Video podcast & creator
Turn every recording into a complete, searchable, platform-ready content package.
- Shorter time from recording to publication
- More derivative clips per episode
- Fewer editor hours spent on first-pass packaging
How Amira runs this workflow
Proactive 24/7 intelligence across every stage
Find the strongest moments without scrubbing
ContentSense identifies subjects, quotable moments, topic transitions, and calls to action. PostSense converts those findings into chapters, shorts, guest clips, rough cuts, and platform-specific versions.
Captions, transcripts, and quality gates
CaptionSense generates full captions, social burns, transcripts, and subtitle files. AudioSense and VQSense catch mic levels, clipping, noise, frozen remotes, and missing sources before publish.
Brand-safe and rights-aware packaging
SafeSense flags platform, sponsor, and brand-safety concerns for human review. MusicSense assists with intro, outro, and incidental music rights-review workflows. Produce once and publish everywhere.
PostSense · Live Operator Surface
Automated Conform & Deliverable QC · 42 shots verified in 19 seconds
- Shot 18 (00:21:14)Shot 18 mismatches master grade at 00:48:12:04VERSION DRIFT
- Shot ConformFrame-accurate match against programme master41/42 VERIFIED
- Storage AccessScanned directly in existing SAN/NAS storageNO MIGRATION
Trailer-to-master conform check: 41/42 shots match, 1 drift
Proactive suggested fix
Shot 18 (TC 00:00:21:14) uses ungraded WIP take instead of final master reel; replace before client ship.
Modular Sense bundle
Sense packaging for this use case
Lead with the Senses that prove the outcome. Expand with supporting Senses as the workflow matures. Navi correlates findings into one actionable incident.
Lead Senses
Supporting Senses
Correlated by Navi
One incident with cause, clip, and next action
Navi reads every Lead and Supporting Sense on the same timeline so operators act once instead of chasing separate alarms.
Ready to test Video podcast & creator on your own stream?
Bring a live feed or file sample and see these Senses running live.