Feel free to download a hyperfocal distance chart for medium format, full-frame, APS-C, and Micro Four Thirds. By using the correct hyperfocal distance, you can ensure your photos are sharp from foreground to background.
If you are new to this topic – learn more here
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Why all Hyperfocal Distance Charts are Wrong
All hyperfocal distance charts, including mine, are based on a concept called the circle of confusion. Basically, the circle of confusion is a measure of how sharp is sharp enough. Yet, “sharp enough” is a relative term and depends on your equipment and intent.
Circle of Confusion
The circle of confusion is based on how sharp your photo must be to look acceptable under a certain level of scrutiny.
For example, if you were to print a 30×20 inch photo that would be viewed from 2 feet, the photo must be very sharp indeed. Therefore, the circle of confusion is smaller.
On the other hand, a 6×4 inch print viewed from 10 feet does not have to be sharp at all since the detail in the photo is obscured by viewing distance. Thus, the circle of confusion can be larger.
Zeiss Standard
My distance charts are based on the more demanding ‘Zeiss’ standard. Therefore, the hyperfocal distances are more distant, but your photos will appear sharper as a result.
I prefer the Zeiss standard for two reasons. First of all, the Zeiss standard is more compatible with today’s hyper-resolution imaging sensors. Secondly, it’s better to have sharper photos just in case you crop your photos or print big at some point in the future.
However, if you are presenting your photos in small-form (email, social media, small prints), you can afford to shave a few meters off the distances presented in the charts.
Medium Format Hyperfocal Distance Chart
Applicable to Fujifilm GFX, Hasselblad X system, and Pentax Z.
Full Frame Hyperfocal Distances
APS-C Hyperfocal Distances
Micro Four Thirds Hyperfocal Distance Chart
Apps
If you don’t fancy carrying bits of paper in your camera bag, you could try an App. For example, I use the Hyperfocal Pro. However, it’s worth committing some of your most-used distances to memory – if you can 🙂