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Free Orthogonal Projection Calculator (2026)

Free orthogonal projection calculator: project vector a onto vector b, or vector a onto a plane with normal n. Supports 2D, 3D and n-D up to 10 dimensions with step-by-step solution, magnitudes, angle, distance and 2D/3D diagram. 100% client-side - runs entirely in your browser.

Free Orthogonal Projection Calculator (2026)

Orthogonal Projection Calculator

TL;DR Summary

The Orthogonal Projection Calculator finds the projection of one vector onto another using the standard vector projection formula. Use the result for a quick mathematical calculation; the supplied tool information does not document its internal privacy behavior, so avoid entering sensitive information unless the page explains how data is handled.

About This Tool

The Orthogonal Projection Calculator is a math tool for finding the component of one vector that lies in the direction of another vector. In linear algebra, this operation is called an orthogonal projection. It is useful when you need to separate a vector into a part that points along a chosen direction and a part that is perpendicular to that direction.

The calculator is intended for vector projection problems. A typical problem gives you two vectors: the vector being projected and the vector that defines the direction of the projection. The tool then calculates the projection of the first vector onto the second.

For example, suppose you have a vector u and want to find how much of it points in the direction of vector v. The orthogonal projection gives you a new vector that lies along v. This projected vector represents the portion of u that is parallel to the direction of v.

This calculation appears in many areas of mathematics and technical work. Students may use it when studying vectors, linear algebra, analytic geometry, or multivariable mathematics. It can also help when checking homework, verifying hand calculations, or working through vector-based problems.

What You Enter

The standard vector projection calculation requires two vectors. The first is the vector to be projected, commonly written as u. The second is the vector that provides the projection direction, commonly written as v.

The vectors must have matching dimensions. For a two-dimensional problem, both vectors have two components, such as (3, 4) and (1, 2). For a three-dimensional problem, both vectors have three components, such as (2, -1, 5) and (4, 3, 1).

Vector components do not need a special physical unit for the mathematical operation itself. If the components represent a physical quantity, however, their meaning and units should be kept consistent.

What the Calculator Produces

The main result is the orthogonal projection vector. This vector points in the direction of the reference vector and describes the component of the original vector along that direction.

The calculation may also be useful for understanding related quantities, such as the dot product and the squared magnitude of the reference vector. These values are part of the standard projection calculation because they determine how much of the original vector lies along the selected direction.

How to Use

  1. Step 1: Enter the components of the vector you want to project.
  2. Step 2: Enter the components of the vector that defines the projection direction.
  3. Step 3: Make sure both vectors have the same number of components.
  4. Step 4: Run the calculation to obtain the orthogonal projection vector.
  5. Step 5: Check the result against the direction of the reference vector and use the calculated vector in your problem.

Technical Explanation / Formula

For the standard projection of vector u onto a nonzero vector v, the formula is:

projv(u) = ((u · v) / (v · v))v

Here, u · v is the dot product of the two vectors. The dot product is found by multiplying corresponding components and adding the products.

For two vectors

u = (u1, u2, ..., un)

and

v = (v1, v2, ..., vn),

their dot product is:

u · v = u1v1 + u2v2 + ... + unvn

The denominator is:

v · v = v12 + v22 + ... + vn2

This is the squared magnitude of v. The reference vector must not be the zero vector because division by v · v would then require division by zero.

Worked Example

Consider:

u = (3, 4)

v = (1, 2)

First calculate the dot product:

u · v = (3)(1) + (4)(2) = 11

Next calculate the squared magnitude of v:

v · v = (1)(1) + (2)(2) = 5

The projection coefficient is therefore:

11 / 5 = 2.2

Multiply this coefficient by v:

projv(u) = (11/5)(1, 2) = (11/5, 22/5)

So the orthogonal projection is:

(2.2, 4.4)

The result is parallel to v = (1, 2), as expected.

Understanding Orthogonal Projection

The word orthogonal means perpendicular. When a vector is projected onto another vector, the original vector can be viewed as the sum of its projected component and a remaining component that is perpendicular to the reference direction.

In other words:

u = projv(u) + uperpendicular

The projected part follows the direction of v. The remaining part is orthogonal to v. This makes projection especially useful for breaking a vector into meaningful directional components.

