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Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

List of Amazon Textract Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
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.
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.
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.
Healthcare 15000 $548M India Amazon Web Services (AWS) Amazon Textract Intelligent Document Processing 2021 MothersonSumi INfotech & Designs Limited (MIND)
Construction and Real Estate 800 $284M Australia Amazon Web Services (AWS) Amazon Textract Intelligent Document Processing 2022 n/a
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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:

  1. Freddie Mac, a United States based Banking and Financial Services organization with 8004 Employees
  2. Belkins Ukraine, a Ukraine based Professional Services company with 50 Employees
  3. Vitalum, a India based Education organization with 10 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

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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.