List of Microsoft Azure Optical Character Recognizer (OCR) Customers
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Since 2010, our global team of researchers has been studying Microsoft Azure Optical Character Recognizer (OCR) 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 Microsoft Azure Optical Character Recognizer (OCR) 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 Microsoft Azure Optical Character Recognizer (OCR) for Intelligent Document Processing include: Microsoft, a United States based Professional Services organisation with 221000 employees and revenues of $243.00 billion, PharmCube China, a China based Life Sciences organisation with 300 employees and revenues of $40.0 million, Sipcam United States, a United States based Oil, Gas and Chemicals organisation with 45 employees and revenues of $30.0 million, Zelros France, a France based Insurance organisation with 34 employees and revenues of $4.0 million and many others.
Contact us if you need a completed and verified list of companies using Microsoft Azure Optical Character Recognizer (OCR), 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Microsoft | Professional Services | 221000 | $243.0B | United States | Microsoft | Microsoft Azure Optical Character Recognizer (OCR) | Intelligent Document Processing | 2020 | n/a |
In 2020, Microsoft implemented Microsoft Azure Optical Character Recognizer (OCR) as part of an Intelligent Document Processing deployment to scale contract review workflows. The implementation focused on achieving high accuracy, multilingual translation, and rapid processing across diverse contract and document types.
The implementation combined Microsoft Azure Optical Character Recognizer (OCR) with Microsoft Azure Form Recognizer and Microsoft Azure Translator, each accessed through REST APIs and client library SDKs. Configuration work included models for typed and handwritten text recognition, layout and field extraction, and automatic language detection to support PDFs, Microsoft Word documents, images, and other file formats.
Processing was organized into ingestion, extraction, and normalization stages aligned with Intelligent Document Processing practices, with cloud-based services orchestrated by application-side SDK integrations. This architecture allowed developers to embed cognitive capabilities into contract-review applications without requiring specialized AI or data science expertise.
Operational coverage emphasized enterprise contract review and legal review workflows, with rollout activities centered on standardizing parsing and translation across teams. Governance and process work prioritized model configuration, language mapping, and extraction schema standardization to ensure consistent downstream review and compliance handling.
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PharmCube China | Life Sciences | 300 | $40M | China | Microsoft | Microsoft Azure Optical Character Recognizer (OCR) | Intelligent Document Processing | 2022 | n/a |
In 2022 PharmCube China implemented Microsoft Azure Optical Character Recognizer (OCR) within an Intelligent Document Processing program as part of a Microsoft AI Co Innovation Lab engagement to extract sales data tables and standardize drug fiscal year reports. The implementation targeted automated data capture for pharmaceutical analytics, aligning document ingestion with downstream reporting and mapping workflows.
The deployment used Microsoft Azure Optical Character Recognizer (OCR) capabilities focused on table extraction, field level data capture, and mapping of clinical-indication attributes to standardized codes. Configuration emphasized template and model training for SSS report layouts and rule based validation for fiscal year report standardization, enabling repeatable extraction and automated parsing of tabular sales records.
Operational coverage was scoped to the China project and concentrated on sales reporting and clinical mapping use cases for commercial and analytics teams. The work integrated extracted data into PharmCube China reporting pipelines for pharmaceutical analytics, and the implementation refined document classification and mapping workflows to reduce manual reconciliation.
Governance centered on model validation and accuracy checks during rollout, with explicit quality thresholds applied to extracted outputs and clinical-indication matches. Outcomes reported from the engagement included greater than 90% extraction accuracy for SSS reports and approximately 97.7% matching accuracy for clinical-indication mapping, accelerating data mining and reducing manual work.
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Sipcam United States | Oil, Gas and Chemicals | 45 | $30M | United States | Microsoft | Microsoft Azure Optical Character Recognizer (OCR) | Intelligent Document Processing | 2022 | Beyond Key Systems |
In 2022, Sipcam United States implemented Microsoft Azure Optical Character Recognizer (OCR) as an Intelligent Document Processing solution for accounts payable automation. The deployment targeted invoice processing in the finance and AP function for the United States business unit and was scoped to accelerate invoice intake, extraction, and approval workflows.
The implementation used Azure Form Recognizer to auto-extract invoice metadata, standardize field mappings, and populate structured invoice records. Functional capabilities implemented included invoice capture, data validation and enrichment, document indexing for improved searchability, and automated approval triggers aligned with Intelligent Document Processing workflows.
The solution was delivered as a cloud-native Azure pipeline integrated with SharePoint for document storage and Power Automate for approval orchestration. Implementation partner Beyond Key Systems led configuration and rollout activities, aligning Microsoft Azure Optical Character Recognizer (OCR) outputs with SharePoint document libraries and Power Automate flows to drive end to end AP processing.
Governance and process changes centralized invoice routing and introduced automated approval workflows to reduce manual handoffs in AP. The finance implementation reduced manual data entry, moved invoice approvals from weeks to minutes, and improved accuracy and document searchability.
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Insurance | 34 | $4M | France | Microsoft | Microsoft Azure Optical Character Recognizer (OCR) | Intelligent Document Processing | 2022 | n/a |
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