Slug: aws-textract-model Version: 1.0.0 Infer: Yes

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Overview

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AWS Textract Model

The AWS Textract model extracts text, forms, and tables from documents using Amazon’s advanced OCR and machine learning technology. It goes beyond basic OCR to detect and extract structured data, making it ideal for automating document-based workflows.

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How It Works

1. The model uploads your document to Amazon Web Services Textract
2. Textract analyzes the document using specialized machine learning algorithms
3. The model processes the results, including:
   • Detected text with positioning information
   • Form fields with key-value pairs
   • Table structures with row and column data
4. Results are converted into a rich Kodexa document structure with spatial information

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Options Configuration

Option	Description
ignore_dash_lines	When enabled, removes dash-only lines from the extracted document structure
apply_skew	When enabled, corrects for document skew in the text positioning calculations

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Document Enhancements

The model adds several enhancements to the processed document:

• Spatial Mixin: Every text element includes precise coordinates
• Bounding Boxes: All document elements contain bounding box coordinates
• Confidence Scores: Each extracted element includes a confidence score
• Handwriting Detection: Identifies handwritten text elements
• Form Field Recognition: Labels form elements as key-value pairs

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Process Flow

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Extraction Capabilities

AWS Textract excels at extracting:

• Text Content: Words, lines, and paragraphs with positioning
• Form Fields: Automatically identifies key-value pairs in forms
• Tables: Detects tabular structures with row and column relationships
• Handwriting: Identifies and extracts handwritten text
• Document Layout: Preserves the visual structure of the document

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Use Cases

This model is particularly useful for:

• Forms Processing: Extracting data from invoices, applications, and forms
• Table Extraction: Converting tabular information into structured data
• Document Digitization: Converting paper or image-based documents to digital formats
• Content Indexing: Making document content searchable and analyzable
• Form Field Automation: Identifying key-value pairs for automated data entry

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AWS Integration Notes

• The model requires AWS credentials to be configured in your environment
• Processing occurs in your AWS account and may incur AWS Textract charges
• Large documents may take longer to process due to AWS Textract’s processing time
• The model supports most common document formats including PDF, PNG, JPEG, and TIFF

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Additional Features

• Line Grouping: Intelligently groups text elements into lines
• Overlapping Text Handling: Resolves overlapping text elements
• Skew Correction: Optionally applies correction for skewed documents
• Configuration Options: Customizable parameters to optimize extraction results

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Inference Options

The following options can be configured when using this model for inference:

Name	Label	Type	Description	Default	Required
ignore_dash_lines	Ignore Dash Line	boolean	Ignore the dash line in the document	False	No
apply_skew	Apply Skew	boolean	Apply skew correction to the document	True	No

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Model Details

• Provider: Amazon Web Services