Command line tool to convert camera RAW files to Digital Negative Format (DNG).
It is currently in alpha state, so don't expect a polished and bugfree application. Please report bugs in our issue tracker.
Rawler crate is now published to crates.io, but please notice that the API is not yet stable and thus rawler is not following SemVer.
There are pre-built binary packages for each release which can be downloaded from
the asset section under latest release.
The .deb packages are for Debian based systems (amd64 and arm64), which can be installed
with dpkg -i dnglab_x.x.x_amd64.deb. For non-Debian systems, you can use the single-binary file,
for example ./dnglab_linux_x64 convert IMG_1234.CR2 IMG_1234.dng.
Windows is not officially supported, but the release assets contains a dnglab-win-x64_vx.x.x.zip file with pre-built Windows binary. Please be aware that this build is untested.
Dnglab is written in Rust, so you can compile it by your own on your target machine. You need the Rust toolchain installed on your machine, see https://rustup.rs/ for that. Once the toolchain is installed, you can simply compile Dnglab with:
git clone https://github.com/dnglab/dnglab.git
cd dnglab
cargo build --release
The dnglab binary is found at ./target/release/dnglab.
Convert a single file:
dnglab convert IMG_1234.CR3 IMG_1234.DNG
Convert whole directory:
dnglab convert ~/DCIM/100EOS ~/filmrolls/photos-france
For a list of supported cameras please see SUPPORTED_CAMERAS.md.
| Manufacturer | Format | Supported | Remarks |
|---|---|---|---|
| ARRI | ARI | ✅ Yes | |
| Canon | CR3 | ✅ Yes | CR3_STATE.md |
| Canon | CR2 | ✅ Yes | |
| Canon | CRW | ✅ Yes | |
| Epson | ERF | ✅ Yes | |
| Fujifilm | RAF | ✅ Yes | |
| Hasselblad | 3FR | ✅ Yes | |
| Kodak | KDC | ✅ Yes | |
| Kodak | DCS | ✅ Yes | |
| Kodak | DCR | ✅ Yes | |
| Leaf | IIQ | ✅ Yes | |
| Leaf | MOS | ✅ Yes | |
| Mamiya | MEF | ✅ Yes | |
| Minolta | MRW | ✅ Yes | |
| Nikon | NEF | ✅ Yes | |
| Nikon | NRW | ✅ Yes | |
| Olympus | ORF | ✅ Yes | |
| Panasonic/Leica | RW2 | ✅ Yes | |
| Pentax/Ricoh | PEF | ✅ Yes | |
| Phase One | IIQ | ✅ Yes | |
| Samsung | SRW | ✅ Yes | |
| Sony | ARW | ✅ Yes | |
| Sony | SRF | ✅ Yes | |
| Sony | SR2 | ✅ Yes |
- DNG lossless compression (LJPEG-92)
dnglab-convert
Convert raw image(s) into dng format
USAGE:
dnglab convert [OPTIONS] <INPUT> <OUTPUT>
ARGS:
<INPUT> Input file or directory
<OUTPUT> Output file or existing directory
OPTIONS:
--artist <artist>
Set the artist tag
-c, --compression <compression>
Compression for raw image [default: lossless] [possible values: lossless, none]
--crop <crop>
DNG default crop [default: best] [possible values: best, activearea, none]
-d
turns on debugging mode
--dng-preview <preview>
DNG include preview image [default: true]
--dng-thumbnail <thumbnail>
DNG include thumbnail image [default: true]
--embed-raw <embedded>
Embed the raw file into DNG [default: true]
-f, --override
Override existing files
-h, --help
Print help information
--image-index <index>
Select a specific image index (or 'all') if file is a image container [default: 0]
--ljpeg92-predictor <predictor>
LJPEG-92 predictor [default: 1] [possible values: 1, 2, 3, 4, 5, 6, 7]
-r, --recursive
Process input directory recursive
-v
Print more messages
dnglab-analyze
Analyze raw image
USAGE:
dnglab analyze [OPTIONS] <FILE>
ARGS:
<FILE> Input file
OPTIONS:
-d turns on debugging mode
--full-pixel Write uncompressed full pixel data to STDOUT
-h, --help Print help information
--json Format metadata as JSON
--meta Write metadata to STDOUT
--preview-checksum Write MD5 checksum of preview pixels to STDOUT
--preview-pixel Write uncompressed preview pixel data to STDOUT
--raw-checksum Write MD5 checksum of raw pixels to STDOUT
--raw-pixel
--srgb Write sRGB 16-bit TIFF to STDOUT
--structure Write file structure to STDOUT
--summary Write summary information for file to STDOUT
--thumbnail-checksum Write MD5 checksum of thumbnail pixels to STDOUT
--thumbnail-pixel Write uncompressed preview pixel data to STDOUT
-v Print more messages
--yaml Format metadata as YAML
With analyze, you can get a full dump of the internal file structure as YAML or JSON. With JSON output, it's possible to filter and transform the data with jq. For example, to get the cfa_layout from the CMP1 box for CR3 files, you can write:
find /cr3samples/ -type f -name "*.CR3" -exec dnglab analyze --structure '{}' --json \; | \
jq ". | { file: .file.fileName, cfa_layout: .format.cr3.moov.trak[1].mdia.minf.stbl.stsd.craw.cmp1.cfa_layout}"
The output is:
{
"file": "Canon EOS 90D_CRAW_ISO_250_nocrop_nodual.CR3",
"cfa_layout": 1
}
{
"file": "Canon EOS 90D_CRAW_ISO_100_nocrop_nodual.CR3",
"cfa_layout": 1
}dnglab-extract
Extract embedded original Raw from DNG
USAGE:
dnglab extract [OPTIONS] <FILE> <INPUT> <OUTPUT>
ARGS:
<FILE> Input file
<INPUT> Input file or directory
<OUTPUT> Output file or existing directory
OPTIONS:
-d turns on debugging mode
-f, --override Override existing files
-h, --help Print help information
-r, --recursive Process input directory recursive
--skipchecks Skip integrity checks
-v Print more messages
Lowlevel command to make a DNG file
Usage: dnglab makedng [OPTIONS] --input <INPUT>...
