OTT & Broadcast

Live to VoD

Automatically convert live recordings into on-demand assets — from stream end to CMS publish in under 25 minutes.

Under 25 min Stream end to VoD live

Why is Live to VoD painful for media teams?

Every live event your team produces has a second life as on-demand content. But for most broadcast and OTT teams, the journey from live stream to published VoD is a slow, manual, error-prone process that starts the moment the stream ends.

  • Someone manually triggers the transcoding job — if they are available when the stream ends
  • An engineer checks the output quality before passing it to the next step
  • A metadata editor updates the CMS with titles, descriptions, tags, and thumbnails
  • Subtitles are generated or uploaded separately, adding another manual step
  • A notification goes out manually when the asset is finally live
  • The whole process takes 2 to 8 hours — for something that should run automatically

For teams running multiple live events per week, this manual overhead adds up to dozens of engineering and ops hours lost every month. Viewers who missed the live stream wait hours for the replay. Social clips are late. And your team repeats the same process next week.

This is not a staffing problem. It is an automation problem.

8 hrs to 25 min
Live stream to published VoD
End-to-end pipeline time
90%
Reduction in manual ops steps
Trigger to CMS publish
Zero
Manual handoffs required
Fully automated on stream end

How it works.

Real example A live match ends at 22:30. By 22:55, the full VoD is live in the CMS with subtitles, translated metadata, and a Slack notification sent to the content team.

Common scenarios.

Sports events

Match ends and the full recording is automatically ingested, transcoded, subtitled, and published to your OTT platform before the post-match show is over.

Live conferences

A conference session ends and the VoD is available to registered attendees within minutes - no post-production team required.

News broadcasts

Breaking news coverage is automatically converted to searchable, timestamped VoD content and published to your news archive.

Multi-language platforms

Live content ends and VoD assets are published simultaneously in all configured languages - titles, descriptions, and subtitles all localised automatically.

Without Flow vs With Enveu Flow

✕ Without Flow
  • Manual trigger required after stream ends
  • Engineer monitors transcoding job completion
  • Metadata editor updates CMS manually
  • Subtitle files generated and attached manually
  • 2 to 8 hours elapsed time per event
  • High risk of errors under time pressure
✓ With Enveu Flow
  • Webhook fires automatically on stream end
  • Transcoding, subtitles, and metadata run in parallel
  • CMS published automatically with all assets attached
  • Slack notification fires when VoD is live
  • Under 25 minutes from stream end to live
  • Consistent, auditable, zero human touchpoints

Frequently asked questions.

The full pipeline - ingest, transcode, subtitle generation, metadata translation, and CMS publish - completes in under 25 minutes from when the stream ends. Exact timing depends on the length of the recording and your transcoding configuration.
Flow supports Brightcove, Mux, Wowza, Kaltura, MK.IO, and JW Player as live stream triggers. The workflow fires automatically when the stream ends via a webhook from your configured platform.
Yes. Flow uses Gladia to transcribe the audio track and generate SRT and VTT subtitle files automatically. These are attached to the VoD asset in your CMS before the asset goes live.
Yes. Flow can publish the transcoded VoD asset to multiple destinations in parallel - your primary OTT CMS, a secondary CDN, and social channels - all as part of a single workflow execution.
Flow includes configurable error handling at every step. If a transcoding job fails, Flow can retry automatically, notify your team via Slack, and log the error with full input and output inspection for debugging.