Export Signal conversations to Markdown and HTML
Project description
signal-export
Export chats from the Signal Desktop app to Markdown and HTML files with attachments. Each chat is exported as an individual .md/.html file and the attachments for each are stored in a separate folder. Attachments are linked from the Markdown files and displayed in the HTML (pictures, videos, voice notes).
Currently this seems to be the only way to get chat history out of Signal!
Adapted from mattsta/signal-backup, which I suspect will be hard to get working now.
Example
An export for a group conversation looks as follows:
[2019-05-29, 15:04] Me: How is everyone?
[2019-05-29, 15:10] Aya: We're great!
[2019-05-29, 15:20] Jim: I'm not.
Images are attached inline with ![name](path)
while other attachments (voice notes, videos, documents) are included as links like [name](path)
so a click will take you to the file.
This is converted to HTML at the end so it can be opened with any web browser. The stylesheet .css
is still very basic but I'll get to it sooner or later.
🪟 Installation: Windows
If you need step-by-step instructions on things like enabling WSL2, please see the dedicated Windows Installation instructions.
In order to use this tool, you'll need to install WSL2, Docker and Python. The steps to do this are below. (NB: Improvements to these instructions are welcome.)
- Enable Windows WSL2 feature
- Install Docker Desktop with the WSL2 backend
- Install Python 3.12 via Windows Store
- In a PowerShell terminal, run
pip install signal-export
- Run the script like this (you can enter any directory, it will be created)
sigexport C:\Temp\SignalExport
Run it without any arguments to get instructions about other options
sigexport
NB You may get an error like term 'sigexport' is not recognized
, in which case you can use the following:
python -m sigexport.main ~/signal-chats
🐧 Installation: Linux
-
Install Docker (including following the post-installation steps for managing Docker as a non-root user).
-
Make sure you have Python installed.
-
Install this package:
pip install signal-export
- Then run the script! It will do some Docker stuff under the hood to get your data out of the encrypted database.
sigexport ~/signal-chats
# output will be saved to the supplied directory
Linux without Docker
- Install the required libraries.
sudo apt install libsqlite3-dev tclsh libssl-dev
- Then clone sqlcipher and install it:
git clone https://github.com/sqlcipher/sqlcipher.git
cd sqlcipher
./configure --enable-tempstore=yes CFLAGS="-DSQLITE_HAS_CODEC" LDFLAGS="-lcrypto -lsqlite3"
make && sudo make install
- Then you can install and run signal-export without Docker:
pip install 'signal-export[sql]'
sigexport --no-use-docker ...
🍏 Installation: macOS
To use it with Docker, just follow the standard Linux instructions above.
macOS without Docker
- Install Homebrew.
- Run
brew install openssl sqlcipher
- Export some needed env vars:
export C_INCLUDE_PATH="$(brew --prefix sqlcipher)/include"
export LIBRARY_PATH="${brew --prefix sqlcipher)/lib"
- Then you can install and run signal-export without Docker:
pip install 'signal-export[sql]'
sigexport --no-use-docker ...
🚀 Usage
Please fully exit your Signal app before proceeding, otherwise you will likely encounter an I/O disk
error, due to the message database being made read-only, as it was being accessed by the app.
See the full help info:
sigexport --help
Disable pagination on HTML, and overwrite anything at the destination:
sigexport --paginate=0 --overwrite ~/signal-chats
List available chats and exit:
sigexport --list-chats
Export only the selected chats:
sigexport --chats=Jim,Aya ~/signal-chats
You can add --source /path/to/source/dir/
if the script doesn't manage to find the Signal config location.
Default locations per OS are below.
The directory should contain a folder called sql
with db.sqlite
inside it.
- Linux:
~/.config/Signal/
- macOS:
~/Library/Application Support/Signal/
- Windows:
~/AppData/Roaming/Signal/
You can also use --old /previously/exported/dir/
to merge the new export with a previous one.
Nothing will be overwritten!
It will put the combined results in whatever output directory you specified and leave your previos export untouched.
Exercise is left to the reader to verify that all went well before deleting the previous one.
🗻 No-Python install
I don't recommend this, and you will have issues with file-ownership and other stuff. You can also run the Docker image directly, it just requires copy-pasting a much-longer command and being careful with volume mounts.
First set the appropriate environment variables for your OS:
# Only enter one of these!
SIGNAL_INPUT="$HOME/.config/Signal" # Linux
SIGNAL_INPUT="$HOME/snap/signal-desktop/current/.config/Signal" # Snap
SIGNAL_INPUT="$HOME/Library/Application Support/Signal" # macOS
SIGNAL_INPUT="$HOME/AppData/Roaming/Signal" # Powershell
# And your output location (must be an absolute path)
SIGNAL_OUTPUT="$HOME/Downloads/signal-output"
Then run the below command, which pulls in the environment variables you set above.
# Note that the --overwrite flag is necessary when running like this
# careful where you point it!
docker run --rm \
--net none \
-v "$SIGNAL_INPUT:/Signal:ro" \
-v "$SIGNAL_OUTPUT:/output" \
carderne/sigexport:latest \
--overwrite /output \ # this line is obligatory!
--chats Jim # this line isn't
Then you should be able to use the Usage instructions as above.
Development
git clone https://github.com/carderne/signal-export.git
cd signal-export
rye sync --no-lock
Various dev commands:
rye fmt # format
rye lint # lint
rye run check # typecheck
rye run test # test
rye run sig # run signal-export
Similar things
- signal-backup-decode might be easier if you use Android!
- signal2html also Android only
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for signal_export-2.3.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e3e3dd2decb07af52af271a72e0919ca7bef63d91af9947fbf262edcdcd9b1d0 |
|
MD5 | 831ebfc9ab4319b31f6918f288357f3a |
|
BLAKE2b-256 | 99dde2b1bb0b5bc9f68a8f34546f9c68aa15f3c0dff07b0259e8dfc1d6ea288c |