Digital-to-Analog Converter DAC Resolution Calculator

This post includes a DAC resolution calculator. Additionally it explains the concept of resolution and practical implications of this key specification.


Enter the max and min analog output voltage values and number of DAC bits.

Example Calculation

For an 8-bit DAC that produces 0V to 5V, the voltage resolution is 19.5 mV.

As the number of bits increases, the voltage resolution decreases thereby providing greater granularity in the output level.

For instance, for the same output voltage range:

  • a 12-bit DAC has a resolution of 1.22 mV
  • a 16-bit DAC has a resolution of 76.29 ┬ÁV

DAC Resolution Formula

DAC Resolution = (VMax-VMin)/(2N)


  • VMax is the maximum input analog voltage level
  • VMin is the maximum input analog voltage level
  • VMax – VMin represents the Full scale range of the ADC
  • N is the number of DAC bits


DAC resolution refers to the degree of detail that a Digital-to-Analog Converter (DAC) can produce when converting a digital signal into an analog output.

It is a specification that determines how finely a DAC can divide the range of analog output values it generates. This directly impacts the fidelity and quality of the resulting analog signal. The resolution of a DAC is typically measured in bits, with each additional bit doubling the number of discrete analog output levels the DAC can produce.

Understanding DAC Resolution

  • Bit Depth: The resolution of a DAC is expressed in bits. For example, an 8-bit DAC can produce 28, or 256, distinct output levels. Similarly, a 16-bit DAC can produce 216, or 65,536, discrete levels. The higher the bit depth, the more precise the conversion. The picture below shows the output of two DACs with different resolutions. The higher value (16-bit) produces a smoother sinusoidal curve relative to the lower value (3-bit)
  • Analog Output Levels: The total number of distinct output levels a DAC can produce is calculated as 2n, where n is the number of bits. Each level corresponds to a specific voltage (or current) level on the DAC’s output.
  • Impact on Signal Quality: Higher resolution DACs can produce a signal that more accurately represents the original digital input, leading to higher fidelity in audio applications, smoother gradients in visual displays, and more precise control in industrial applications.
  • Quantization Error: The resolution also affects the quantization error, which is the difference between the actual analog value and the nearest representable digital value. Higher resolution DACs have lower quantization errors, resulting in a more accurate representation of the original signal.

Applications and Implications

  • Audio: In audio applications, DAC resolution affects the sound quality. CD quality audio uses 16-bit DACs, while professional audio applications might use 24-bit or higher to ensure greater detail and dynamic range.
  • Video and Graphics: High-resolution DACs are used in video applications to ensure that colors and gradients are smoothly represented, without banding or other artifacts.
  • Instrumentation and Control Systems: Precise DACs are crucial in scientific instruments and industrial control systems, where accurate signal generation is necessary for controlling processes or measuring physical phenomena.
  • Communications: In telecommunications, DACs are used to convert digital signals into analog waveforms for transmission over analog media. The resolution affects the quality and bandwidth of the transmitted signal.

DAC resolution determines how accurately a digital signal can be converted into an analog form. Higher resolution DACs provide finer granularity in the output signal, leading to improved quality and fidelity in various applications, from audio and video to scientific instrumentation and telecommunications.

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