Options:
-d...
turns on debugging mode
-o, --output <OUTPUT>
Output DNG file path
-i, --input <INPUT>...
Input files to merge into a single DNG file. Usually only a single input file is used.
If multiple input files are given, --map should be used to specifiy how to interpret each intput file.
-v
Print more messages
--map <map>...
When multiple input files given, each input file should be mapped to a specific type of data.
First input file starts with index 0. Possible types are 'raw', 'preview', 'thumbnail', 'exif', 'xmp'.
Input files which are not mapped are ignored.
[default: 0:raw 0:preview 0:thumbnail 0:exif 0:xmp]
--dng-backward-version <version>
DNG specification version
[default: 1.4]
[possible values: 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6]
--colorimetric-reference <reference>
Reference for XYZ values
[default: scene]
[possible values: scene, output]
--unique-camera-model <id>
Unique camera model
--artist <artist>
Set the Artist tag
--make <make>
Set the Make tag
--model <model>
Set the Model tag
--matrix1 <MATRIX>
Matrix 1
[possible values: XYZ_sRGB_D50, XYZ_sRGB_D65, XYZ_AdobeRGB_D50, XYZ_AdobeRGB_D65, "custom 3x3 matrix (comma seperated)"]
--matrix2 <MATRIX>
Matrix 2
[possible values: XYZ_sRGB_D50, XYZ_sRGB_D65, XYZ_AdobeRGB_D50, XYZ_AdobeRGB_D65, "custom 3x3 matrix (comma seperated)"]
--matrix3 <MATRIX>
Matrix 3
[possible values: XYZ_sRGB_D50, XYZ_sRGB_D65, XYZ_AdobeRGB_D50, XYZ_AdobeRGB_D65, "custom 3x3 matrix (comma seperated)"]
--illuminant1 <ILLUMINANT>
Illuminant 1
[possible values: Unknown, A, B, C, D50, D55, D65, D75]
--illuminant2 <ILLUMINANT>
Illuminant 2
[possible values: Unknown, A, B, C, D50, D55, D65, D75]
--illuminant3 <ILLUMINANT>
Illuminant 3
[possible values: Unknown, A, B, C, D50, D55, D65, D75]
--linearization <TABLE>
Linearization table
[possible values: 8bit_sRGB, 8bit_sRGB_invert, 16bit_sRGB, 16bit_sRGB_invert, 8bit_gamma1.8, 8bit_gamma1.8_invert, 8bit_gamma2.0, 8bit_gamma2.0_invert, 8bit_gamma2.2, 8bit_gamma2.2_invert, 8bit_gamma2.4, 8bit_gamma2.4_invert, 16bit_gamma1.8, 16bit_gamma1.8_invert, 16bit_gamma2.0, 16bit_gamma2.0_invert, 16bit_gamma2.2, 16bit_gamma2.2_invert, 16bit_gamma2.4, 16bit_gamma2.4_invert, "custom table (comma seperated)"]
--wb <R,G,B>
Whitebalance as-shot
--white-xy <x,y>
Whitebalance as-shot encoded as xy chromaticity coordinates
[possible values: D50, D65, "custom x,y value (comma seperated)"]
-f, --override
Override existing files
-h, --help
Print help (see a summary with '-h')
Please see our guide: CONTRIBUTE_SAMPLES.md.
The DNG converter from Adobe is free (at cost), but not free in terms of free software. Nobody can add or fix camera support except of Adobe. And it has no support for Linux. That's why I've started writing my own little DNG swiss army knife.
Never ask. If you need DNG you will know.
Well, depends on developer resources.
Yes, DNGLab should get a GUI in near future.
I don't have any sponsoring or donation account like Patreon or Paypal. If you want to surprise me, please have a look at my Amazon wish list.
Special thanks goes to:
- Darktable developer team www.darktable.org
- Laurent Clévy CR3 documentation
- Kostya Shishkov
- Hubert Kowalski
- Rawloader development team rawloader
- All volunteers who have contributed samples.
Without the support and engagement from these people the development of dnglab would not have been possible.