Preset Examples / Quick Reference

Vector u Vector v Projection of u onto v
(3, 4) (1, 2) (2.2, 4.4)
(2, 2) (1, 0) (2, 0)
(1, 1) (1, 1) (1, 1)

These examples use the standard vector projection formula and are provided to show how the calculation works. They are not measurements from a physical system.

Important Input Checks

Before calculating a projection, check that the vectors have compatible dimensions. You cannot directly project a two-component vector onto a three-component vector using the standard dot-product formula because the corresponding components do not match.

Also check the reference vector. It must be nonzero. A zero reference vector has no defined direction, so its orthogonal projection cannot be calculated with the standard formula.

Why Use This Orthogonal Projection Calculator & How Our Calculator Beats the Competition

The practical value of an online projection calculator is that it provides a structured way to perform a standard vector calculation without setting up every arithmetic step by hand. Different methods still have different strengths, so the right choice depends on the problem.

Method Ease of Use Calculation Speed Best For Limitations
Toolhox Orthogonal Projection Calculator Enter vector components and calculate Suitable for individual calculations Quick vector projection problems Users should verify inputs and results for important work
Manual Calculation Requires several arithmetic steps Depends on the person doing the calculation Learning the projection formula Arithmetic or transcription errors are possible
Spreadsheet Requires a worksheet setup Useful for repeated calculations Multiple related calculations Formula setup takes additional work
Professional Engineering or Mathematics Software May require more setup Depends on the software and workflow Larger technical or mathematical workflows Can be more complex than needed for a single projection

This comparison describes general differences between calculation methods. It does not establish that one method is universally better than another.

Assumptions and Limitations

The calculation described here uses the standard vector projection definition. It assumes that the vectors are represented by corresponding numerical components and that the reference vector is nonzero.

The result depends directly on the values entered. Incorrect signs, missing components, mismatched dimensions, or incorrectly entered numbers can produce an incorrect result. Users should check their input before relying on the calculated projection.

The standard formula also assumes the intended operation is the projection of one vector onto another vector. A projection onto a line, plane, subspace, or other geometric object may require a different formulation. The standard two-vector formula should not automatically be treated as a solution for every type of projection problem.

Rounding can also affect displayed results. A rounded decimal result may differ slightly from an exact fractional result. When exact values matter, keep the fraction or use sufficient decimal precision during intermediate calculations.

The supplied tool information does not document the calculator's data-handling or storage behavior. For that reason, users should not assume that entered information is processed locally, never uploaded, or never stored. Avoid entering sensitive information unless the page clearly explains how submitted data is handled.

For ordinary mathematics exercises, the calculator can be used as a calculation aid. For engineering, scientific, academic, or other work where the result has significant consequences, verify the calculation independently and apply the requirements of the specific problem. The calculator result should not replace required professional review, documentation, or validation.

When to Use an Orthogonal Projection Calculator

Use an orthogonal projection calculator when you know the vector you want to project and the nonzero vector that defines the target direction. It is particularly useful for checking a hand calculation, learning how the dot product is used in projection, or obtaining a projection vector for a larger vector problem.

If your problem asks for a scalar projection instead of a vector projection, make sure you use the requested quantity. The vector projection and scalar projection are related but are not the same result.

For a scalar projection of u onto v, the standard formula is:

compv(u) = (u · v) / |v|

where |v| is the magnitude of the nonzero reference vector. The vector projection instead uses the vector v itself:

projv(u) = ((u · v) / (v · v))v

Knowing which form your problem requires helps prevent a common mistake: reporting a scalar when the question asks for a vector, or reporting a vector when only the directional component is requested.

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Clara Sullivan
Clara Sullivan
Clara Sullivan is an experienced content author focused on mathematics, vectors, geometry, and practical calculation tools.
Tool details

How to use Free Orthogonal Projection Calculator (2026)

1
Step 1
Pick Vector onto vector or Vector onto plane, then type vector a and vector b (or plane normal n) as comma-separated numbers, e.g. 3, 4.
2
Step 2
Choose decimal precision and click Calculate projection (or press Ctrl+Enter). Use the 2D / 3D / 4D buttons or Example for a one-click demo.
3
Step 3
Read the projection, rejection, scalar, angle/distance cards, check the step-by-step working, and copy the results.

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