Convert (animated) stickers to/from WhatsApp, Telegram, Signal, Line, Kakao, iMessage. Written in Python.
Project description
sticker-convert
- A python script for creating, downloading, converting+compressing and uploading stickers from multiple instant messaging applications.
- With GUI and CLI that runs on Windows, MacOS and Linux
- Currently supports Signal, Telegram, WhatsApp (Create .wastickers), Line (Download only), Kakao (Download only), iMessage (Create Xcode sticker pack project)
- Supports static and animated stickers, with transparency support
Downloads
- Pre-compiled releases for Windows, MacOS and Linux (As AppImage).
- Windows: Unzip the downloaded file and run
sticker-convert.exe
- MacOS: Unzip the downloaded file, hold control and open
hold_control_and_click_open_me.command
for the first time, thensticker-convert.app
in the future - Linux:
chmod +x
the downloaded AppImage and run it
- Windows: Unzip the downloaded file and run
- pip package:
pip install sticker-convert
. Launch withsticker-convert
orpython -m sticker_convert
- Docker image for running on Linux.
- Try in Google Colab without downloading (Requires Google account), which runs the code on Google server and get the result from Google Drive. However, it maybe slower than running on your computer. (~15 seconds per file if not converting to .apng, ~1 minute per file if you convert to .apng)
Table of contents
- Compatibility
- How to use (GUI)
- How to use (CLI)
- How to use (Docker)
- Running python script directly & Compiling
- FAQ
- Future plans
- Credits
- DISCLAIMER
Compatibility
Application | ⬇️ Download | ⬆️ Upload |
---|---|---|
Signal | ✅ | ✅ (Require uuid & password or manually) |
Telegram | ✅ (Require token ) |
✅ (Require token & user_id or manually) |
⭕ (By Android or WhatsApp Web) | ⭕ (Create .wastickers , import by Sticker Maker) |
|
Line | ✅ | 🚫 (Need to submit for manual approval) |
Kakao | ✅ (Need 'share link' for animated) | 🚫 (Need to submit for manual approval) |
iMessage | 🚫 | ⭕ (Create Xcode stickerpack project for sideload) |
✅ = Supported ⭕ = Partially supported 🚫 = Not supported
- Signal
- Download: Supported. (e.g.
https://signal.art/addstickers/#pack_id=xxxxx&pack_key=xxxxx
) - Upload: Supported
uuid
andpassword
are needed if you want to automatically upload the pack with the program. View FAQ for more information.- Alternatively, you may use Signal Desktop to manually upload and create sticker pack with the output of this prorgam.
- Download: Supported. (e.g.
- Telegram (e.g.
https://telegram.me/addstickers/xxxxx
)- Download: Supported, but require bot token
- Upload: Supported, but require bot token and user_id. Alternatively, you may manually upload and create sticker pack with the output of this program.
- WhatsApp
- Download: You have to manually find sticker packs / extract from your phone or from WhatsApp Web
- Android Phone: Inside
/storage/emulated/0/Whatsapp/media/Whatsapp Stickers
OR/storage/emulated/0/Android/media/com.whatsapp/WhatsApp/Media/WhatsApp Stickers
- Any: Go to WhatsApp Web, right click on sticker and click "Save image as..."
- Android Phone: Inside
- Upload: The program can create .wastickers file, which could then be imported into WhatsApp via a third-party app named 'Sticker Maker' (The author of this repo is NOT affiliated with Sticker Maker). View FAQ for more information
- Download: You have to manually find sticker packs / extract from your phone or from WhatsApp Web
- Line
- Download: Supported (e.g.
https://store.line.me/stickershop/product/1234/en
ORline://shop/detail/1234
OR1234
)- Search on official site: https://store.line.me/stickershop
- Search on non-official site (Include region locked and expired packs): http://www.line-stickers.com/
- For more information: https://github.com/doubleplusc/Line-sticker-downloader
- Upload: Not supported. You need to manually submit sticker pack for approval before you can use in app.
- Download: Supported (e.g.
- Kakao
- Download: Supported (e.g.
https://e.kakao.com/t/xxxxx
ORkakaotalk://store/emoticon/4404400
ORhttps://emoticon.kakao.com/items/xxxxx
OR4404400
). It is rather complicated, learn more from docs/guide_kakao.md - Upload: Not supported. You need to manually submit sticker pack for approval before you can use in app.
- Download: Supported (e.g.
- iMessage
- Download: Not supported.
- Upload: The program can create Xcode project for iMessage sticker pack, which could then be compiled and sideloaded using Xcode.
How to use (GUI)
- Run
sticker-convert.exe
,sticker-convert.app
orpython3 src/sticker-convert.py
- Choose input source.
