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How to create PDF Signature Box using iTextSharp i ...
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OCR and PDF Data Extraction in Microsoft Power Automate
OCR and PDF Data Extraction in Microsoft Power Aut ...

Introduction to Microsoft Power AutomatePower Automate, formerly known as Microsoft Flow, is a cloud-based service offered by Microsoft to help users create and automate workflows across multiple applications and services. Its aim is to boost user productivity in business processes and automate repetitive manual tasks.Using Power Automate, you can design workflows that connect to over 300 services, such as SharePoint, Outlook, Excel, OneDrive, Dynamics 365, and third-party applications like Twitter, Dropbox, and Google Services. With these workflows, you can, for instance, automatically save email attachments to OneDrive or alert your team about specific tweets.It allows conditional logic (if...then...else statements), which makes it more than just a task automation tool, but also a potent business process automation platform. It can handle complex scenarios, not just single task automation.Power Automate offers pre-built templates for common tasks, reducing the technical barrier for non-programmers. However, it also provides robust tools for developers to create more complex automations.Overall, Power Automate is a powerful tool for improving efficiency, reducing errors and saving time by automating business tasks and processes.Document Automation Workflows in Power AutomateDocument automation workflows in Power Automate represent one of its most compelling features, enabling businesses to automate repetitive document management tasks, enhance efficiency, and reduce the possibility of human errors.At its core, Power Automate allows you to create and manage workflows involving documents, including generating, editing, sharing, and storing. This can involve Microsoft services like Word, Excel, and SharePoint, or third-party services like Google Docs, Adobe PDF, and Dropbox. This cross-platform functionality is a key strength, enabling diverse document workflows.For instance, an approval workflow could be created, automating the process of document approval. Here, Power Automate can detect when a new document is added to a SharePoint folder or a OneDrive directory. It can then automatically send an email to the appropriate person with a link to the document for review. Once the document is approved or rejected, the status can be updated, and notifications sent to relevant stakeholders.Another example could be a document generation and storage workflow. Data from Microsoft Forms or Dynamics 365 could be used to automatically generate documents in Word or Excel. The created document could then be converted into a PDF and stored in a specific SharePoint folder or sent via email.Document automation also extends to areas like data extraction and integration. Power Automate can connect with Nanonets, enabling users to extract specific data from a document, such as invoice or receipt details, and automatically update a record in Dynamics 365 or an Excel spreadsheet.Moreover, Power Automate’s flexibility also allows developers to handle more complex scenarios. Custom connectors can be created to interact with services not directly supported by Power Automate. Error handling and conditional logic can be implemented to account for different workflow outcomes.In conclusion, Power Automate's document automation workflows can transform time-consuming manual processes into efficient automated tasks, freeing employees to focus on more value-driven activities. Its versatility, simplicity, and deep integration with various services make it a vital tool for any organization seeking to streamline their document management processes.OCR and PDF Data Extraction in Power AutomateNanonets is a powerful tool which offers pretrained data extraction models that can extract useful data from documents. We support all common document types, and can easily train specialized models custom document types. Leveraging Nanonets API in Power Automate opens up possibilities for developing highly efficient automated workflows, particularly in document data extraction.To understand this, let's look at a common business scenario. Imagine a company receives a large volume of invoices daily. With Nanonets and Power Automate, you could automate the process of extracting the necessary data from these invoices and store it in a database or use it in another application like Dynamics 365.Here's a step-by-step exampleAn invoice document is received and uploaded to a SharePoint folder or received as an email attachment in Office 365 Mail.A Power Automate workflow triggers upon the addition of this new document. Using the "When a file is created" or "When a new email arrives" trigger, Power Automate can automatically detect the new invoice.The workflow then sends the document to the Nanonets API via a HTTP POST request. This could be done by