Vector Angle Calculator
Find the angle between two nonzero 3D vectors in degrees.
Open toolCosine Similarity Calculator
Find cosine similarity of two nonzero real vectors. Provide First vector, Second vector to compute results directly in your browser. Use 1-1,000 comma- or whitespace-separated finite numbers, with magnitude at most 1 billion. Equal vector lengths; both norms must be positive. This measures angle, not a Pearson correlation. Inputs and results use floating-point numbers; output shows up to 12 significant digits. Rounding can occur. Common search workflows supported include "cosine similarity calculator for text".
Free to useNo sign-upRuns in your browser
Enter your details
Enter the inputs, then select Calculate.
Your result
Enter your details
Result will appear here
How the Cosine Similarity Calculator Works & Core Formula
The Cosine Similarity Calculator evaluates First vector, Second vector in client-side JavaScript using the deterministic rule below and updates the output panel immediately without uploading data to a server.
Find cosine similarity of two nonzero real vectors.
Use 1-1,000 comma- or whitespace-separated finite numbers, with magnitude at most 1 billion. Equal vector lengths; both norms must be positive. This measures angle, not a Pearson correlation. Inputs and results use floating-point numbers; output shows up to 12 significant digits. Rounding can occur.
Cosine Similarity Calculator Quick Reference & Input Guide
Review the input parameters, allowed value ranges, and worked reference cases for the Cosine Similarity Calculator below before running your calculation.
| Parameter / Scenario | Default / Sample Value | Rule or Allowed Range | Output / Usage Note |
|---|---|---|---|
| Input: First vector | 1, 0 | Up to 100,000 characters; processed in this browser. | Required workspace parameter |
| Input: Second vector | 1, 1 | Up to 100,000 characters; processed in this browser. | Required workspace parameter |
| Worked Case 1: Baseline run (First vector = 1, 0) | Preloaded / test values | Find cosine similarity of two nonzero real vectors | First vector: 1, 0; Second vector: 1, 1. The displayed output is 0.707106781187. |
| Worked Case 2: Comparison scenario (Comparison first vector check) | Preloaded / test values | Find cosine similarity of two nonzero real vectors | First vector: 1, 2; Second vector: -1, -2. The displayed output is -1. |
Step-by-Step Guide to Using the Cosine Similarity Calculator
Follow these three steps to configure First vector, Second vector, verify unit and boundary rules, and export your Cosine Similarity Calculator output.
Input and settings
Tool result
Calculate and read the output
Select Calculate to see the cosine similarity. Copy result copies this text; Download saves it as a TXT file.
Review the details
Practical Worked Examples for Cosine Similarity Calculator
These concrete scenarios illustrate how the Cosine Similarity Calculator processes baseline inputs, comparison checks, and boundary constraints.
Baseline run (First vector = 1, 0)
First vector: 1, 0; Second vector: 1, 1. The displayed output is 0.707106781187.
Comparison scenario (Comparison first vector check)
First vector: 1, 2; Second vector: -1, -2. The displayed output is -1.
Boundary & unit check (Cosine Similarity Calculator For Text)
When solving for 'cosine similarity calculator for text', verify that First vector, Second vector use consistent units and stay within the documented scope: Use 1-1,000 comma- or whitespace-separated finite numbers, with magnitude at most 1 billion. Equal vector lengths; both norms must be positive. This measures angle, not a Pearson correlation. Inputs and results use floating-point numbers; output shows up to 12 significant digits. Rounding can occur.
How to Read and Verify the Cosine Similarity Calculator Output
The output panel reports the exact result derived from First vector, Second vector alongside any unit or formatting notes.
The result is the cosine similarity. Compare vector directions while allowing different vector lengths in magnitude.
Numerical output shows up to 12 significant digits. Floating-point arithmetic and display rounding can affect the last digits.
- Example input
- First vector: 1, 0; Second vector: 1, 1
- Example output
- 0.707106781187
Scope Limits, Accuracy Assumptions & Related Everyday Math Tools
Review these boundary constraints and validation rules before relying on the Cosine Similarity Calculator output.
Operational scope: Use 1-1,000 comma- or whitespace-separated finite numbers, with magnitude at most 1 billion. Equal vector lengths; both norms must be positive. This measures angle, not a Pearson correlation. Inputs and results use floating-point numbers; output shows up to 12 significant digits. Rounding can occur. Inputs that violate minimum/maximum bounds or required format rules are rejected with a clear diagnostic prompt.
Need an adjacent calculation in Everyday Math? Use the related tools linked below to chain your workflow without leaving your browser.
More free tools to try
Choose another tool for your next calculation, conversion, or text task.
Cost Per Acquisition Calculator
Find advertising cost per attributed acquisition and compare it with a supplied target.
Open tool
Cost Per Click Calculator
Find average advertising cost per recorded click.
Open tool
Birthday Probability Calculator
Find the probability that at least two people share a birthday category.
Open tool
Elo Rating Calculator
Find expected scores and updated ratings for a two-player Elo match.
Open toolFrequently Asked Questions About Cosine Similarity Calculator
Answers about using Cosine Similarity Calculator and understanding its results.
How do I calculate cosine similarity calculator for text using the Cosine Similarity Calculator?
The Cosine Similarity Calculator applies the rule: Find cosine similarity of two nonzero real vectors. Enter First vector, Second vector into the workspace and the tool computes the exact output in your browser.
What input parameters and units are required for Cosine Similarity Calculator?
Yes. Provide First vector, Second vector using the documented units and format shown in the quick reference table above. Preloaded default values let you test the workflow immediately.
What are the accuracy limits and boundary assumptions for Cosine Similarity Calculator?
Use 1-1,000 comma- or whitespace-separated finite numbers, with magnitude at most 1 billion. Equal vector lengths; both norms must be positive. This measures angle, not a Pearson correlation. Inputs and results use floating-point numbers; output shows up to 12 significant digits. Rounding can occur. Confirm that your inputs fall within the allowed ranges before exporting the result.
Is the Cosine Similarity Calculator free and does it keep my inputs private?
Yes. All calculations for the Cosine Similarity Calculator execute 100% locally in your browser's JavaScript runtime. No inputs or results are uploaded to any external server.
Get the cosine similarity
Choose another tool for your next calculation, conversion, or text task.