• RawDigger allows determination of how the exposure meter is calibrated and what raw level corresponds to the midpoint of in-camera histogram. That is, RawDigger lets you establish the headroom in highlights and obtain optimal exposures.
• RawDigger helps determine the raw level at which the overexposure "blinkies" start on the camera LCD, and it helps know how much headroom is still available after the blinkies start showing or the histogram hits the wall.
• If the shadows look blotchy or colorless, or details in the shadows are poorly resolved, you will be able to determine how much they are underexposed and set the Underexposure (UE) indicator in RawDigger accordingly.
• RawDigger is a useful tool for examining how the relative per-channel underexposure depends on the color of light.
• RawDigger is more precise than any exposure meter for the purpose of evaluation of the uniformity of fill light and reproduction light setups (in terms of the evenness of both color balance and luminosity across the background).

• Investigate what conditions cause an unacceptable level of noise in shadows.
• Estimate the level of noise that is introduced by the converter, compared to natural noise coming from the camera sensor.
• Compare the noise between two cameras of the same make and model.

Check you camera behavior and settings:

• Check which camera settings affect RAW data
• Determine the dynamic range of the camera
• Check if intermediate ISO settings are worth using, and when, if so
• Example for Sony A7R II
• Example for Nikon D810
• Determine if the base ISO settings ensure the lowest possible level of noise
• Determine at which ISO settings the camera switches from pure analog implementation to combined analog+digital
• Determine how the camera's dynamic range changes with the change of ISO settings
• Determine the if there are any non-linearities (caused by implementation, flare and glare, or wrong black level settings) in the RAW data
• Evaluate the accuracy, repeatability, and uniformity of a range of shutter speeds
• Evaluate the accuracy, repeatability, and uniformity of a range of aperture
• Tune a new camera in such a manner so that the customary exposure metering and setting technique can be used with the new camera

• Retrieve data necessary for camera color profile calculation

• Check the amount of vignetting caused by the lens and the sensor
• Determine the actual T-stop of a lens

• RawDigger helps determine the idiosyncrasies of both the camera and the raw convertor by providing a true look into the raw data and comparing it to the results obtained through raw conversion

• RawDigger makes it very simple to compare the raw histogram to the in-camera histogram and account for the difference, making the exposure as much "to the right" as possible

• Compare the noise level in the shadows between «normal» exposure and ETTR exposure, check when ETTR is applicable for a particular camera (for example, if the image will benefit from ETTR for all ISO settings)

• RawDigger helps establishing the proper light filtration to achieve the cleanest possible shadows on the shots

For polarizing, neutral density, color correction and color compensation filters:

• Determine the effect of filters on the lens
• Check the neutrality of polarizing and neutral density filters and, possibly, to select color correction and color compensation filters to use in different light

• Establishing the proper light filtration to achieve the cleanest possible shadows on the shots
• Determine the effect of filters on the lens
• Check the neutrality of polarizing and neutral density filters and, possibly, to select color correction and color compensation filters to use in different light

Please see General Photography section here above

• RawDigger is capable of saving unprocessed RAW files as TIFFs (including per-channel)
• This allows for further analysis using ImageJ, Matlab, etc. It is also possible to further process such TIFFs in image editing applications like Photoshop, including normal post-processing.
• In that case, the camera color profile needs to be assigned in the image image editing application.

• Compare the data obtained from the particular camera compared to the average and/or standard values
• Check the imaging path for inconsistencies
• Check the sensor for defects such as dead, stuck, or hot pixels
• Check if there are zones on the sensor affected by thermal noise resulting from overheating of the battery or other electronic elements
• Check if there is any excessive flare and glare caused by the rear element of the lens or reflections and scattering from the camera (mirror) chamber or any light leaks through the viewfinder or lens mount

• Study of the white (fully over-exposed) and black frames to check the pixel variation
• Calculating well depth
• Visualize sensor stitches
• Check the black level
• Determining the geometry and analyzing the optically black frame
• Check the accuracy of the histogram in RAW converters
• Determine the amount of vignetting from the lens and from the sensor (digital vignetting), check for any skews in the lens mount and/or sensor mount
• Dark Current
• DSNU (Dark Signal Non-Uniformity)
• PRNU (Photo Response Non-Uniformity)