Search Your Basketball Game Film

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.

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.

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.

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.

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.

Both, with a caveat worth knowing. Mixpeek processes video files (MP4, MOV, MKV and similar) and connects to RTSP streams, where each sync poll captures a fixed-length segment rather than a continuous feed. HLS and RTMP are not supported. So a live workflow is either an RTSP connection sampling the camera, or your own pipeline posting frames for near-real-time analysis. There is a native Mux connector for assets already in Mux.

Mixpeek processes footage you already have rights to, it doesn't aggregate, republish, or distribute third-party content. The platform accelerates your own production workflows. Rights management for the output clips remains your responsibility per your licensing agreements.

Yes. Mixpeek can OCR on-screen score graphics, detect events (goal, foul, card, substitution), and extract structured JSON data from each match. This is useful for sports data platforms that need to correlate video moments with structured match statistics.

Mixpeek returns timestamps and confidence scores for all detected events. You can configure which events qualify, set minimum confidence thresholds, and define rules (e.g., include 5 seconds before and 10 seconds after each goal). Output is a structured manifest that your video editing pipeline assembles into the final reel.

Pricing is based on total video hours processed per month. Sports teams typically process 50-500 hours/week (games + training + archive). We offer volume pricing for high-throughput workflows and dedicated infrastructure for leagues or broadcasters processing thousands of hours per week. Contact us for a custom quote.