Vertical Jump Meter

Measure your vertical jump height automatically from video using AI pose detection, or manually with a timer.

The Vertical Jump Meter provides fast, accurate processing directly in your browser. It supports multiple input formats, handles edge cases correctly, and processes everything locally with no server uploads for complete privacy. Ideal for developers, students, professionals, and anyone who needs reliable results without installing software or creating an account.

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Tutorial

How to Use the Vertical Jump Meter

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Record or upload a video of your jump

Use your phone to record a vertical jump from a side angle, about 2-3 meters away. Slow-motion video (60fps+) gives the best accuracy. Make sure your full body is visible.

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AI automatically detects your jump

Our AI pose detection model analyzes every frame to track your feet, automatically detecting the exact takeoff and landing moments.

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Review and fine-tune the result

See your jump height, flight time, and a trajectory chart. Use the frame adjustment sliders to fine-tune the detection if needed.

Guide

Complete Guide to Vertical Jump Meter

What Is Vertical Jump Meter?

Vertical Jump Meter is a free online tool that measure your vertical jump height automatically from video using ai pose detection, or manually with a timer. It runs entirely in your browser using optimized JavaScript algorithms, which means instant results without network latency or server dependencies. Your data never leaves your device, ensuring complete privacy and security for all your processing needs.

Why Vertical Jump Meter Matters

This type of processing is a common need across many professions and daily tasks. Developers, students, marketers, engineers, and content creators all face situations where quick, accurate conversion or analysis is essential. Manual work is error-prone and time-consuming, while this tool automates the process with verified algorithms, saving you time and reducing mistakes significantly.

Key Concepts

Understanding the fundamentals helps you use the tool more effectively. The underlying algorithms follow industry standards and best practices established by international organizations. Results are computed client-side using optimized code, which means instant feedback without network latency. The tool handles unicode, special characters, and edge cases that simpler implementations might miss.

Best Practices

Always verify your input before processing to ensure the best results. For large datasets, consider breaking the work into manageable chunks. Copy your results immediately after processing, as data is not stored between sessions for privacy reasons. Bookmark the tool for quick access in future sessions, and explore the various output format options to match your downstream workflow requirements.

Examples

Worked Examples

Example: Basic Vertical Jump Meter Usage

Given: Standard input data requiring processing.

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Step 1: Enter or paste your input data into the tool.

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Step 2: Configure any options or target format as needed.

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Step 3: Click the process button to generate output instantly.

Result: The tool produces the correct output immediately, ready to copy or download for your project.

Example: Advanced Use Case

Given: Complex input with special characters or edge cases.

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Step 1: Paste the complex input into the tool.

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Step 2: Verify the tool handles all special characters correctly.

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Step 3: Copy the processed output for integration into your workflow.

Result: All edge cases are handled correctly, producing clean and reliable output.

Use Cases

Use Cases

Basketball training

Track your vertical jump progress over weeks of plyometric training with precise AI-measured results.

Volleyball tryouts

Record your jump with a phone and get an instant height measurement without specialized equipment.

Fitness assessment

Use as part of a general fitness test to measure explosive lower-body power with video proof.

Frequently Asked Questions

?How does the AI video analysis work?

We use Google MediaPipe Pose Landmarker to detect 33 body landmarks in each video frame. The AI tracks your feet to identify the exact frames where you leave the ground (takeoff) and return (landing), then calculates flight time and jump height using physics.

?How accurate is the video analysis?

At 30fps accuracy is ±5-8 cm. At 60fps (slow-motion) it improves to ±2-4 cm, which is suitable for training. For near force-plate accuracy, use 120fps slow-motion video.

?What kind of video gives the best results?

Record from a side angle, 2-3 meters away, with your full body visible from head to feet. Use slow-motion mode on your phone (60fps or 120fps) for better accuracy. Keep the camera steady.

?Does it work on my phone?

Yes! You can record a video directly from the tool or upload an existing video. The AI runs entirely in your browser using WebAssembly and WebGL.

?What if the AI doesn't detect my jump correctly?

You can manually adjust the takeoff and landing frames using the sliders below the trajectory chart. You can also switch to the Manual tab to enter the air time directly.

?Is my data private?

Absolutely. All video processing and AI analysis run locally in your browser. Your video is never uploaded to any server.

?Is this tool free?

Yes, it is completely free with no sign-up required.

?What is the formula used?

We use the free-fall kinematic equation h = g × t² / 8, where g is gravitational acceleration (9.81 m/s²) and t is total air time. This gives the peak height reached during a jump.

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