Binary Fraction Converter

The Binary Fraction Converter enables bidirectional conversions between decimal and binary systems for numbers with decimal places. The tool provides step-by-step conversions, automatic repeating pattern detection, decomposition into integer and fractional parts. Ideal for computer science students, programmers, engineers and professionals working with binary systems, floating-point data representation, low-level programming and precise numerical conversions for computing applications.

Updated at: 06/29/2025

How the Binary Fraction Converter Works

The Binary Fraction Converter is a powerful tool that performs precise conversions between decimal and binary formats, including numbers with fractional parts. It is particularly useful for students, developers, and engineers who work with floating-point arithmetic, binary data, and low-level computer logic.

This converter not only provides exact binary equivalents but also shows step-by-step conversion for both integer and fractional parts. It detects repeating patterns and decomposes each number into its components, ensuring accuracy and educational value.

Binary Conversion Basics

The binary number system uses only two digits—0 and 1—and each digit represents a power of 2. While integer conversions are straightforward, converting decimal fractions requires multiplying by 2 repeatedly.

For example:

  • 2^0 = 1

  • 2^-1 = 0.5

  • 2^-2 = 0.25

  • 2^-3 = 0.125, and so on

These positions are used to express binary fractions.

Step-by-Step Example: 13.375 in Binary

Let’s look at the conversion of 13.375 with 8-bit precision:

Step 1: Separate the number

  • Integer part: 13

  • Fractional part: 0.375

Step 2: Convert the integer part

  • 13 ÷ 2 = 6 remainder 1

  • 6 ÷ 2 = 3 remainder 0

  • 3 ÷ 2 = 1 remainder 1

  • 1 ÷ 2 = 0 remainder 1

  • Result: 1101

Step 3: Convert the fractional part

  • 0.375 × 2 = 0.750 → take 0

  • 0.750 × 2 = 1.500 → take 1

  • 0.500 × 2 = 1.000 → take 1

  • Result: .011

Final binary result: 1101.011

Common Decimal to Binary Conversions

Here are some frequently used binary fraction conversions:

Decimal Binary
0.5 0.1
0.25 0.01
0.75 0.11
0.125 0.001
0.375 0.011
0.875 0.111

These conversions help visualize fractional binary values in computer memory and arithmetic.

How Are Binary Fractions Used?

Binary fractions are vital in digital computing, where all data is represented in binary. Applications include:

  • Floating-point representation: Used in programming and numerical computation

  • Low-level programming: Bitwise operations and memory storage

  • Computer architecture: Binary logic and arithmetic

  • Signal processing: Digital signals rely on binary fraction math

Understanding how to convert and interpret binary fractions is crucial in all these fields.

Why Can’t Some Decimals Convert Exactly?

Just like 1/3 = 0.333... in decimal, some values repeat infinitely in binary. For example:

  • Decimal: 0.1

  • Binary: 0.0001100110011...

This repeating binary cannot be expressed exactly with limited bits, which leads to rounding errors in digital systems—a critical consideration in scientific computing and programming.

Decimal to Binary Conversion Formula

To convert the fractional part:

  1. Multiply the fraction by 2

  2. Extract the integer part (0 or 1)

  3. Use the fractional part of the result for the next step

  4. Repeat until you reach desired precision or a repeating pattern

Example:

  • 0.375 × 2 = 0.750 → 0

  • 0.750 × 2 = 1.500 → 1

  • 0.500 × 2 = 1.000 → 1
    Result: 0.011

Binary to Decimal Conversion

To convert back to decimal:

  • Multiply each binary digit by its corresponding power of 2

  • Sum both integer and fractional values

Example:

  • Binary: 1101.011

  • Decimal:

    • Integer: 1×8 + 1×4 + 0×2 + 1×1 = 13

    • Fractional: 0×0.5 + 1×0.25 + 1×0.125 = 0.375

    • Total: 13.375

Can I Convert Very Small or Repeating Decimals?

Yes, but with a limit. The calculator can detect repeating patterns up to your specified precision. Keep in mind:

  • Limited bits = limited accuracy

  • Use higher precision for scientific or financial applications