List of Amazon Textract Customers
Amazon Web Services (AWS)
410 Terry Avenue North,
Seattle, 98109-5210, WA,
United States
Seattle, 98109-5210, WA,
United States
1 206-266-1000
Professional Services
135000
$128.7B
Since 2010, our global team of researchers has been studying Amazon Textract customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Amazon Textract for Intelligent Document Processing from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Amazon Textract for Intelligent Document Processing include: Elevance Health, formerly Anthem, Inc, a United States based Insurance organisation with 104900 employees and revenues of $171.34 billion, Max Healthcare Institute, a India based Healthcare organisation with 15000 employees and revenues of $548.0 million, Seymour Whyte, a Australia based Construction and Real Estate organisation with 800 employees and revenues of $284.0 million, Biz2Credit, a United States based Banking and Financial Services organisation with 550 employees and revenues of $120.0 million, BlueVine Inc., a United States based Banking and Financial Services organisation with 600 employees and revenues of $80.0 million and many others.
Contact us if you need a completed and verified list of companies using Amazon Textract, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Amazon Textract customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Biz2Credit | Banking and Financial Services | 550 | $120M | United States | Amazon Web Services (AWS) | Amazon Textract | Intelligent Document Processing | 2020 | n/a |
In 2020, Biz2Credit implemented Amazon Textract to support Intelligent Document Processing for its bank statement analysis module. Amazon Textract was deployed via the Amazon Textract API on AWS to ingest scanned and faxed customer bank statements and convert unstructured images into structured text assets for downstream evaluation.
The implementation centered on a BSA module that digitizes bank statements into constituent individual transactions, enabling credit evaluation workflows to consume normalized transaction data. Amazon Textract was configured to handle multiple input formats, with parsing routines that break statements into transaction-level records and metadata fields, enabling automated ingestion into Biz2Credit credit models.
Integration focused on routing Textract output into existing credit evaluation and underwriting pipelines, allowing data scientists and credit analysts to use transaction feeds rather than raw images. The deployment was operationally scoped to lending operations and credit assessment functions, and it enabled teams to concentrate on model development for credit evaluation rather than maintaining OCR engines.
Governance and validation included testing the automated BSA with a large bank, where Amazon Textract supported accuracy and throughput objectives. In that test the automated BSA achieved an 80% reduction in human effort and drove human induced error rates in digitization to near 0, outcomes that informed rollout decisions and operational acceptance.
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BlueVine Inc. | Banking and Financial Services | 600 | $80M | United States | Amazon Web Services (AWS) | Amazon Textract | Intelligent Document Processing | 2020 | n/a |
In 2020, BlueVine Inc. integrated Amazon Textract into its document processing pipeline to automate PPP loan document intake under the Document Processing category. BlueVine Inc. Amazon Textract Document Processing supported loan servicing and risk operations, enabling automated capture of applicant documents and routing to downstream teams across the United States.
The implementation leveraged Amazon Textract capabilities for optical character recognition, key value extraction, and table extraction to convert unstructured and semi structured documents into machine readable data. Amazon Textract was embedded into BlueVine intake and underwriting workflows to perform automated data ingestion, document classification, and exception routing so servicing and risk teams received pre populated records for review rather than manual transcription.
Governance for the rollout was coordinated across multiple internal teams, with automation rules and validation checkpoints designed to reduce back office processing burden and accelerate case handling. The Amazon Textract deployment was cited as a key enabler during the PPP program, helping BlueVine process volumes that supported thousands of businesses and contributed to preserving more than 400,000 jobs, while allowing servicing and risk teams to focus on customer outcomes.
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Elevance Health, formerly Anthem, Inc | Insurance | 104900 | $171.3B | United States | Amazon Web Services (AWS) | Amazon Textract | Intelligent Document Processing | 2016 | n/a |
In 2016, Elevance Health implemented Amazon Textract to automate manual data processing and accelerate document-to-data conversion; the Apps Category was . The deployment targeted document-level extraction workflows and upstream data modeling to reduce manual curation effort across the companys data processing operations. Amazon Textract was the central application used for OCR and structured data extraction, enabling downstream machine learning pipelines and programmatic data transformation.
The implementation combined Amazon Textract with Amazon SageMaker and TensorFlow for model training, data modeling, and curated data outputs. Functional capabilities implemented included automated text and form extraction, data normalization and feature engineering, and model-driven entity and field classification, with clear separation between extraction, model training, and curation stages.
The solution was provisioned on Amazon Web Services and integrated explicitly with Amazon SageMaker and TensorFlow for model development and inference orchestration. Operational coverage focused on data engineering and analytics teams responsible for ingesting extracted data into downstream systems, supporting rule-based and ML-enhanced validation, and maintaining curated datasets for analytic consumption.
Governance emphasized curated data stewardship and model lifecycle controls, with processes to validate extracted fields, retrain models, and manage curated datasets. The project outcome included automating manual data processing and saving more than 10M+ year over year by combining Amazon Textract extraction with SageMaker and TensorFlow driven modeling and curation.
