Normalized claim
Human labor reduction for PII redaction: 97% decrease
97% reduction in human labor for PII redaction
Amazon Textract recognizes handwriting and adds five new languages
Use case typeIntelligent document processingUpdated Jun 13, 2026
Documents are a primary tool for communication, collaboration, record keeping, and transactions across industries, including financial, medical, legal, and real estate. The format of data can pose an extra challenge in data extraction, especially if the content is typed, handwritten, or embedded in a form or table. Amazon Textract added support for handwriting in English documents and expanded printed-text language support to Spanish, Portuguese, French, German, and Italian. Customers can upload documents with both printed text and handwriting directly in the Amazon Textract console or via AWS CLI and AWS SDKs. Amazon Augmented AI can be used to build human review workflows for sensitive workloads, and Textract integrates with services such as Amazon S3 and Amazon RDS for downstream analytics.
- Organization
- Intuit
- Industry
- Other
- Location
- United States
- Published
- November 2020
Reported outcomes
Human labor reduction for PII redaction: −97%
Other quantified impact
Downtime reduction: −22%Maintenance cost reduction: −18%
Planned next steps
- The source says the organization aims to achieve Work hours reduction for data entry: −70%.
- ARQ Group expects a 22% reduction in downtime and an 18% reduction in maintenance cost from digitizing maintenance data while preserving handwritten processes
- Lumiq reports a 97% reduction in human labor for PII redaction and a projected 70% reduction in work hours for data entry
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Work hours reduction for data entry: 70% decrease
projected 70% reduction in work hours for data entry
Normalized claim
Downtime reduction: 22% decrease
22% reduction in downtime
Normalized claim
Maintenance cost reduction: 18% decrease
18% reduction in maintenance cost
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Intuit, Veeva, Baker Tilly, ARQ Group, Belle Fleur, Lumiq.ai, QL Resources
- Provider
- AWS
- Maturity
- Unknown
- Linked source
- AWS Machine Learning Blog
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 3 of 4
- 1Document processing
- 2Intelligent document processing
- 3OCR
- Amazon Textract extracts printed text, handwriting, tables, and forms from documents
- English handwriting recognition and support for printed text in Spanish, Portuguese, French, German, and Italian
- Amazon Augmented AI supports human review workflows for sensitive workloads
- Integrations with Amazon S3 and Amazon RDS enable downstream analytics and workflow automation
Baker Tilly says digital forms can be read quicker and more effortlessly, improving streamlined decision-making
Sources & evidence1
Evidence: Low35/100Evidence strength
- Customer explicitly identified
- Quantified outcome available
- Technical implementation details available
ExpandedExpanded
The same organization appears in newer AI deployment evidence.
- Same organization re-documented as recently as 2026.
Measures whether this deployment's public evidence persists — not whether the system is still in production.
Type: Blog PostPublished: Nov 13, 2020Publisher: AWSEvidence: VendorConfidence: Medium
AI-generated summary. Verify important details with the linked sources before relying on this case.
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