From Raw Footage to Ready-to-Publish Content
Multimodal AI analyzes visual action, audio spikes, and on-screen graphics together — catching every moment human editors miss.
Automated Highlight Generation
Detect goals, dunks, touchdowns, and crowd reactions using combined visual action detection, audio spike analysis, and on-screen graphic parsing. Highlights are ready in minutes, not hours.
Semantic Archive Search
Make decades of archived broadcast footage searchable by natural-language query — player name, action type, team, score situation, or semantic description. Every scene becomes a data point.
Broadcast & Performance Analytics
Extract structured data from raw video — on-screen score overlays, player stats, VAR indicators, and event sequences — as structured JSON. Correlate video moments with match data automatically.
The Numbers
What sports media teams see after deploying Mixpeek
How It Works
Three analysis channels fused into a single highlight score
Real-World Use Cases
Discover how organizations are leveraging Mixpeek to solve complex challenges
Sports Highlights
Auto-generate highlight reels from full-length sports footage
24x faster
Highlight generation time
Sports broadcasters, media companies, and content teams processing 100+ hours of live footage weekly
Frequently Asked Questions
How does Mixpeek detect highlight moments in sports footage?
Mixpeek uses a combination of visual action recognition (player contact, ball trajectory, goal sequences), audio spike detection (crowd noise, commentator excitement), and on-screen graphic analysis (score changes, replays). All three signals are fused together to rank moments by highlight potential. You configure what counts as a highlight per sport through customizable event taxonomies.
Which sports are supported?
Any sport that's been filmed. Mixpeek supports configurable event taxonomies, so football (goals, fouls, red cards), basketball (dunks, three-pointers, blocks), American football (touchdowns, interceptions), baseball (home runs, strikeouts), tennis (aces, winners), and custom sports all work. Each sport defines its own 'highlight moment' criteria.
How fast can highlights be generated after a game ends?
With batch processing, a 90-minute match can be fully analyzed and highlights assembled within 15-20 minutes of the final whistle. For live streams, Mixpeek can generate near-real-time highlights within minutes of a moment occurring, enabling immediate social media publishing.
Can it search archived broadcast footage from previous seasons?
Yes. Upload historical footage in bulk and Mixpeek processes it into a fully searchable archive. Query by player name (with face recognition), action type ('bicycle kick', 'hat trick'), date range, or semantic description ('dramatic comeback in the final minute'). Results include exact timestamps and keyframes.
How does player identification work?
Provide labeled reference images of each player (jersey number, headshot, or in-game frames). Mixpeek builds face and visual signature models per player. You can then search footage by player name and retrieve every scene they appear in with timestamps and confidence scores.
Does this work with live broadcast streams or only recorded footage?
Both. Mixpeek processes pre-recorded video files (MP4, MOV, MKV, etc.) and can integrate with live stream ingestion pipelines via HLS or RTMP. For live workflows, frames are sampled and analyzed in near-real-time with configurable latency targets.