using a Custom Connector or the built-in HTTP action in Power Automate.Nanonets processes the document with its machine learning model, specifically trained for invoice data extraction, and returns the extracted data in a structured format, like JSON.The Power Automate workflow receives this data and can then parse and use it as required. This could involve updating an Excel spreadsheet, creating a new item in a SharePoint list, or updating a record in Dynamics 365.In the Dynamics 365 context, Nanonets' ready-to-use integration with Dynamics 365 would make the process even more seamless. Let's explore another scenario to illustrate thisAn invoice document is uploaded into Dynamics 365 as an attachment to a specific record.A Power Automate workflow is triggered based on this action. The workflow then sends the invoice document to the Nanonets API for processing, taking advantage of the ready-to-use integration that Nanonets offers with D365.Once the data is returned from Nanonets, the workflow then parses the structured data and updates the relevant fields in the Dynamics 365 record. This could include details like the invoice number, date, total amount, etc.These workflows help to automate what can typically be a labor-intensive process, saving significant amounts of time and reducing the risk of human error. Moreover, they leverage the power of machine learning to accurately extract required data, even from complex or varying invoice formats.In addition to invoices, this process can be applied to a range of other document types - receipts, purchase orders, delivery notes, etc. Each document type would require a machine learning model trained for that specific document, which Nanonets is capable of providing.Nanonets' integration with Power Automate and Dynamics 365 opens up significant possibilities for businesses looking to automate their document data extraction workflows. These integrations make it easier for organizations to harness the power of machine learning in their everyday processes, leading to greater operational efficiency and accuracy.Here are a variety of examples showcasing how Nanonets can be utilized in Power Automate for different automated document data extraction workflowsExpense Reports Scan uploaded receipts in SharePoint, extract data with Nanonets, and automatically populate an Excel sheet for expense tracking.Contract Management Upload contracts to a specific OneDrive folder, extract key details like parties involved, dates, and clauses using Nanonets, and update a SharePoint list for contract management.Invoice Processing Send invoices received via email to Nanonets for data extraction, and use the returned data to create or update records in Dynamics 365 Finance.Order Fulfillment Extract data from purchase orders uploaded to a Teams channel using Nanonets, and trigger a Power Automate workflow to create a new order in Dynamics 365 Supply Chain Management.HR Onboarding When new employee documents are added to a SharePoint folder, extract key details like name, job title, and start date with Nanonets, and then create a new employee record in Dynamics 365 Human Resources.Customer Correspondence Extract key information from customer letters or emails using Nanonets, and automatically create or update a customer service case in Dynamics 365 Customer Service.Project Management When a new project proposal is added to a Teams channel, use Nanonets to extract key details like project title, proposed timeline, and budget, and create a new project record in Dynamics 365 Project Operations.Sales Lead Generation Extract data from business cards using Nanonets and use the returned data to create new leads in Dynamics 365 Sales.Insurance Claims When an insurance claim form is uploaded to a SharePoint folder, extract the claim details with Nanonets, and update a claim record in a custom-built Power App.Health Records When medical documents are uploaded to a secure OneDrive folder, extract patient data with Nanonets, and update the patient's record in a healthcare management application.How to set up Nanonets in Power AutomateSetting up Nanonets in Power Automate involves building a custom connector. Here is a step-by-step guide to creating a custom connector for the Nanonets API1. Get your API Key from NanonetsThe first step is to generate an API key from your Nanonets account. This key will be used to authenticate your requests to the Nanonets API. You can find instructions on how to get your API key here.2. Create a custom connector in Power AutomateNavigate to https//flow.microsoft.com and sign in to your account.From the left navigation bar, select "Data" and then "Custom connectors".Click "+ New custom connector" and choose "Create from blank".Give your connector a name and click "Continue".3. Set up the general detailsFor "Scheme", choose "HTTPS".In the "Host" field, enter the Nanonets API base URL (it should be something like "app.nanonets.com").Click "Security" in the navigation panel on the left.4. Set up the security details and connector