AWS Lambda function that executes Tesseract (Optimal Character Recognition Engine) on Base 64 encoded images.
The function also implements horizontal whitespace detection through use of Tesseract's TSV output.

• Tesseract-OCR
  • Tesseract pre-compiled binaries for Amazon Linux 1 and Windows are included in this repo.
• Windows
  • Required for local testing.
• Python 3.7.5
  • Required for local testing.
  • The Tesseract Linux binary in this repo is only compatible with Amazon Linux 1, which corresponds to Lambda Python runtimes ≤ Version 3.7.5.

Local testing is supported only for Windows.
Modify /test_suite to add test cases.
Execute ocr_tester.py to run tests.

Include a Base 64 encoded image in the function invocation payload.
The function will return a JSON response with the following variables:

• text - String containing the recognized text or error info.
• statusCode - Integer representing function success status. See table below:

1. Create a ZIP file with the following structure (tested using 7 Zip):

    .
    ├── lambda_handler.py
    ├── ocr.py
    └── dependencies
        └── tesseract_ocr_linux

2. Sign up for an AWS account.
3. Create S3 bucket.
4. Upload ZIP file to S3 bucket.
5. Create Lambda function.
6. Configure Lambda function with the following settings:

7. Import source code from S3 bucket ZIP file.
8. Ready to use!