blast was renamed to sblast to avoid conflict with blast+ namespace. The new sblast repository is here. This repository will be archived
You need pactl
, parec
and ffmpeg
executables/dependencies on your system to run Blast.
If you have all that then you can launch blast
and it looks like this when you run it:
[user@user blast]$ ./blast
----------
DLNA receivers
0: Kitchen
1: Phone
2: Bedroom
3: Livingroom TV
----------
Select the DLNA device:
[1]
----------
Audio sources
0: alsa_output.pci-0000_00_1b.0.analog-stereo.monitor
1: alsa_input.pci-0000_00_1b.0.analog-stereo
2: bluez_output.D8_AA_59_95_96_B7.1.monitor
3: blast.monitor
----------
Select the audio source:
[2]
----------
Your LAN ip addresses
0: 192.168.1.14
1: 192.168.122.1
2: 2a04:ec00:b9ab:555:3c50:e6e8:8ea:211f
3: 2a04:ec00:b9ab:555:806d:800b:1138:8b1b
4: fe80::f4c2:c827:a865:35e5
----------
Select the lan IP address for the stream:
[0]
----------
2023/07/08 23:53:07 starting the stream on port 9000 (configure your firewall if necessary)
2023/07/10 23:53:07 stream URI: http://192.168.1.14:9000/stream.mp3
2023/07/08 23:53:07 setting av1transport URI and playing
There are also -debug
and -headers
flags if you want to inspect your DLNA device. Also, -log
to inspect what parec and ffmpeg are doing.
[ugjka@ugjka blast]$ blast -h
Usage of blast:
-bitrate int
audio format bitrate (default 320)
-bits int
audio bitdepth (default 16)
-channels int
audio channels (default 2)
-chunk int
chunk size in seconds (default 1)
-debug
print debug info
-device string
dlna device's friendly name
-dummy
only serve content
-format string
stream audio format (default "mp3")
-headers
print request headers
-ip string
host ip address
-log
log parec and ffmpeg stderr
-mime string
stream mime type (default "audio/mpeg")
-nochunked
disable chunked tranfer endcoding
-port int
stream port (default 9000)
-rate int
audio sample rate (default 44100)
-source string
audio source (pactl list sources short | cut -f2)
-useaac
use aac audio
-useflac
use flac audio
-uselpcm
use lpcm audio
-uselpcmle
use lpcm little-endian audio
-usewav
use wav audio
-version
show blast version
blast.monitor
as a source, you can send apps' audio to it (in pavucotrol or whatever applet you use) without streaming entire the desktop audioIf none of the built-in codecs presets satisfy you, you can specify your own with -mime
and -format
. For example: -mime audio/ac3 -format ac3
, -mime audio/opus -format opus
, -mime "audio/x-caf" -format caf
or -mime "audio/mpeg" -format mp2
You can change audio features with -rate
, -bits
and -channels
, e.g. blast -rate 48000 -bits 24 -channels 1
You need the go
and go-tools
toolchain, also git
then execute:
git clone https://github.com/ugjka/blast
cd blast
go build
now you can run blast with:
[user@user blast]$ ./blast
Prebuilt Linux binaries are available on the releases page
This is for pipewire-pulse users.
-port
flagWhat on earth is "x-rincon-mp3radio"
MIT+NoAI License
Copyright (c) 2023 ugjka <ugjka@proton.me>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights/
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
This code may not be used to train artificial intelligence computer models
or retrieved by artificial intelligence software or hardware.