- If you are downloading, enter URL address if you want to download from (If applicable)
- If you are using local files, choose input directory. Defaults to a folder named 'stickers_input' in the same directory as the program. Put files you want to convert into that directory
- Choose compression options. If unsure, just choose a preset from the option menu.
- If you just want to download files, check 'No compression'
- Choose ouput options and output directory
- Enter title and author of the sticker pack.
- Enter credentials if you want to download/upload from telegram or upload from Signal (View 'Compatability' and 'FAQ' section for more information)
- Press 'Start'
How to use (CLI)
To run in CLI mode, pass on any arguments
usage: sticker-convert.py [-h] [--version] [--no-confirm] [--input-dir INPUT_DIR]
[--download-auto DOWNLOAD_AUTO | --download-signal DOWNLOAD_SIGNAL | --download-telegram DOWNLOAD_TELEGRAM | --download-line DOWNLOAD_LINE | --download-kakao DOWNLOAD_KAKAO]
[--output-dir OUTPUT_DIR] [--author AUTHOR] [--title TITLE]
[--export-signal | --export-telegram | --export-whatsapp | --export-imessage] [--no-compress]
[--preset {auto,signal,telegram,whatsapp,line,kakao,imessage_small,imessage_medium,imessage_large,custom}]
[--steps STEPS] [--processes PROCESSES] [--fps-min FPS_MIN] [--fps-max FPS_MAX] [--res-min RES_MIN]
[--res-max RES_MAX] [--res-w-min RES_W_MIN] [--res-w-max RES_W_MAX] [--res-h-min RES_H_MIN]
[--res-h-max RES_H_MAX] [--quality-min QUALITY_MIN] [--quality-max QUALITY_MAX] [--color-min COLOR_MIN]
[--color-max COLOR_MAX] [--duration-min DURATION_MIN] [--duration-max DURATION_MAX]
[--vid-size-max VID_SIZE_MAX] [--img-size-max IMG_SIZE_MAX] [--vid-format VID_FORMAT]
[--img-format IMG_FORMAT] [--fake-vid] [--scale-filter SCALE_FILTER] [--cache-dir CACHE_DIR]
[--default-emoji DEFAULT_EMOJI] [--signal-uuid SIGNAL_UUID] [--signal-password SIGNAL_PASSWORD]
[--signal-get-auth] [--telegram-token TELEGRAM_TOKEN] [--telegram-userid TELEGRAM_USERID]
[--kakao-auth-token KAKAO_AUTH_TOKEN] [--kakao-get-auth] [--kakao-username KAKAO_USERNAME]
[--kakao-password KAKAO_PASSWORD] [--kakao-country-code KAKAO_COUNTRY_CODE]
[--kakao-phone-number KAKAO_PHONE_NUMBER] [--line-get-auth] [--line-cookies LINE_COOKIES]
[--save-cred SAVE_CRED]
CLI for stickers-convert
options:
-h, --help show this help message and exit
--version show program's version number and exit
--no-confirm Do not ask any questions.
Input options:
--input-dir INPUT_DIR
Specify input directory.
--download-auto DOWNLOAD_AUTO
Auto detect URL type and download
(Supported input sources: Signal, Telegram, Line, Kakao)
--download-signal DOWNLOAD_SIGNAL
Download signal stickers from a URL as input
(Example: https://signal.art/addstickers/#pack_id=xxxxx&pack_key=xxxxx)
--download-telegram DOWNLOAD_TELEGRAM
Download telegram stickers from a URL as input
(Example: https://telegram.me/addstickers/xxxxx)
--download-line DOWNLOAD_LINE
Download line stickers from a URL / ID as input
(Example: https://store.line.me/stickershop/product/1234/en
OR https://line.me/S/sticker/1234/?lang=en OR line://shop/detail/1234 OR 1234)
--download-kakao DOWNLOAD_KAKAO
Download kakao stickers from a URL / ID as input
(Example: https://e.kakao.com/t/xxxxx OR kakaotalk://store/emoticon/4404400
OR https://emoticon.kakao.com/items/xxxxx OR 4404400)
Output options:
--output-dir OUTPUT_DIR
Specify output directory.
--author AUTHOR Set author of created sticker pack.
--title TITLE Set name of created sticker pack.
--export-signal Upload to Signal
--export-telegram Upload to Telegram
--export-whatsapp Create a .wastickers file for uploading to WhatsApp
--export-imessage Create Xcode project for importing to iMessage
Compression options:
--no-compress Do not compress files. Useful for only downloading stickers.
--preset {auto,signal,telegram,whatsapp,line,kakao,imessage_small,imessage_medium,imessage_large,custom}
Apply preset for compression.
--steps STEPS Set number of divisions between min and max settings.
Steps higher = Slower but yields file more closer to the specified file size limit.
