Skip to content

Telegram bot that can do a lot of things related to PDF files.

License

Notifications You must be signed in to change notification settings

ilhamr0f11/Telegram-PDF-IR-Bot

 
 

Repository files navigation

Telegram PDF Bot

Telegram Bot MIT License GitHub Actions Codacy Badge Code style: black Crowdin Telegram Channel Mentioned in Awesome Telegram

A Telegram bot that can:

  • Compress, crop, decrypt, encrypt, merge, preview, rename, rotate, scale and split PDF files
  • Compare text differences between two PDF files
  • Create PDF files from text messages
  • Add watermark to PDF files
  • Add text layers to PDF files to make them searchable with text
  • Extract images and text from PDF files
  • Convert PDF files into images
  • Beautify handwritten notes images into PDF files
  • Convert webpages and images into PDF files

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes

Setup Database

The bot uses Datastore on Google Cloud Platform (GCP). Create a new project on GCP and enabble Datastore in the project. Install the gcloud CLI and run gcloud init to initialise it with your project.

OS Requirements

Ubuntu

apt-get install poppler-utils libcairo2 libpango-1.0-0 libpangocairo-1.0-0 libgdk-pixbuf2.0-0 libffi-dev shared-mime-info

macOS

brew install libxml2 libxslt poppler cairo pango gdk-pixbuf libffi

Install dependencies

This project uses Poetry as the dependency manager, run the following command to install the dependencies:

poetry install --no-root

Compile the translation files

Run the following command to compile all the translation files:

pybabel compile -D pdf_bot -d locale/

Setup Your Environment Variables

Copy the .env example file and edit the variables within the file:

cp .env.example .env

Running The Bot

You can then start the bot with the following command:

python main.py

About

Telegram bot that can do a lot of things related to PDF files.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 99.3%
  • Other 0.7%