Crates.io | mkvdump |
lib.rs | mkvdump |
version | 0.6.0 |
source | src |
created_at | 2022-08-17 15:21:00.86379 |
updated_at | 2023-05-24 16:50:57.225871 |
description | MKV and WebM parser CLI tool |
homepage | |
repository | https://github.com/cadubentzen/mkvdump |
max_upload_size | |
id | 647518 |
size | 61,983 |
A command-line tool for debugging Matroska/WebM files. It displays all internal elements of a Matroska file as JSON or YAML.
- id: EBML
header_size: 5
size: 36
children:
- id: EBMLVersion
header_size: 3
size: 4
value: 1
- id: EBMLReadVersion
header_size: 3
size: 4
value: 1
- id: EBMLMaxIDLength
header_size: 3
size: 4
value: 4
- id: EBMLMaxSizeLength
header_size: 3
size: 4
value: 8
- id: DocType
header_size: 3
size: 7
value: webm
- id: DocTypeVersion
header_size: 3
size: 4
value: 2
- id: DocTypeReadVersion
header_size: 3
size: 4
value: 2
- id: Segment
header_size: 12
size: Unknown
children:
- id: Void
header_size: 9
size: 229
value: null
- id: Info
header_size: 5
size: 44
children:
- id: TimestampScale
header_size: 4
size: 7
value: 1000000
- id: MuxingApp
header_size: 3
size: 16
value: Lavf58.29.100
- id: WritingApp
header_size: 3
size: 16
value: Lavf58.29.100
- id: Tracks
header_size: 5
size: 101
children:
- id: TrackEntry
header_size: 9
size: 96
children:
- id: TrackNumber
header_size: 2
size: 3
value: 1
- id: TrackUID
header_size: 3
size: 4
value: 1
- id: FlagLacing
header_size: 2
size: 3
value: 0
- id: Language
header_size: 4
size: 7
value: und
- id: CodecID
header_size: 2
size: 7
value: V_AV1
- id: TrackType
header_size: 2
size: 3
value: video
- id: DefaultDuration
header_size: 4
size: 8
value: 41708333
- id: Video
header_size: 9
size: 32
children:
- id: PixelWidth
header_size: 2
size: 4
value: 1280
- id: PixelHeight
header_size: 2
size: 4
value: 720
- id: Colour
header_size: 3
size: 15
children:
- id: Range
header_size: 3
size: 4
value: broadcast range
- id: ChromaSitingHorz
header_size: 3
size: 4
value: left collocated
- id: ChromaSitingVert
header_size: 3
size: 4
value: half
- id: CodecPrivate
header_size: 3
size: 20
value: '[81 05 0c 00 0a 0b 00 00 00 2d 4c ff b3 df ff 98 04]'
- id: Tags
header_size: 5
size: 61
children:
- id: Tag
header_size: 10
size: 56
children:
- id: Targets
header_size: 10
size: 10
children: []
- id: SimpleTag
header_size: 10
size: 36
children:
- id: TagName
header_size: 3
size: 10
value: ENCODER
- id: TagString
header_size: 3
size: 16
value: Lavf58.29.100
- id: Cluster
header_size: 6
size: 2679
children:
- id: Timestamp
header_size: 2
size: 3
value: 0
- id: SimpleBlock
header_size: 2
size: 45
value:
track_number: 1
timestamp: 0
keyframe: true
- id: SimpleBlock
header_size: 2
size: 59
value:
track_number: 1
timestamp: 42
- id: SimpleBlock
header_size: 2
size: 32
value:
track_number: 1
timestamp: 83
# ...
This tool is similar to mp4dump, but for Matroska files. It may be useful for:
Ubuntu users (>= 20.04) can install mkvdump via the DEB package available in the releases page.
Linux and macOS users on x86_64 devices can install mkvdump via the Homebrew tap:
$ brew install cadubentzen/mkvdump/mkvdump
macOS users on M1 or M2 devices need to use
$ brew install --build-from-source cadubentzen/mkvdump/mkvdump
If you have cargo-binstall installed, you can install mkvdump with
$ cargo binstall mkvdump
Else, you can install by building it from source with:
$ cargo install mkvdump
To pull latest mkvdump from Docker Hub:
$ docker pull cadubentzen/mkvdump
A GitHub package is also available via
$ docker pull ghcr.io/cadubentzen/mkvdump
Images are multi-arch with support for linux/amd64
, linux/386
, linux/arm64
, linux/arm/v7
and linux/arm/v6
.
Asssuming a Mastroska file in the host located at /host-path/sample.mkv
. You can run mkvdump on it with the following command, by mounting a volume:
$ docker run -v /host-path:/media cadubentzen/mkvdump /media/sample.mkv
Download prebuilt binaries from the release page. There are binaries for the following targets:
x86_64
, x86
, aarch64
, armv7l
and armv6l
x86_64
and x86
(built on Ubuntu 20.04)x86_64
and aarch64
(>= macOS 11 Big Sur)x86_64
and x86
with MSVC and MinGW© 2022 Carlos Bentzen cadubentzen@gmail.com.
This project is licensed under either of
at your option.
The SPDX license identifier for this project is MIT OR Apache-2.0
.