Spark OCR Workshop

Public examples of using John Snow Labs' OCR for Apache Spark.

Installing and Quickstart Instructions

You need Secret key and License key. Please contact us at [email protected] for get it.

Secret key is a key for download or install python package and jar from https://pypi.johnsnowlabs.com/. Secret key is specific for each release.

License key is a key for run Spark OCR.

Setting up the license key

Setting up in notebook

Need set value for license variable:

license = "license key"

Using Environment variable

Linux, Mac OS:

export JSL_OCR_LICENSE=license_key

Windows:

set JSL_OCR_LICENSE=license_key

Run notebooks on Google Colab

• Go to the https://colab.research.google.com/
• Open notebook:
  • File -> Open notebook.
  • Switch to Github tab.
  • Enter url: https://github.com/JohnSnowLabs/spark-ocr-workshop.
  • Select SparkOcrSimpleExample.ipynb notebook.
• Set secret and license variables to valid values in first cell.
• Run all cells: Runtime -> Run all.
• Restart runtime: Runtime -> Restart runtime (Need restart first time after installing new packages).
• Run all cellls again.

Run notebooks locally using jupyter

• Install jupyter notebooks. More details: https://jupyter.org/install :

python3 -m pip install --user jupyter

• Clone Spark OCR workshop repo:

git clone https://github.com/JohnSnowLabs/spark-ocr-workshop
cd spark-ocr-workshop

• Run jupyter:

jupyter-notebook

• Open jupyter in browser
• Open jupyter/SparkOcrSimpleExample.ipynb notebook.
• Set secret and license variables to valid values in first cell.
• Run all cells: Cell -> Run all.
• Restart runtime: Kernel -> Restart (Need restart first time after installing new packages).
• Run all cellls again.

Run at java project

It is possible to call functionality from Java project. ./java/ folder contains sample of Java project that could be built with Maven.