A media cell that never blinks.
CLERINT Media watches live television and web video around the clock — hearing every word, reading every caption, tracking every face — and groups what's emerging into stories before they trend.
What it watches.
Point CLERINT Media at a channel and it stays on it — satellite, cable, IPTV or the open web.
Ingest is FFmpeg-based, so any publicly reachable HLS, DASH or RTMP stream works. Channel line-ups are configured per deployment.
Platform names and logos are trademarks of their respective owners. Their presence here identifies the sources CLERINT can lawfully collect from, and does not imply any partnership, endorsement or affiliation.
Every frame — heard, read and seen.
CLERINT decodes each broadcast frame three ways at once: it transcribes the audio, extracts the on-screen text, and recognises every face — all indexed to the exact second so nothing is missed and everything is searchable.
Speech-to-text
Every spoken word transcribed with timestamps — a searchable transcript indexed to the exact frame.
On-screen OCR
Lower-third claims, tickers and breaking-news banners captured as they appear.
Face tracking
Detection, recognition and activity tracking, matched against a known-faces watchlist.
What actually reads the frame.
Three passes over every frame at once — what was said, what was written on screen, and who appeared — each indexed to the second so nothing is missed and everything is searchable.
Stories assemble themselves across channels.
When two or more streams start carrying the same keyword patterns, CLERINT groups them into an emerging story automatically — so you see the narrative forming across the whole surface, not one screen at a time.
It knows the difference between a programme and an ad break.
Raw stream becomes structured segments, so a mention inside a commercial is never filed as editorial coverage.
- Scene change
- Hard cuts and transitions that mark a boundary.
- Colour shift
- Palette changes that signal a new segment or source.
- Loudness & audio activity
- The level jump that reliably marks an ad break.
- Frame dedup
- Repeated frames that indicate a still or a stall.
- Channel bug matching
- The station logo appearing and disappearing.
- Ad fingerprinting
- Recognise a commercial already seen on another channel.
- Ticker detection
- Find and follow the scrolling band independently of the main frame.
- Rule engine
- Combine the signals into a decision you can audit and override.
Every face becomes a node in the narrative.
Each person who shows up on screen becomes an entity — linked to the stories they feature in, the events they're tied to, and the people they appear alongside. The result is a complete narrative map you can follow across the whole media surface.
The seven things it wakes you for.
- Keyword hit
- A watchlist term spoken or shown on screen.
- New face
- Someone appears who has never been seen before.
- Face on a new channel
- A known person crosses onto a channel they do not normally appear on.
- Sentiment shift
- Coverage of a subject turns supportive, neutral or hostile.
- Story emerging
- Two or more channels start carrying the same thing.
- Channel down
- A stream stops, with the time it stopped.
- Channel recovered
- It comes back, so the gap in the record is explicit.
Track the story's message as it shifts.
Sentiment and framing are scored over time, so you can see how coverage of a subject moves — supportive, neutral or hostile — and get alerted the moment the narrative turns.
What you can take out, and what it refuses to do.
The things people ask before a briefing.
Does it handle Urdu?
Yes, and with a recogniser built for right-to-left script rather than a Latin model asked to cope. On-screen text and speech are both handled, and transcription is multilingual.
What can it actually monitor?
Any publicly reachable HLS, DASH or RTMP stream, satellite and cable channels fed into the deployment, YouTube, and web video. Channel line-ups are configured per deployment.
Can it recognise faces on television?
Yes — detected and recognised against a watchlist, with unknown faces clustered automatically so you name a person once and the back catalogue resolves behind them.
Can it tell an advert from the programme?
Yes. Segmentation combines scene change, colour shift, loudness, channel-logo matching and ad fingerprinting to label programme, advert, bumper and headline roll — so a mention inside a commercial is never filed as editorial coverage.
Point CLERINT Media at your channels.
Bring the streams you need to watch — we'll show you the stories, faces and narratives forming across them in real time.