Live to VoD

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

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

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.

How long does the Live to VoD workflow take from stream end to published?

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.

Which broadcast platforms does Flow support as triggers?

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.

Does Flow generate subtitles automatically as part of the Live to VoD workflow?

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.

Can the workflow publish to multiple platforms simultaneously?

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.

What happens if the transcoding job fails?

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.

How do you automate live-to-VoD processing?

Live-to-VoD automation converts a finished live stream into an on-demand asset without manual work. In Enveu Flow, the workflow triggers the moment a stream ends, then creates the VoD asset, generates subtitles and translated metadata, packages for every device, and publishes to your CMS — the full pipeline runs unattended in minutes, not hours.

How long does live-to-VoD take with Flow?

Most teams see the completed VoD — with subtitles, metadata and multi-device packaging — published within 15–25 minutes of the stream ending, versus several hours of manual clipping, encoding and uploading. The exact time depends on asset length and which enrichment steps you enable.

Does live-to-VoD work with my existing encoder and CMS?

Yes. Flow is a standalone orchestration layer that connects to the encoder, video platform, storage and CMS you already run — Mux, Brightcove, Kaltura, AWS, JW Player and 18 other integrations — so you automate the handoffs without replacing your live pipeline.

Put this workflow on autopilot.

See how Live to VoD runs end to end on your stack. Book a demo →