https://github.com/ShivangKakkar/OCRBot

https://t.me/StarkBots
https://github.com/ShivangKakkar/OCRBot

Last synced: 6 days ago
JSON representation

https://t.me/StarkBots

• Host: GitHub
• URL: https://github.com/ShivangKakkar/OCRBot
• Owner: ShivangKakkar
• License: agpl-3.0
• Created: 2021-08-15T16:56:15.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2022-12-04T03:56:35.000Z (over 2 years ago)
• Last Synced: 2025-02-09T00:02:45.631Z (3 months ago)
• Language: Python
• Size: 15.6 KB
• Stars: 26
• Watchers: 1
• Forks: 23
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• BotList - OCR [Image to Text - Text extraction from Images (Telegram Bot List / List of Source Codes)

README

        
# OCR Bot [@Image_To_Text_OCR_Bot](https://t.me/Image_To_Text_OCR_Bot)

> A star ⭐ from you means a lot to us!



Telegram bot to extract text from image

[![Open Source Love svg1](https://badges.frapsoft.com/os/v1/open-source.svg?v=103)](https://github.com/ellerbrock/open-source-badges/)

## Usage

### Deploy to Heroku

[![Deploy](https://www.herokucdn.com/deploy/button.svg)](https://heroku.com/deploy?template=https://github.com/StarkBotsIndustries/OCRBot)

1. Tap on above button and fill `API_ID`, `API_HASH`, `BOT_TOKEN`.

2. Then tap "Deploy App" below it. Wait till deploying is complete (will take atmost 2 minutes).

3. After deploying is complete, tap on "Manage App"

4. Check the logs to see if your bot is ready!

### Local Deploying

1. Clone the repo

   ```markdown

   git clone https://github.com/StarkBotsIndustries/OCRBot

   ```

2. Now head to [this page](https://github.com/UB-Mannheim/tesseract/wiki) and install Tesseract installer. 

   

3. Use it to  install Tesseract and copy the PATH to where it is installed. 

4. Now uncomment out [this line](https://github.com/StarkBotsIndustries/OCRBot/blob/master/OCRBot/ocr.py#L8). Fill the inverted commas with your own PATH.

   

5. Edit `Config.py` and fill the needed variables

6. Enter the directory

   ```markdown

   cd OCRBot

   ```

  

7. Install all requirements using pip.

   ```markdown

   pip3 install -r requirements.txt

   ```

8. Run the file

   ```markdown

   python3 main.py

   ```

## Environment Variables

#### Mandatory Vars

- `API_ID` - Get this from [my.telegram.org](https://my.telegram.org/auth)

- `API_HASH` - Get this from [my.telegram.org](https://my.telegram.org/auth)

- `BOT_TOKEN` - Get this from [@BotFather](https://t.me/BotFather)

## Functions

> More features soon, this is a minimal example :)

1) Extract text from image

2) Send any amount of images at once, and it will work the same.

## To-Do

> That's on you mainly...

[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)

## Credits

- [Dan Tès](https://github.com/delivrance) for his [Pyrogram](https://docs.pyrogram.org) Library

## Support

Channel :- [@StarkBots](https://t.me/StarkBots)

Group Chat :- [@StarkBotsChat](https://t.me/StarkBotsChat)

## :)

[![ForTheBadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)

[![ForTheBadge built-with-love](http://ForTheBadge.com/images/badges/built-with-love.svg)](https://github.com/StarkBotsIndustries)

[![ForTheBadge makes-people-smile](http://ForTheBadge.com/images/badges/makes-people-smile.svg)](https://github.com/StarkBotsIndustries)