ricktorzynski/ocr-tesseract-docker repository overview

⁠OCR Tesseract Docker

Allows upload of an image for OCR using Tesseract and deployed using Docker. This uses Flask, a light weight web server framework - but for development purposes only. OpenCV is used to reduce noise in the image for better processing by pytesseract. Uploads on AWS are limited to 2MB - below are 3 images of a job posting taken on a Pixel 2XL phone, and reduced in size using Gimp by adjusting quality.

⁠Getting Started

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

⁠Prerequisites

You will need Docker installed on your system and a command line editor.

Docker
Git Bash (on Windows)
Terminal (Linux or Mac)

⁠Installing and Running

You can clone this repository or download a zip file, build and run the Docker image.

$ docker build -t ocr-tesseract-docker .
$ docker run -d -p 5000:5000 ocr-tesseract-docker

OR you can pull and/or run the Docker image from my repository on Docker Hub

docker pull ricktorzynski/ocr-tesseract-docker
docker run -d -p 5000:5000 ricktorzynski/ocr-tesseract-docker

Then open up browser to http://localhost:5000⁠

You can use these images to test it - these are photos of a job posting:

• Job Posting 1⁠
• Job Posting 2⁠
• Job Posting 3⁠

⁠Deployed to AWS Elastic Beanstalk

This app was deployed to AWS Elastic Beanstalk, but is no longer available.

⁠Built With

Python
Flask
Pytesseract
OpenCV
Bootstrap
Docker

⁠Resources

Here are some helpful resources on the web that I used for this project.

• Deep Learning based Text Recognition (OCR) using Tesseract and OpenCV⁠
• Using Tesseract OCR with Python⁠
• Dockerize your Flask Application⁠
• Dockerize Simple Flask App⁠

⁠Acknowledgments

I would like to thank Matt Berseth and Robert Marsh of NLP Logix for inspiring me to build this application - I have learned a great deal in a short amount of time.