About This Tool

This interactive converter helps you visualize how floating-point and integer numbers are represented at the binary level. This converter follows the IEEE 754 floating-point standard and supports standard formats (FP64, FP32, FP16) as well as specialized formats used in machine learning and AI (BF16, TF32, FP8 E4M3, FP8 E5M2). Integer formats commonly used in ML quantization are also supported (INT32, INT16, INT8, INT4, and their unsigned variants). Custom formats can be used as well by specifying the number of sign, exponent, and mantissa bits. This tool is mobile-friendly and supports screens of all sizes.

When converting between formats, you can choose from the five IEEE 754 rounding modes: round to nearest (ties to even), round to nearest (ties away from zero), round toward zero (truncation), round toward +infinity (ceiling), and round toward −infinity (floor). The default is ties to even, which is the standard IEEE 754 rounding mode.

The tool also reports the precision loss of each conversion as the absolute and relative error between the input value and its output representation. Value presets let you explore special cases like zero, infinity, NaN, subnormals, and the smallest and largest representable numbers.

How to Use

Choose Your Input Format Select from standard formats (FP32, FP16, BF16, etc.) or customize the number of sign, exponent, and mantissa bits.
Enter a Value Type any decimal number, or use the value presets to explore special cases like infinity, NaN, or the smallest/largest representable numbers. You can also edit the binary or hexadecimal representation directly.
Select Output Format Choose a different format to see how your number would be represented. The tool automatically shows precision loss when converting between formats.
Explore Components View the breakdown of sign bit, exponent, and mantissa. Interactive binary checkboxes let you flip individual bits to see how they affect the final value.
Bookmark or Share Your Conversion The address bar automatically updates to reflect your current input format, output format, value, and rounding mode. Copy the link to share an exact conversion, or bookmark the page to return to it later.

Common Use Cases

ML Engineers: Understand how BF16, FP16, and integer quantization (INT8, INT4) affect model precision
Students: Learn how the IEEE 754 standard and two's complement integers work by visualizing binary representations
Developers: Debug floating-point precision issues by examining exact bit patterns
Hardware Engineers: Design and validate custom floating-point and integer formats for specialized applications

Supported Formats

Click any format name to read a detailed guide on how it works, with interactive visualizers and technical breakdowns.

Standard IEEE 754: FP64 (Double Precision), FP32 (Single Precision), FP16 (Half Precision)
Machine Learning Formats: TF32 (TensorFloat-32), BF16 (Brain Float 16)
OCP Microscaling Formats: FP8 E4M3, FP8 E5M2, FP6 E3M2, FP6 E2M3, FP4 E2M1
Integer Formats: INT32, UINT32, INT16, UINT16, INT8, UINT8, INT4, UINT4 (two's complement signed, unsigned)
Custom Formats: Create any format with 0-15 exponent bits and 0-112 mantissa bits (including fixed-point formats)

Shareable Links

Every conversion is encoded in the page URL, so a conversion is easy to bookmark or share. As you change the input format, output format, value, or rounding mode, the address bar updates automatically. Copy it to share the exact state you are looking at, or click the button below to copy it to your clipboard.

Floating Point Conversion Calculator

Input Format

Input Value

Output Format

Output Value

About This Tool

How to Use

Common Use Cases

Supported Formats

Shareable Links