OCR Tesseract Docker

Allows upload of an image for OCR using Tesseract and deployed using Docker.

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 with NLP Logix:

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

I have also deployed it to Heroku, but free account only allows 512MB of memory and this can be exceeded by the app. But here is a URL:

https://floating-castle-16480.herokuapp.com/

Again, I can't guarantee that this will work - I will also deploy it on AWS or Azure to test those services.

Built With

Python
Flask
Pytesseract
OpenCV
Bootstrap
Docker

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. I can finally begin integrating development and data science in a meaningful way.