Microsoft 365 Copilot makes working with documents easier and faster by combining OCR (Optical Character Recognition) and advanced PDF summarization. Here’s how it helps:
- OCR extracts text from scanned documents, photos, and handwritten notes, making them searchable and editable.
- Summarization tools process PDFs, including scanned ones, to provide concise overviews or answer specific queries.
- Works across Microsoft apps like OneDrive, SharePoint, Teams, and Edge, ensuring seamless integration.
- Supports over 150 languages, making it ideal for international documents.
- Affordable pricing: Around $1 per 1,000 pages or images, with built-in deduplication to avoid extra costs.
This technology saves time by letting you search, analyze, and share insights from previously inaccessible files. Whether you’re reviewing contracts, research papers, or financial documents, Copilot simplifies the process and enhances collaboration, especially in Teams.
How OCR Works in Microsoft 365 Copilot

What OCR Does and Why You Need It
Optical Character Recognition (OCR) takes images and scanned documents and turns them into searchable, editable text. Basically, it enables your computer to "read" printed or handwritten content.
For example, when you upload a scanned contract, a photo of a whiteboard, or a physical PDF, OCR converts the characters into digital text. This makes the content searchable and editable, allowing you to quickly find specific terms, copy sections of text, or let Copilot analyze the information. Without OCR, these tasks would be impossible with image-only files.
The real benefit? It unlocks information that was previously hard to access. Imagine having a research paper saved as an image-based PDF. Instead of manually scrolling through pages, you can now search for specific studies or data points in seconds.
For professionals dealing with piles of documents, OCR is a game-changer. It’s like upgrading from a messy filing cabinet to a perfectly organized system where every document is easy to find. Up next, let’s explore how OCR integrates directly into your Microsoft 365 apps.
How OCR Connects with Microsoft 365 Apps
OCR works behind the scenes in SharePoint and OneDrive, creating a seamless experience across your document workflow. When you upload a scanned PDF or image file to these platforms, OCR kicks in automatically.
With SharePoint, scanned documents become part of your organization’s searchable knowledge base. Whether it’s a Word file or meeting notes saved as a scan, your colleagues can find what they need with a quick search.
OneDrive processes both personal and shared files, so even a photo of a conference presentation becomes searchable. Want to revisit a specific concept discussed during the session? Just search for the term – it’s that easy.
This integration extends to Microsoft Teams too. Documents shared in Teams channels that have gone through OCR can be searched by everyone in the group. Microsoft Search pulls OCR results from across the platform, meaning a single search query can surface content from scanned files, handwritten notes, and regular documents. This unified approach not only simplifies your workflow but also sets the stage for advanced features like PDF summarization and faster research processes.
File Types OCR Can Handle and Its Limits
OCR supports a wide range of formats, including JPEG, PNG, BMP, and TIFF – perfect for mobile photos, screenshots, and scans. It also handles PDF files generated from physical documents, covering most standard business needs. Knowing these capabilities helps you select the right documents for quicker, smoother processing.
However, there are some limits. OCR won’t process password-protected files or documents with certain digital rights restrictions. File size matters too – larger files or those with complex layouts might take longer to process. Simpler text-based documents, on the other hand, are handled quickly.
OCR supports many languages, making it ideal for handling international documents without extra setup. That said, document quality plays a big role. Clear, high-contrast scans produce the best results, while blurry photos or poorly lit images can reduce accuracy.
Handwriting is another factor. Neat, legible handwriting works well, but cursive or inconsistent styles may lead to errors. And while OCR can extract text from charts, diagrams, or images with captions, it won’t process purely graphical content in a meaningful way.
Lastly, the system avoids redundant processing. If you upload the same document more than once, it won’t waste time reprocessing it, keeping things efficient.
Make Scanned PDFs and Images Searchable in SharePoint, Copilot, and Purview
How to Summarize PDFs with Microsoft 365 Copilot
Microsoft 365 Copilot makes summarizing PDFs a breeze, whether you’re working with short reports or lengthy contracts. Thanks to its built-in OCR (Optical Character Recognition), it can even handle scanned documents with ease.