actionsNote For this section, you can use the Nanonets API Documentation to configure the security and action details.Define the security details. You can use the api-key authentication method to authenticate using your API key.Create a New Action.Define and fill details of your Nanonets model prediction endpoint to create the action.6. Test the connectorClick "Test" in the navigation panel on the left.You may need to create a new connection. If so, click "+ New connection".Choose an action to test, fill in any required inputs, and click "Test operation".Once the custom connector is set up, you can use it in your Power Automate flows just like any other connector. You'll be able to choose the actions you defined for the connector and use the data returned from Nanonets in other actions within your workflow.Nanonets OCR for Automated Workflows in Power AutomateIn conclusion, Nanonets OCR is a powerful addition to Power Automate's arsenal of automation capabilities, providing opportunities to streamline and improve document data extraction processes in workflows. Its powerful machine learning algorithms are designed to decipher text from various document types accurately, offering a solution that goes beyond traditional OCR technology by learning from the data it processes and improving over time.With Power Automate's flexible and robust platform, incorporating Nanonets OCR into automated workflows becomes a relatively straightforward process. Power Automate's ability to create custom connectors allows integration with Nanonets API, opening up a multitude of use cases. Whether it's extracting information from invoices, contracts, purchase orders, medical records, or any other type of document, the combined capabilities of Power Automate and Nanonets OCR can handle it.One of the key strengths of this integration is its ability to significantly reduce manual data entry and associated errors. By automating the data extraction process, businesses can improve the accuracy of their data and free up employees' time to focus on more value-added tasks.Furthermore, Nanonets' ready-to-use integration with Microsoft Dynamics 365 enhances the ability to directly apply the extracted data into various business applications, providing an end-to-end solution for document data extraction workflows.In a business environment increasingly leaning towards automation and digital transformation, tools like Power Automate and Nanonets OCR are becoming essential. They not only provide automation capabilities but also harness the power of machine learning, resulting in smarter, more efficient, and error-free business processes.Power Automate's accessibility and Nanonets' powerful OCR functionality are a potent combination that can significantly impact businesses. As we continue to witness the digital transformation of various industries, the integration of these two platforms will undoubtedly play an influential role in shaping efficient, automated, and intelligent business workflows.


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Best OCR and PDF Data Extraction Integrations for OneDrive in 2023
Best OCR and PDF Data Extraction Integrations for ...

IntroductionOneDrive is Microsoft's cloud storage solution that allows users to save files and personal data like Windows settings across all their Windows PCs. It also offers a simple way to store, sync, and share various types of files, with others, and across multiple devices.A major advantage of OneDrive is its seamless integration with Microsoft products like Windows 10 and Office 365. This means files created in Word, Excel, or PowerPoint can be saved directly to OneDrive and accessed from anywhere. It also supports multiple platforms, being available on web browsers, Windows, Mac, iOS, and Android.OneDrive provides robust sharing and collaboration features, allowing users to share files or folders with others, even if they don't have a Microsoft account. Shared files can be collaborated on in real-time, similar to Google Drive.Microsoft has invested heavily in security, making OneDrive a safe place to store your files. It uses encryption for data both at rest and in transit, and it provides recovery options in case of accidental deletion or malicious attacks.Why OCR and Document Data Extraction is needed in OneDriveOptical Character Recognition (OCR) and document data extraction are valuable tools for organizations and businesses that use OneDrive. These technologies help improve productivity, ensure compliance, and provide valuable insights from the vast volumes of unstructured data that many organizations produce and store on OneDrive.Improved Productivity OCR and document data extraction in OneDrive can significantly enhance productivity. For instance, an organization may receive thousands of invoices, contracts, and other documents daily. Manual data entry can be time-consuming, error-prone, and inefficient. However, with OCR, documents can be scanned, and relevant data extracted quickly. For example, a retail company can use