
- Custom scripts written per migration project
- Metadata mapping done field by field manually
- Transcoding jobs triggered and monitored manually
- Broken references discovered post-migration
- Weeks of engineering time for large catalogs
- Automated fetch from any source platform or storage
- Schema mapping configured once and reused
- All metadata fields mapped and validated automatically
- Transcoding runs as part of the migration pipeline
- Validation checks run before publish - errors flagged early
- Large catalogs migrated in batch with full audit log