From Raw Game Film to Full Box Scores
A fine-tuned basketball vision model detects players, reads jersey numbers, classifies teams, and logs every event — steals, turnovers, shots, assists, blocks — automatically.
Player Detection & Tracking
Fine-tuned basketball vision model identifies and follows every player across all frames with ByteTrack multi-object tracking. Works with fixed-camera footage from Veo, Hudl, or any tripod setup.
Jersey Number OCR & Team Classification
PARSeq scene-text recognition reads jersey numbers from in-game crops. KMeans clustering on jersey color features automatically classifies every player into HOME or AWAY teams.
Event Detection & Box Scores
Detects steals, turnovers, shot attempts, made baskets, assists, blocks, and rebounds from model predictions with temporal smoothing. Produces full per-player box scores automatically.
How It Works
Upload footage via API. Get structured analytics back in minutes.
Upload Game Film
Fixed-camera footage from Veo, Hudl, or any tripod. MP4, MOV — any format.
AI Analyzes Every Frame
Player detection, ball tracking, jersey OCR, team classification, and event detection run automatically.
Get Box Scores & Video
JSON box scores, timestamped event logs, and annotated video with live HUD overlays.
The Numbers
What basketball programs see after deploying Mixpeek
Built For
Youth & AAU Programs
Automated box scores for every game without dedicated stat crews. Parents and coaches get per-player breakdowns from any fixed-camera footage.
High School & Prep Programs
Film review with event-tagged video. Identify steals, turnovers, and shot tendencies across a full season of game film.
Recruiting Platforms
Attach verified AI-generated stats to player profiles. Jersey number OCR links events directly to individual athletes.
Tournament Organizers
Process hundreds of games per weekend. Pay per minute of video — no per-seat licenses, no minimums, no annual contracts.
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.