Creating PDF Summaries with Windows Copilot

Windows Copilot offers a straightforward way to summarize PDFs directly from your desktop. Simply click the Copilot icon in the taskbar (or use the shortcut Windows + C), then click the paperclip icon to upload your PDF file.
Files up to 10 MB in size can be uploaded, covering most business and research documents. Once uploaded, Copilot processes the file and confirms when it’s ready for analysis. To get the most accurate summary, provide a clear request, such as, "Summarize the key findings and recommendations." Copilot handles both native and scanned PDFs by extracting text via OCR before summarizing. While this step may take a few extra seconds, the results remain consistent and reliable.
Prefer working in a browser? You can also summarize PDFs directly in Microsoft Edge.
Summarizing PDFs in Microsoft Edge with Copilot

Microsoft Edge provides another convenient option for PDF summarization, especially when you’re reviewing documents online or email attachments. Open the PDF in Edge, and you’ll find the Copilot icon in the sidebar.
Clicking the icon activates Copilot, which automatically recognizes the PDF you’re viewing. You can choose between three response styles: Creative for broader insights, Balanced for general summaries, or Precise for concise, factual details. For research and detailed analysis, the Precise mode is often the best choice.
You can also ask specific questions to dig deeper into the content. For instance, try asking, "What methodology was used in this study?" or "What are the main budget items and their amounts?" Copilot even allows you to reference particular pages or sections, making it easy to navigate back to critical details – perfect for comparing multiple sources across tabs.
If you’re working with several PDFs at once, OneDrive offers an efficient solution.
Using OneDrive to Summarize Multiple PDFs

OneDrive enhances summarization by letting you process up to five PDFs simultaneously. This is especially helpful when you’re researching across multiple documents or reviewing several proposals.
Log in to onedrive.com, navigate to your PDF folder, and select up to five files (hold Ctrl to select multiple). Then, either click the Copilot button in the bottom-right corner and choose "Summarize this file", or right-click and select the summarize option from the menu.
The Copilot panel will generate a combined summary, pulling key points from all selected files. This overview highlights patterns, inconsistencies, and gaps, saving you the hassle of reviewing each document individually.
Research Workflows with OCR and Copilot
By leveraging Copilot’s OCR and summarization tools, research workflows become more efficient and adaptable. Using OCR technology alongside Microsoft 365 Copilot allows users to process both digital and scanned documents seamlessly. Whether you’re working with older files, mixed-format archives, or large-scale research projects, Copilot simplifies the process by automatically extracting text from scanned images.
Processing Scanned PDFs with OCR
Scanned PDFs require a different approach compared to standard digital documents. When you upload a scanned PDF to Windows Copilot or open it in Microsoft Edge, Copilot automatically applies OCR to extract text from the images. The time needed for this process depends on the document’s quality and length, and a progress indicator keeps you updated on the extraction status. Once the OCR process is complete, you can interact with the extracted text just like you would with a native PDF.
To ensure accurate results, use scans that are clear and have high contrast. Documents with handwritten or faded text may require additional review to correct inaccuracies. Reviewing the extracted text is a critical step to ensure nothing important is missed.
Now, let’s explore how combining OCR-processed files with standard digital documents enhances analysis.
Using Regular and OCR-Processed PDFs Together
Modern research often involves working with both digital files and scanned records. Microsoft 365 Copilot is designed to handle both formats in a single workflow, applying OCR to scanned documents as needed and generating a unified summary.
This capability is particularly valuable in scenarios like due diligence reviews, where recent digital agreements and older scanned records need to be analyzed together. Copilot processes each file based on its type and consolidates the data into a comprehensive overview, saving time and effort.
To get the most out of mixed-document analysis, organize your queries strategically. Start with broad questions to identify key themes, then narrow down to specific details. For example, you could compare pricing details in a digital contract with those in a scanned invoice, cutting down on the manual effort required for such tasks. This approach is widely applicable across a range of professional fields.
Real Examples of OCR and Summary Use Cases
These workflows offer practical benefits across various industries:
- Legal Document Review: Law firms can upload scanned court filings, depositions, and historical contracts alongside digital correspondence. Copilot helps pinpoint key dates, parties, and clauses, significantly speeding up the review process.
