Video analytics
Video analytics extracts structured intelligence from recordings and time-series footage, so reviewers work from searchable summaries and trends instead of watching hours of tape.
Turn video and time-series footage into transcripts, scenes, topics and sentiment trends that teams can review and report on.
- MP4
- MOV
- AVI
- WebM
- Video content understanding service
- Speech transcription
- Keyframe and segment extraction
- Sentiment analysis
- JSON
- Field schemas
- Timestamps
The challenge
Organisations record far more video than anyone can watch. Public meetings, hearings, site footage and training sessions pile up, and the insight inside them stays locked in a format that cannot be searched, compared or summarised for a report.
Manual review is slow and inconsistent. Two reviewers notice different things, key moments are missed, and sentiment or concern shifts over time are hard to see. Teams need structured, repeatable output they can trust and trace back to the footage.
What it does
Transcription
Spoken content in a recording is converted to a full text transcript, so every statement can be searched, quoted and reviewed alongside the footage it came from.
Scene and segment detection
Footage is broken into key scenes and segments with approximate timestamps and short descriptions, letting reviewers jump straight to the moments that matter.
Summaries and topics
Each video receives a concise summary and a list of key topics, giving reviewers a fast overview before they decide what deserves a closer look.
Sentiment over time
Sentiment and concern themes are tracked across the length of a recording, showing how stakeholder mood and objections shift from the start of a session to the end.
Custom extraction fields
Teams define the fields they care about, such as topics, concerns or scene notes, and the analysis returns them as structured data ready for reports and dashboards.
Review and reporting
Results are organised for human review, with outputs that feed preparation, simulation and reporting work such as scoring responses or finding gaps in readiness.
How it works
Ingest footage
Video files in common formats such as MP4, MOV, AVI and WebM are brought in from storage, and the footage type is detected automatically.
Analyse asynchronously
Long recordings are submitted as background jobs, so large files do not block anyone, and the status of each job can be checked as it runs.
Structure the output
Transcripts, scene descriptions, topics and sentiment are returned against a defined field schema, giving consistent, machine-readable results for every video.
Review and report
Analysts review the structured output, trace findings to timestamps in the footage, and use the results in reports, preparation work or simulations.
Under the hood
- Media formats
- MP4
- MOV
- AVI
- WebM
- MKV
- Analysis
- Video content understanding service
- Speech transcription
- Keyframe and segment extraction
- Sentiment analysis
- Output
- JSON
- Field schemas
- Timestamps
- Execution
- Asynchronous jobs
- Job status checks
- REST
Business outcome
Insight without watching every hour. Reviewers start from transcripts, summaries and key scenes, so attention goes to the moments that matter rather than to scanning raw footage.
Consistent, repeatable review. A defined schema means every video is analysed the same way, replacing reviewer-by-reviewer variation with a standard that can be compared across projects.
Clearer view of concern over time. Sentiment and concern themes tracked across a recording help teams anticipate objections and prepare better responses before the next session.
Findings that trace to footage. Every result links back to a timestamp, so reports can be checked against the original recording and challenged with evidence.
Where it is used
- Preparing for public hearings by analysing past recordings for stakeholder concerns, themes and sentiment.
- Reviewing recorded meetings and training sessions to produce summaries, topics and searchable transcripts.
- Studying long site or process footage to flag key segments for expert review.
- Tracking how stakeholder sentiment changes across a series of recorded sessions for regulatory reporting.
Frequently asked questions
What kinds of video can it analyse?
It handles common recording formats such as MP4, MOV, AVI, WebM and MKV. It produces transcripts, scene descriptions, topics and summaries, and sentiment or concern trends across the length of a recording.
Can it handle long recordings?
Yes. Video analysis runs as an asynchronous background job, so long files are submitted and checked later by status, rather than holding up users while processing completes.
Can we define what gets extracted?
Yes. Output follows a field schema, so teams can define the topics, concerns or scene notes they need and receive them as consistent structured data for every video.
Does it replace human reviewers?
No. It prepares structured output so people review faster and more consistently. Findings trace back to timestamps in the footage, and reviewers keep the final decision on anything that goes into a report.
See it on your own documents and data
Tell us what you want to automate and we will show you how it runs inside the harness.