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AWS Textract compliance workflow automation

AWS Textract is a machine learning service from Amazon that extracts text, tables, forms, and structured data from scanned documents and images.

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What we connect AWS Textract toWe integrate and automate AWS Textract alongside Mailgun, MQTT, AWS DynamoDB, Gali, Confluent, Todoist and hundreds of other systems.osher.com.auAWS Textractintegrated & automatedMailgunMQTTAWS DynamoDBGaliConfluentTodoist
AWS Textract

What you can automate with AWS Textract

AWS Textract is a machine learning service from Amazon that extracts text, tables, forms, and structured data from scanned documents and images. Unlike basic OCR tools that only read text line by line, Textract understands document structure — it identifies form fields and their values, extracts table rows and columns, and recognises the relationships between labels and data. This makes it practical for processing invoices, contracts, tax forms, medical records, and any document where structure matters as much as content. The value of Textract multiplies when it is connected to automated workflows. Instead of someone manually entering data from paper forms or PDFs into a system, Textract reads the document, extracts the relevant fields, and passes structured data directly into your database, CRM, or accounting platform. For businesses processing hundreds or thousands of documents per month, this eliminates a significant manual workload and reduces data entry errors. Osher builds document processing pipelines using AWS Textract as part of our automated data processing services. We have delivered similar work for clients in healthcare and insurance — see our medical document classification case study for an example of how AI-powered document processing works in practice. If your team spends time manually extracting data from documents, get in touch to discuss an automated Textract pipeline.

AWS Textract FAQs

Frequently Asked Questions

Common questions about how AWS Textract consultants can help with integration and implementation

AWS Textract extracts text, tables, forms, and structured data from scanned documents, PDFs, and images using machine learning. It goes beyond standard OCR by understanding document layout, identifying key-value pairs in forms, and preserving table structures in the extracted output.

Yes. Textract outputs structured JSON data that can be fed into any downstream system. Combined with workflow automation tools like n8n, extracted data can flow directly into CRMs, accounting platforms, databases, or compliance systems without manual intervention.

Textract works with invoices, receipts, tax forms, contracts, medical records, insurance claims, identity documents, and any structured or semi-structured paperwork. It handles both printed and handwritten text, though accuracy varies with handwriting quality.

Accuracy depends on document quality, font clarity, and layout complexity. For clean, printed documents like invoices and forms, Textract typically achieves high accuracy. For handwritten or low-quality scans, accuracy drops but can be improved with post-processing validation in your workflow.

Textract charges per page processed, with different rates for text detection, form extraction, and table extraction. Standard text detection starts at USD $0.0015 per page. The free tier includes 1,000 pages per month for the first three months.

We build complete document processing pipelines — from file intake to structured data output. Our data processing team configures Textract for your document types, builds validation and error handling workflows, and connects the extracted data to your business systems. See our medical document classification case study for an example.

How it works

Implementing AWS Textract

Step 1

Process Audit

We review your current document processing workflows — which documents your team handles manually, where data entry errors occur, and how extracted data needs to flow into downstream systems. This identifies the documents best suited for Textract automation.

Step 2

Identify Automation Opportunities

Based on the audit, we prioritise which document types to automate first. High-volume, structured documents like invoices and forms typically deliver the fastest return. We also identify which extracted fields need validation rules and which can be processed automatically.

Step 3

Design Workflows

We design the document processing pipeline — how files are received (email, upload, S3 bucket), which Textract features are used (text detection, form extraction, table extraction), how results are validated, and where structured data is delivered.

Step 4

Implementation

Our team builds the Textract integration, configuring document intake channels, Textract API settings for each document type, data validation logic, and output routing to your CRM, database, or accounting platform. Error handling ensures unreadable documents are flagged for human review.

Step 5

Quality Assurance Review

We test the pipeline with real documents across different formats, quality levels, and edge cases. Extraction accuracy is validated field by field, and the full workflow is confirmed to deliver correct data to destination systems.

Step 6

Support and Maintenance

After launch, we monitor extraction accuracy and pipeline performance. When new document types need processing or Textract releases improved models, we update configurations and validation rules to maintain data quality.

Works well with AWS Textract

Other tools we connect and automate alongside AWS Textract.

MailgunMQTTAWS DynamoDBGaliConfluentTodoist

AWS Textract work usually lands in system integrations, AI agent development or n8n consulting.

Get in touch

Ready to automate AWS Textract?

Tell us what you want AWS Textract to talk to and we’ll map out the build, the cost and the payback.

[email protected]+61 (07) 3357 1154

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