gtostock / amazon-textract-code-samples

Amazon Textract Code Samples

Amazon Textract Code Samples

This repository contains example code snippets showing how Amazon Textract and other AWS services can be used to get insights from documents.

Usage

python3 01-detect-text-local.py

For examples that use S3 bucket, upload sample images to an S3 bucket and update variable "s3BucketName" in the example before running it.

Python Samples

Argument	Description
01-detect-text-local.py	Example showing processing a document on local machine.
02-detect-text-s3.py	Example showing processing a document in Amazon S3 bucket.
03-reading-order.py	Example showing printing document in reading order.
04-nlp-comprehend.py	Example showing detecting entities and sentiment.
05-nlp-medical.py	Example showing detecting medical entities.
06-translate.py	Example showing translation of documents.
07-search.py	Example showing document indexing in Elasticsearch.
08-forms.py	Example showing form (key/value) processing.
09-forms-redaction.py	Example showing redacting information in document.
10-tables.py	Example showing table processing.
11-tables-expense.py	Example showing validation of table data.
12-pdf-text.py	Example showing PDF document processing.

.NET Usage

Usage: dotnet run [--switch]
To run this console app, use the following valid switches one at a time:
                     --detect-text-local
                     --detect-text-s3
                     --pdf-text
                     --forms
                     --forms-redaction
                     --tables
                     --tables-expense
                     --reading-order
                     --nlp-comprehend
                     --nlp-medical
                     --translate
                     --search
      e.g. dotnet run --detect-text-s3

.NET Samples

Go to src-csharp folder for .NET samples

Argument	Description
--detect-text-local	Example showing processing a document on local machine.
--detect-text-s3	Example showing processing a document in Amazon S3 bucket.
--pdf-text	Example showing PDF document processing.
--forms	Example showing form (key/value) processing.
--forms-redaction	Example showing redacting information in document.
--tables	Example showing table processing.
--tables-expense	Example showing validation of table data.
--reading-order	Example showing printing document in reading order.
--nlp-comprehend	Example showing detecting entities and sentiment.
--nlp-medical	Example showing detecting medical entities.
--translate	Example showing translation of documents.
--search	Example showing document indexing in Elasticsearch.

Other Resources

• Large scale document processing with Amazon Textract - Reference Architecture
• Batch processing tool
• JSON response parser

License Summary

This sample code is made available under the MIT-0 license. See the LICENSE file.