--processes PROCESSES
Set number of processes. Default to half of logical processors in system.
Processes higher = Compress faster but consume more resources.
--fps-min FPS_MIN Set minimum output fps.
--fps-max FPS_MAX Set maximum output fps.
--res-min RES_MIN Set minimum width and height
--res-max RES_MAX Set maximum width and height
--res-w-min RES_W_MIN
Set minimum width.
--res-w-max RES_W_MAX
Set maximum width.
--res-h-min RES_H_MIN
Set minimum height.
--res-h-max RES_H_MAX
Set maximum height.
--quality-min QUALITY_MIN
Set minimum quality.
--quality-max QUALITY_MAX
Set maximum quality.
--color-min COLOR_MIN
Set minimum number of colors (For converting to apng and apng only).
--color-max COLOR_MAX
Set maximum number of colors (For converting to apng and apng only).
--duration-min DURATION_MIN
Set minimum output duration in miliseconds.
--duration-max DURATION_MAX
Set maximum output duration in miliseconds.
--vid-size-max VID_SIZE_MAX
Set maximum file size limit for animated stickers.
--img-size-max IMG_SIZE_MAX
Set maximum file size limit for static stickers.
--vid-format VID_FORMAT
Set file format if input is animated.
--img-format IMG_FORMAT
Set file format if input is static.
--fake-vid Convert (faking) image to video.
Useful if:
(1) Size limit for video is larger than image;
(2) Mix image and video into same pack.
--scale-filter SCALE_FILTER
Set scale filter. Default as lanczos. Valid options are:
- nearest = Use nearest neighbour (Suitable for pixel art)
- bilinear = linear interpolation
- bicubic = Cubic spline interpolation
- lanczos = A high-quality downsampling filter
--cache-dir CACHE_DIR
Set custom cache directory.
Useful for debugging, or speed up conversion if cache_dir is on RAM disk.
--default-emoji DEFAULT_EMOJI
Set the default emoji for uploading Signal and Telegram sticker packs.
Credentials options:
--signal-uuid SIGNAL_UUID
Set Signal uuid. Required for uploading Signal stickers.
--signal-password SIGNAL_PASSWORD
Set Signal password. Required for uploading Signal stickers.
--signal-get-auth Generate Signal uuid and password.
--telegram-token TELEGRAM_TOKEN
Set Telegram token. Required for uploading and downloading Telegram stickers.
--telegram-userid TELEGRAM_USERID
Set telegram user_id (From real account, not bot account). Required for uploading Telegram stickers.
--kakao-auth-token KAKAO_AUTH_TOKEN
Set Kakao auth_token. Required for downloading animated stickers from https://e.kakao.com/t/xxxxx
--kakao-get-auth Generate Kakao auth_token. Kakao username, password, country code and phone number are also required.
--kakao-username KAKAO_USERNAME
Set Kakao username, which is email or phone number used for signing up Kakao account
Example: +447700900142
Required for generating Kakao auth_token.
--kakao-password KAKAO_PASSWORD
Set Kakao password (Password of Kakao account).
Required for generating Kakao auth_token.
--kakao-country-code KAKAO_COUNTRY_CODE
Set Kakao country code of phone.
Example: 82 (For korea), 44 (For UK), 1 (For USA).
Required for generating Kakao auth_token.
--kakao-phone-number KAKAO_PHONE_NUMBER
Set Kakao phone number (Phone number associated with your Kakao account)
Do NOT enter country code
Example: 7700900142
Used for send / receive verification code via SMS.
Required for generating Kakao auth_token.
--line-get-auth Get Line cookies from browser, which is required to create custom message stickers.
--line-cookies LINE_COOKIES
Set Line cookies, which is required to create custom message stickers.
--save-cred SAVE_CRED
Save Signal and Telegram credentials.
If you are running python script directly, run with src/sticker-convert.py
If you installed by pip, run with sticker-convert
or python -m sticker_convert
If you are running macOS, run with sticker-convert.app/Contents/MacOS/sticker-convert-cli
Examples:
Only download from a source
sticker-convert --download-signal <url> --no-compress
Convert local files to signal compatible stickers
sticker-convert --input-dir ./custom-input --output-dir ./custom-output --preset signal
sticker-convert --preset signal
Convert signal to telegram stickers and upload to telegram
sticker-convert --download-signal <url> --export-telegram --telegram-token <your_bot_token_here> --telegram-userid <your_userid_here> --save-cred
Convert local files to multiple formats and export
sticker-convert --export-telegram --export-signal
Convert local files to a custom format
sticker-convert --fps-min 3 --fps-max 30 --quality-min 30 --quality-max 90 --res-min 512 --res-max 512 --steps 10 --vid-size-max 500000 --img-size-max 500000 --vid-format .apng --img-format .png
Tip: Use the CLI for converting multiple stickers all at once without intervention!
