AWS Textract integration & automation experts
We can help you automate your business with AWS Textract and hundreds of other systems to improve efficiency and productivity.
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
How it works
We work hand-in-hand with you to implement AWS Textract
As AWS Textract consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate AWS Textract with integrate and automate 800+ tools.
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.
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.
Transform your business with AWS Textract
Get in touch for a free consultation to see how we can automate your operations with AWS Textract.
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