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Max Healthcare Institute | Healthcare | 15000 | $548M | India | Amazon Web Services (AWS) | Amazon Textract | Intelligent Document Processing | 2021 | MothersonSumi INfotech & Designs Limited (MIND) |
In 2021, Max Healthcare Institute deployed Amazon Textract as its Intelligent Document Processing solution to automate supplier document intake and extraction. MothersonSumi Infotech & Designs Limited (MIND) led the implementation on Amazon Web Services using a serverless architecture to address high volume, multi-template supplier invoices and reduce manual activity in Accounts Payable and back-office operations across Max Healthcare’s 16 facilities and affiliated businesses.
The implementation architecture centers on event-driven, serverless components. Scanned supplier documents are ingested via a scheduler and uploaded to Amazon S3, which triggers AWS Step Functions to orchestrate per-document processing. Pre-processing uses an image processing library to clean and improve readability, Amazon Textract performs both form and raw data extraction, and post-processing applies template-based validation to surface mandatory fields with high confidence. The solution integrates Amazon A2I for an augmented human loop that routes low confidence extracts for manual review and correction.
Operational integration channels extracted data into Amazon DynamoDB as the system of record for processed supplier information, from where data is periodically extracted into the downstream ERP for supplier payments. The deployment leverages Amazon API Gateway, AWS Lambda, Amazon CloudWatch for observability, and AWS Step Functions for workflow orchestration, aligning functional capabilities with Accounts Payable, back-office processing, and supplier invoice lifecycle management across Max’s hospitals, Max@Home, and Max Labs businesses.
MIND evaluated a machine learning based approach and used the Amazon Textract incubation initiative to accelerate time to production, delivering the required level of extraction accuracy with minimal operational overhead. The architecture preserves human review for exceptions via Amazon A2I and centralizes governance through DynamoDB and Step Functions to standardize workflows and validation rules for ongoing Intelligent Document Processing.
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Seymour Whyte | Construction and Real Estate | 800 | $284M | Australia | Amazon Web Services (AWS) | Amazon Textract | Intelligent Document Processing | 2022 | n/a |
In 2022, Seymour Whyte automated accounts payable invoicing using Amazon Textract under an Intelligent Document Processing initiative. The deployment used Amazon Textract as the document extraction engine to capture invoice metadata and structured line item data across on-site AP operations in Brisbane, Australia.
Amazon Textract was configured to perform document classification, OCR extraction, and field-level data capture, feeding normalized invoice records into downstream workflows. The implementation emphasized invoice parsing, data validation rules, and automated handoffs to the finance workflow for posting and approval, consistent with Intelligent Document Processing functional patterns.
The extraction pipeline was hosted on AWS and integrated with a Snowflake Data Lakehouse that had been designed by Seymour Whyte to centralize extracted document data. The project ran alongside an ERP migration from Tremble Viewpoint to SAP Hana, with extracted invoice data routed into SAP Hana for invoice posting and reconciliation, and persisted in Snowflake for reporting and analytics.
Governance included ISO 27001 and OWASP threat audit compliance activities to secure the document processing pipeline and controls around extracted financial data. The same team that led the SAP Hana migration and the Snowflake Data Lakehouse development implemented the Amazon Textract automation, and reported a 30 percent reduction in AP processing time as an outcome of the Textract-led automation.
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Buyer Intent: Companies Evaluating Amazon Textract
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Amazon Textract. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Amazon Textract for Intelligent Document Processing include:
- Freddie Mac, a United States based Banking and Financial Services organization with 8004 Employees
- Belkins Ukraine, a Ukraine based Professional Services company with 50 Employees
- Vitalum, a India based Education organization with 10 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
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Freddie Mac | Banking and Financial Services | 8004 | $21.2B | United States | 2025-05-02 |
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Belkins Ukraine | Professional Services | 50 | $5M | Ukraine | 2025-02-20 |
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Vitalum | Education | 10 | $1M | India | 2024-08-27 |
FAQ - APPS RUN THE WORLD Amazon Textract Coverage
Amazon Textract is a Intelligent Document Processing solution from Amazon Web Services (AWS).
Companies worldwide use Amazon Textract, from small firms to large enterprises across 21+ industries.
Organizations such as Elevance Health, formerly Anthem, Inc, Max Healthcare Institute, Seymour Whyte, Biz2Credit and BlueVine Inc. are recorded users of
Amazon Textract for Intelligent Document Processing.
Companies using Amazon Textract are most concentrated in Insurance, Healthcare and Construction and Real Estate, with adoption spanning over 21 industries.
Companies using Amazon Textract are most concentrated in United States, India and Australia, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Amazon Textract across Americas, EMEA, and APAC.
Companies using Amazon Textract range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 60%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 40%.
Customers of Amazon Textract include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Amazon Textract customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Intelligent Document Processing.