The following example converts two Line sticker packs into Signal, Telegram and WhatsApp all at once
sticker-convert --no-confirm --download-auto https://store.line.me/stickershop/product/1/en --export-signal
sticker-convert --no-confirm --export-telegram
sticker-convert --no-confirm --export-whatsapp
sticker-convert --no-confirm --download-line https://store.line.me/stickershop/product/2/en --preset signal --export-signal
sticker-convert --no-confirm --preset telegram --export-telegram
sticker-convert --no-confirm --preset whatsapp --export-whatsapp
Note that you can see the conversion result in export-result.txt
How to use (Docker)
Downloading
# Option 1: From Dockerhub
docker pull laggykiller/sticker-convert:latest
docker pull laggykiller/sticker-convert:latest-min-gui # No signal-desktop
docker pull laggykiller/sticker-convert:latest-min-cli # No signal-desktop, CLI only
# Option 2: From ghcr
docker pull ghcr.io/laggykiller/sticker-convert:latest
docker pull ghcr.io/laggykiller/sticker-convert:latest-min-gui # No signal-desktop
docker pull ghcr.io/laggykiller/sticker-convert:latest-min-cli # No signal-desktop, CLI only
Running (GUI)
docker run -d -it --name sticker-convert \
-v /path/to/your/stickers_input:/app/stickers_input \
-v /path/to/your/stickers_output:/app/stickers_output \
-p 5800:5800 \ # Port for Web UI
-p 5900:5900 \ # Optional for VNC
laggykiller/sticker-convert:latest
Running (CLI)
docker run -d -it --name sticker-convert \
-v /path/to/your/stickers_input:/app/stickers_input \
-v /path/to/your/stickers_output:/app/stickers_output \
laggykiller/sticker-convert:latest \
python3 /app/sticker-convert.py --help
Alternative: Use docker-compose.yml
docker compose up
Building
docker build --tag sticker-convert:latest --target full .
docker build --tag sticker-convert:latest-min-cli --target min-cli .
docker build --tag sticker-convert:latest-min-gui --target min-gui .
Note that the GUI version is based on https://github.com/jlesage/docker-baseimage-gui.
To open the GUI, go to localhost:5800
with browser on the machine running the docker image.
Alternatively, go to localhost:5900
with VNC viewer.
Running python script directly & Compiling
FAQ
Platform-specific guides (e.g. Getting credentials)
Conversion is slow
Try the following tips:
- Increase number of processes (
--processes
)- Increasing over default value can actually be slower though
- Decrease number of steps (
--steps
)- Decreasing too much can result in poor quality though
Running out of RAM / System frozen
Try to decrease number of processes (--processes
)
MacOS complains that program from unidentified developer
To become an identified developer, I have to pay USD$99 to Apple every year.
There are two ways to bypass this problem:
- Permanent: Open terminal and execute
sudo spctl --master-disable
before runningsticker-convert
. - Temporary: Open terminal and execute
xattr -d com.apple.quarantine ./Downloads/sticker-convert-macos.zip
before extracting the downloaded zip file.
If macOS still complains about individual binaries (e.g. apngasm), go to System Preferences > Security & Privacy
and press Open Anyway
for each file.
To learn more, read this page: https://disable-gatekeeper.github.io/
I want to upload stickers that are in stickers_output that have not been uploaded yet
CLI: Run with --no-compress --export-xxxxx
GUI: Select From local directory
for Input source, tick No compression
box and select Upload to xxxxx
for Output options
Where are credentials stored?
Credentials are stored in creds.json
By default, it should be in the same directory you run the program.
However, if the directory is not writable (e.g. Installed it to /Applications
in macOS, or /usr/local/bin
in Linux), then creds.json
is stored in...
- Windows:
%APPDATA%/sticker-convert/creds.json
- Other:
~/.config/sticker-convert/creds.json
Future plans
See docs/TODO.md
Credits
- Information about Signal and Telegram stickers: https://github.com/teynav/signalApngSticker
- Information about Line and Kakao stickers: https://github.com/star-39/moe-sticker-bot
- Information about Line stickers: https://github.com/doubleplusc/Line-sticker-downloader
- Information about Kakao animated stickers: https://gist.github.com/chitacan/9802668
- Downloading and decrypting Kakao animated stickers: https://github.com/blluv/KakaoTalkEmoticonDownloader
- Application icon taken from Icons8
DISCLAIMER
- The author of this repo is NOT affiliated with Signal, Telegram, WhatsApp, Line, Kakao or Sticker Maker.
- The author of this repo is NOT repsonsible for any legal consequences and loss incurred from using this repo.
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