The platform solves these issues by turning every video into a data point. You can overlay angle measurements (e.g., knee flexion at 90 degrees), draw persistent lines, and even compare two videos side-by-side across different dates.
The standout feature of is the AI skeleton overlay. Upload a video of a squat or a pitch, and the AI automatically detects 17+ key body points (shoulders, hips, knees, ankles). This creates a "stick figure" overlay that highlights the kinetic chain instantly. You can immediately see if the hips are dropping too early or if the back is rounding. vid2coach top
Continuous video monitoring raises questions around data privacy and user consent. The platform solves these issues by turning every
: Using RAG, it references specialized accessibility libraries to supplement instructions with non-visual workarounds (e.g., advising a user to use kitchen shears instead of knives for safety). Upload a video of a squat or a
Useful for anyone performing tasks where their hands or eyes are busy, such as complex DIY projects or assembly. Virtual Coaching:
For BLV users, it adds "accessibility tips" (e.g., using kitchen scissors instead of a knife for peppers) by pulling from curated datasets. 🔍 Key Performance Metrics Based on technical evaluations and user studies (N=8):