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.