- Financial Auditing: Auditors can work with scanned invoices, bank statements, and receipts alongside digital financial reports. Copilot extracts crucial details like amounts and dates, making it easier to spot discrepancies and detect patterns.
- Academic Research: Researchers can combine scanned archival documents with modern digital publications to study trends, shifts in terminology, or recurring themes over time.
- Insurance Claims Processing: Claims adjusters can upload scanned damage reports, handwritten estimates, and digital photos. Copilot summarizes damages, flags inconsistencies, and highlights coverage gaps for faster claims resolution.
- Real Estate Due Diligence: Property investors can process scanned deeds, inspection reports, and tax records along with digital market analyses and financial projections. Copilot helps summarize property histories and identify potential issues or financial considerations.
For these workflows to succeed, it’s essential to keep files well-organized, use effective queries, and carefully verify the extracted details to ensure accuracy and reliability.
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Connecting Research Results with Microsoft Teams

After using OCR to process documents and summarizing them with Microsoft 365 Copilot, you can share these insights directly in Microsoft Teams. Teams acts as a central hub where research findings evolve into collaborative discussions and actionable decisions. This seamless integration turns individual insights into collective progress.
Sharing Document Summaries in Teams Channels
Uploading PDFs into Teams channels is a simple way to kickstart collaboration. Just drag and drop a document into a channel conversation, and team members can immediately access it. From there, they can generate their own summaries with Copilot or ask targeted questions about the content. This setup allows for quick reviews and input from multiple stakeholders.
For maximum clarity, include a brief message with the uploaded document that explains its context. For example, highlight specific clauses or topics that need attention. This approach not only guides the discussion but also creates a searchable record of research activities within the channel.
Using nBold Templates for Research Projects

nBold templates simplify research projects by providing pre-built team structures with ready-to-use channels, file repositories, and governance settings. These templates streamline efforts by organizing dedicated spaces for planning, compliance, and analysis.
Additionally, nBold templates come with centralized file management. Key documents – such as work plans, guidelines, or compliance policies – are pre-uploaded to designated SharePoint sites. These sites integrate directly into Teams as tabs, giving your team instant access to a comprehensive knowledge base. By using Copilot’s summarization tools within these templates, you can further align your research process across platforms.
Task management is also built into these templates, thanks to Microsoft Planner integration. Pre-configured checklists and task categories ensure that workflows are organized and compliance is monitored effectively. This structured approach allows your team to move quickly from gathering information to making decisions.
Team Decision-Making with Document Summaries
Copilot-generated summaries provide a consistent starting point, helping teams make quick, informed decisions without needing to read entire documents.
During Teams meetings, these summaries can be referenced to highlight key points and tackle complex issues. Even team members who haven’t reviewed the documents in advance can use the summaries to catch up and contribute meaningfully.
To streamline decision-making further, teams can create standardized questions for specific document types. For instance, financial teams might routinely assess budget impacts and risks, while legal teams could focus on liability concerns and regulatory requirements. This consistent approach ensures that all critical factors are addressed, combining insights from both recent findings and historical data to make well-informed decisions.
Managing Costs and Best Practices for OCR and Copilot
Streamlining research processes not only saves time but also helps cut down on processing expenses. By implementing smart strategies, you can boost productivity while keeping OCR and summarization costs in check.
Calculating Costs and Tracking Usage
Microsoft 365 Copilot includes OCR and PDF summarization as part of its per-user licensing, but costs depend on how much processing is done and the complexity of the documents. For example, low-quality scans or handwritten documents may require more resources to process effectively.
To keep tabs on usage, administrators can rely on the Microsoft 365 Admin Center. It provides detailed reports on how often Copilot features are used, helping you identify high-demand areas. This data can be used to adjust workflows or provide additional training where necessary.
Since processed documents generate metadata stored in SharePoint and OneDrive, it’s also important to plan storage needs to accommodate this data growth.
These insights form the backbone of cost-efficient OCR strategies.
