ughe/old-bailey

Code for The Old Bailey and OCR paper. Client for benchmarking OCR on AWS Textract, Azure Cognitive Services, and GCP Vision. Data available at obo.cs.princeton.edu/data.

Old Bailey and OCR

Code for the Old Bailey and OCR paper. tigerocr is a client used for benchmarking OCR performance of leading cloud providers. Data used in the Old Bailey and OCR paper is available at https://obo.cs.princeton.edu/data/ and is licensed by the Old Bailey Online under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) terms.

Install

pip install -r requirements.txt
go install ./...
cp scripts/* $GOPATH/bin/

Create Keys

Follow the documentation below to create keys for AWS, Azure, and GCP

$ tigerocr --help
Usage of tigerocr:
  -aws
    	Run AWS Textract OCR. Key files: credentials config
    	More info: https://docs.aws.amazon.com/textract/latest/dg/setup-awscli-sdk.html
  -azure
    	Run Azure CognitiveServices OCR. Key file: azure.json
    	More info: https://docs.microsoft.com/azure/cognitive-services/cognitive-services-apis-create-account
    	Note: Create a json file with 'subscription_key' and 'endpoint' items
  -gcp
    	Run GCP Vision OCR. Key file: gcp.json
    	More info: https://cloud.google.com/vision/docs/before-you-begin
  -keys string
    	Path to credentials directory (default "/home/user/.aws")

For example:

tigerocr -aws -azure -gcp image.jpg

OCR PDF

ocr_pdf.sh file.pdf