Slug: aws-textract-model-v3 Version: 1.0.0 Infer: Yes

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Overview

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AWS Textract V3 Model

The AWS Textract V3 model further enhances the capabilities of previous versions by adding support for external data integration. This allows the model to utilize preprocessing information to rotate bounding boxes and better align them with document orientation, resulting in even more accurate text positioning and extraction.

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Improvements in V3

• External Data Integration: Ability to use preprocessing data to improve extraction
• Enhanced Rotation Support: Better handling of rotated text in documents
• Pre-processing Awareness: Takes advantage of earlier document analysis results
• Intelligent Coordinate Transformations: Applies rotations based on document orientation
• All V2 Enhancements: Includes all improvements from V2 model

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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 integrates external data (if provided) to inform coordinate transformations
4. V3 applies improved bounding box calculations with rotation awareness
5. The model processes the results, including:
   • Detected text with orientation-aware positioning
   • Form fields with key-value pairs
   • Table structures with row and column data
6. Results are converted into a rich Kodexa document structure with highly accurate 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
external_data_key	Key to access external preprocessing data for improved coordinate transformation

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Process Flow

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Extraction Capabilities

AWS Textract V3 excels at extracting:

• Rotated Text: Better handling of text at various orientations
• Text Content: Words, lines, and paragraphs with orientation-aware 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 with the highest fidelity

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Use Cases

This model is particularly useful for:

• Complex Document Layouts: Documents with mixed orientations and rotated sections
• Pre-processed Documents: Cases where document analysis has already identified orientation
• High-Precision Layout Analysis: Applications requiring accurate text positioning
• 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

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When to Use V3 vs. Previous Versions

Choose Textract V3 when:

• You have preprocessing information about document orientation
• You’re working with documents containing rotated text or sections
• You need the highest possible spatial accuracy
• You’re processing complex documents with mixed orientations
• Your document processing pipeline includes orientation detection steps

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External Data Integration

The external_data_key option allows you to specify where to find preprocessing information about the document’s orientation. This data is used to apply appropriate rotations to the bounding boxes extracted from Textract, resulting in more accurate text positioning regardless of the original document orientation.

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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
external_data_key	External Data Key	string	N/A	-	No

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Model Details

• Provider: Amazon Web Services