Getting the Most Value While Controlling Costs
To manage expenses, limit OCR functionality to high-traffic SharePoint sites or specific OneDrive folders. High-quality scans lead to better OCR accuracy and use fewer resources, so it’s worth standardizing scanning practices. Use higher resolution and clear, high-contrast settings to improve results.
For better performance, consider batch processing during off-peak hours to reduce system strain.
If your research projects follow similar patterns, tools like nBold templates – priced at $3.00 per user per month – can help standardize workflows and predict OCR usage trends.
Best Practices for Research Organization
Once you’ve implemented cost management strategies, organizing your research files is key to maintaining efficiency and keeping expenses under control. Start by creating a well-structured document hierarchy in SharePoint. For instance, set up separate libraries for raw scans, OCR-processed files, and finalized summaries. This setup not only aids in tracking costs but also makes it easier for your team to locate specific files.
Use consistent naming conventions to streamline file management. Prefixes such as "RAW_", "OCR_", and "SUM_" can indicate the document’s processing stage, reducing the risk of duplicate efforts.
Take advantage of SharePoint’s version history to maintain control over document edits. This feature allows you to track changes and revert to earlier versions when needed.
Define access permissions based on team roles. Restrict OCR processing capabilities to those who frequently handle scanned documents, which helps manage resource use more effectively.
Schedule regular reviews to archive completed projects and delete duplicate or low-quality files. This keeps storage costs down and ensures your system runs smoothly.
For added oversight, nBold’s governance features can help ensure compliance with organizational policies and regulatory standards. These tools provide built-in compliance management, making it easier to align document processing with your company’s requirements.
Finally, invest in training and standardized workflows to maintain cost control across all projects. Start by focusing on key team members who handle large volumes of research materials, and then gradually expand access as best practices become established. This approach ensures long-term efficiency and cost management.
Conclusion: Transform Your Research with Microsoft 365 Copilot
Microsoft 365 Copilot is reshaping how professionals tackle research-intensive tasks with its OCR and PDF summarization features. Gone are the days of painstakingly pulling text from scanned documents or wading through lengthy reports. These tools streamline the process, turning complex information into clear, actionable insights.
The time saved is a game-changer. What used to take hours of manual effort can now be done in minutes. Copilot’s OCR technology handles everything from handwritten notes to intricate technical diagrams, while its summarization engine highlights the most important findings and recommendations automatically.
It’s not just about efficiency – it’s about teamwork too. With document summaries easily shared in Microsoft Teams channels, everyone on the team stays on the same page without having to sift through every document. This makes collaboration smoother and ensures decisions are backed by concise, well-organized information.
FAQs
How does Microsoft 365 Copilot’s OCR feature help professionals manage documents more efficiently?
Microsoft 365 Copilot’s OCR feature makes handling documents easier by extracting text from images or scanned files and turning it into an editable digital format. This means no more tedious manual transcription, cutting down on both time and mistakes.
With paper documents digitized in seconds, professionals can quickly search, edit, and share information. This speeds up workflows and makes team collaboration smoother and more efficient.
What challenges can arise when using OCR with Microsoft 365 Copilot, and how can users improve accuracy?
When using OCR with Microsoft 365 Copilot, several challenges can arise. These include dealing with poor image quality, struggling to recognize unusual fonts or handwritten text, and handling complex document layouts. Factors like low-resolution scans, bad lighting, or cluttered designs can all impact how accurately text is extracted.
To get better results, start with high-quality images or scans. Use proper lighting and high-resolution equipment to capture clear visuals. You can also apply pre-processing techniques, such as boosting contrast or reducing noise, to clean up the image. For the best accuracy, choose OCR tools that work well with many fonts, languages, and document types.
How can teams use Microsoft 365 Copilot to simplify research and summarize documents?
Microsoft 365 Copilot makes research workflows more efficient with its built-in summarization tools. The Researcher feature helps users pull key information from sources like scanned documents, lengthy PDFs, or web content and condense it into clear, concise summaries based on specific questions.
This feature doesn’t just save time – it also improves teamwork by offering structured insights that teams can share effortlessly. Plus, it works seamlessly with other Microsoft 365 tools, making it a flexible option for professionals handling large amounts of information.