OCR to extract data from invoices sent by suppliers, significantly reducing the time and resources required to process these documents.Better Searchability Without OCR, searching through scanned documents or images in OneDrive can be near impossible because the content is essentially seen as a picture by the system, not searchable text. OCR technology allows text recognition in scanned documents and images, making them searchable. This means an HR firm could easily locate specific information within thousands of resumes, contract agreements, or employee records stored on OneDrive without going through each file manually.Ensuring Compliance For industries like healthcare, finance, and legal, where certain documents must be retained for a specific period due to regulatory requirements, OCR and document data extraction can be instrumental. By digitizing documents through OCR, an audit trail is created, making it easier to demonstrate compliance with records retention laws. Additionally, extracting specific data such as dates, signatures, or specific clauses from these documents can aid in ensuring legal and regulatory compliance.Enhanced Accessibility OCR allows businesses to convert non-accessible documents into an accessible format. By doing so, they make information available to all individuals, including those with disabilities. A university, for instance, can make academic resources more accessible to visually impaired students by using OCR technology on scanned books and resources stored on their OneDrive.Data Analysis and Insights Document data extraction can convert unstructured data into structured data that can be analyzed. Businesses can gain insights from this data to inform strategic decisions. For example, a marketing agency can analyze customer feedback forms stored on OneDrive, using OCR and data extraction to identify trends and insights about customer preferences or satisfaction.Cost Savings With manual data entry, the chances of errors are high, leading to potential financial losses. OCR and data extraction offer a more accurate solution, reducing such losses. An accounting firm could avoid costly errors in financial statements or tax filings by using OCR technology to input data.Business Continuity In the event of a physical disaster, important documents can be lost if they aren't digitally stored. By using OCR to digitize documents and storing them on OneDrive, businesses ensure continuity since the information can be accessed from anywhere at any time. A law firm could maintain continuous access to critical case files this way, even if their physical offices are inaccessible.In conclusion, OCR and document data extraction provide essential functionalities that enhance the value of storing and managing documents on OneDrive for businesses and organizations. By embracing these technologies, these entities can improve efficiency, ensure compliance, gain valuable business insights, and much more.Examples of OCR based Document Workflows in OneDriveHere are some examples of document workflows you can implement by integrating Nanonets with OneDrive. Sure, here are several examples of Optical Character Recognition (OCR) based document workflows in OneDrive. Each of these workflows starts with the uploading of a document to OneDrive, uses Nanonets for the extraction of valuable data using OCR technology, and concludes by using the extracted data in a further step to complete the automated workflow.Invoice Processing WorkflowAn invoice is received from a vendor and is uploaded to OneDrive.The OCR system recognizes the document type based on certain features or layouts.It then proceeds to extract key data from the invoice such as vendor name, invoice date, invoice number, line item details, and total amount.This data is then cross-verified with the company's purchase order system to ensure accuracy.If any discrepancies are found, the invoice is flagged for manual review; otherwise, it's ready for payment processing.Human Resources (HR) Document WorkflowHR scans or uploads a job applicant's resume or application form to OneDrive.The OCR system reads the document and extracts relevant information such as the applicant's name, contact information, education, skills, and work history.The extracted data is then used to update the applicant tracking system (ATS) or HR management system automatically.Medical Record WorkflowHealth practitioners upload a patient's medical records or test reports to OneDrive.OCR technology scans the documents, recognizing and extracting relevant patient information such as name, age, medical history, diagnosis, and prescribed treatment.This data is then seamlessly integrated into the patient's digital health record system, enhancing quick access and improving patient care.Contract Management WorkflowA signed contract is scanned and uploaded to OneDrive.The OCR system scans the document, identifying it as a contract and extracting crucial data like contract parties, effective dates, key clauses, and obligations.This extracted data is then transferred into the contract management system for tracking and managing key dates, obligations, and other pertinent details.Insurance Claim WorkflowAn insurance claim form is scanned or photographed and then uploaded to OneDrive.OCR technology processes the claim form, extracting essential information such as policy number, claimant details, claim type, and details of the incident.The data is then populated into the insurance management system, triggering the claims review process.In each of these workflows, the use of OCR not only saves time and improves efficiency but also reduces the risk of data-entry errors. This allows companies to process a large volume of documents more accurately, efficiently, and cost-effectively.How to set up Nanonets OCR with OneDriveSign up / login into https//app.nanonets.com.2. Choose a pretrained model based on your document type / create your own document extractor within minutes.3. Once you have created your model, go to the workflow section of your model.4. Go to the import tab.5. Select OneDrive from the "Browse all import options" modal.6. Authenticate your Microsoft OneDrive Account.7. Choose the folder you want to import from.8. Click on Add integration.The integration will be added to your OneDrive account. Based on the folder you selected, all new and incoming files in that folder will be imported into Nanonets and will be processed by your model which will extract structured data from it. You can also extend the workflow by adding postprocessing, validation / approval rules, exports to software / database of your choice.Nanonets' OneDrive Integration for Automated Document WorkflowsNanonets' OneDrive integration stands as an innovative tool that significantly simplifies and improves the document workflow, rendering the traditional, time-consuming, and error-prone manual processes obsolete. This remarkable system seamlessly combines the sophisticated AI capabilities of Nanonets with the simplicity and convenience of OneDrive.This integration allows businesses to automate their document workflows, making it a perfect fit for the modern enterprise seeking efficiency, accuracy, and agility. With the integration of Nanonets into OneDrive, businesses can quickly and easily handle document scanning, data extraction, and analysis, streamlining their digital transformation journey.Once your documents are stored in OneDrive, Nanonets’ AI-powered solution steps in to extract, process, and analyze the data these documents contain. The system effectively handles numerous document formats such as invoices, receipts, purchase orders, and even handwritten notes. The flexible and adaptive model learns and improves over time, becoming increasingly proficient at extracting data even from complex or low-quality documents.The AI model doesn't just simplify data extraction. It's also designed to understand the context and classify the information accordingly. Whether it's categorizing expenses based on the data in your receipts or updating inventory details from scanned purchase orders, Nanonets’ solution streamlines data handling, allowing more time for strategic business activities. By using this integration, you are able to avoid the tedious manual data entry process, reducing human error and improving overall operational efficiency.Furthermore, the integration of Nanonets and OneDrive comes with another significant advantage – accessibility. Thanks to OneDrive's robust cloud storage capabilities, you can access your processed and organized data anytime, anywhere. This, coupled with the integration's ability to automate document workflows, ensures that your data is not just secure but also easily available when needed.However, the real beauty of the Nanonets’ OneDrive integration lies not just in its automation capabilities but also in its scalability. No matter how much your document workload grows, the system can scale accordingly, ensuring the same level of efficiency and accuracy.Lastly, but equally important, the Nanonets’ OneDrive integration aligns with data privacy standards, ensuring the security of your data. The system strictly adheres to data privacy regulations such as GDPR, maintaining the confidentiality of the data while it is being processed.In conclusion, the Nanonets’ OneDrive integration for automated document workflows is a game-changer for businesses. It offers a robust solution to automate, accelerate, and enhance document workflows, paving the way towards a truly digital workspace. The simplicity and efficiency that this integration provides are invaluable in the fast-paced modern business environment. Whether your enterprise is in the early stages of its digital transformation journey or is already a digital pioneer, the Nanonets’ OneDrive integration can significantly streamline your document workflow, helping you save time, reduce costs, and focus on what really matters – growing your business.


OCR and PDF Data Extraction in Microsoft SharePoint
OCR and PDF Data Extraction in Microsoft SharePoin ...

Introduction to SharePointSharePoint, developed by Microsoft, is a web-based platform offering a versatile suite of tools designed to optimize and streamline document and file sharing, collaboration, and management within businesses and organizations. It enables a centralized, secure, and easily accessible repository for information.Traditionally used as an intranet and content management system, SharePoint also provides a robust framework for creating customized applications. It boasts impressive integration with other Microsoft products like Teams and Office 365, enhancing the seamless workflow of data and communication.One of its key strengths is the ability to create collaborative environments or workspaces for teams. Team members can co-author documents in real-time, share data, and manage tasks, fostering effective collaboration and boosting productivity. SharePoint's version control and approval workflows also reduce the risk of data loss or unapproved changes.On the security front, SharePoint offers powerful data protection features, including encryption, access control, and compliance settings, ensuring sensitive information remains confidential.However, SharePoint requires meticulous planning for successful implementation and may pose a learning curve for some users, making proper training essential. Despite this, its robust features make SharePoint a valuable tool for any business in the digital age.Automated OCR and Document Data Extraction workflows in SharePointThe world is increasingly moving towards digitization. In this context, Optical Character Recognition (OCR) and Document Data Extraction play a crucial role, especially in platforms like SharePoint, which is widely used by businesses for collaboration and document management.OCR is a technology that converts different types of documents, such as scanned paper documents, PDF files or images captured by a digital camera, into editable and searchable data. This is particularly useful when dealing with large volumes of data, where manual data entry is time-consuming and prone to errors.For instance, a law firm may have thousands of contracts in their SharePoint repository. With OCR, they can quickly convert these scanned contracts into searchable text, enabling them to find relevant information swiftly. Similarly, an accounting department could utilize OCR to digitize receipts and invoices stored in SharePoint, making it easier to extract important financial data for analysis and auditing.Document data extraction goes hand-in-hand with OCR. While OCR makes a document searchable, data extraction retrieves specific information from these documents. For instance, extracting dates, names, amounts, addresses, or specific clauses from contracts, invoices, or forms.An AI-based tool like Nanonets can be used in conjunction with SharePoint for this purpose. Nanonets' OCR and data extraction capabilities can help automate routine tasks, enhancing productivity, and reducing errors. With the right setup, end-to-end workflows can be created that are practical and relevant to various real-life scenarios. Below are a few examplesWhile creating a workflow on https//app.nanonets.com, you can choose to import from a SharePoint directory to extract data from incoming documents, and then export the extracted data using our export integrations with various software / ERPs and databases.Invoice Processing Companies receive numerous invoices daily. By integrating Nanonets with SharePoint, these invoices can be automatically scanned, data like invoice number, date, total amount, etc., can be extracted, verified, and then uploaded to an accounting software, say Quickbooks, for further processing.Resume Screening HR departments often have to sift through hundreds of resumes. With SharePoint and Nanonets, resumes can be automatically parsed and important information like name, contact information, work history, and skills can be extracted and analyzed to shortlist potential candidates.Contract Management Businesses often need to manage and review multiple contracts. Nanonets can extract key contract terms, dates, and obligations, which can then be saved in SharePoint and linked to a calendar for reminders on key dates.Medical Record Analysis Hospitals and healthcare institutions often need to analyze patient records. SharePoint can store these documents, while Nanonets can extract patient information, diagnosis, prescriptions, etc. This can help in trending analysis, predicting patient outcomes, and offering better healthcare services.Claims Processing Insurance companies often receive a large number of claims in various formats. Using OCR and data extraction, the relevant data can be pulled from these documents and fed into a case management system for further processing.These are just a few examples. The combination of SharePoint and Nanonets, using OCR and Document Data Extraction, can create powerful workflows that save time, reduce errors, and increase operational efficiency across numerous sectors. This technology partnership is more than a luxury; it's fast becoming a necessity for businesses that want to stay competitive in the digital age.How to Set up Nanonets OCR in SharePointSign up / Login on https//app.nanonets.com.Choose a pretrained model based on your document type / create your own document extractor within minutes.Once you have created the model, navigate to the Workflow section in the left navigation pane.Go to the import tab.Select SharePoint from the "Browse all import options" modal.6. Authenticate your Microsoft SharePoint Account.7. Choose the directory you want to import from.8. Click on Add integration.The integration will be added to your SharePoint account. Based on the folder you selected, all new and incoming files in that folder will be imported into Nanonets and will be processed by your model which will extract structured data from it. You can also extend the workflow by adding postprocessing, validation / approval rules, exports to software / database of your choice.Nanonets' SharePoint Integration for Automated Document WorkflowsIn conclusion, the Nanonets' SharePoint integration is a neat way to set up automated document workflows. The integration enhances document management by automating classification, extraction, and routing of data, thereby eliminating manual errors and boosting productivity. It offers unrivaled compatibility with SharePoint's extensive document management capabilities, allowing businesses to leverage advanced data processing within a familiar platform. Furthermore, the intuitive design and user-friendly interface of Nanonets mean that businesses, regardless of their size or tech-savviness, can seamlessly adapt and benefit from the service. By adding a layer of intelligence to the SharePoint ecosystem, Nanonets propels businesses into a new era of efficiency and accuracy.


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