Extract data from image on Desktop quickly

Aug 6th, 2022
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01. Upload a document from your computer or cloud storage.
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02. Add text, images, drawings, shapes, and more.
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03. Sign your document online in a few clicks.
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04. Send, export, fax, download, or print out your document.

How to extract data from image on Desktop with DocHub

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DocHub is a versatile online platform designed to streamline document management processes, including editing, signing, distribution, and forms completion. With its seamless integration with Google Workspace, users can effortlessly import and export documents, ensuring a smooth workflow. Whether you need to modify a document or extract data from an image, our editor provides the tools necessary to enhance your productivity—all for free.

Follow the steps to extract data from an image on Desktop

  1. Open the DocHub website and log in to your account.
  2. Once logged in, navigate to the section where you can upload files. Select the image from which you want to extract data.
  3. After the image loads in the editor, look for the option that allows you to initiate the data extraction. This usually involves selecting specific areas of the image.
  4. Use the editor's features to highlight the text or data you wish to extract. Ensure that the selections are precise for optimal results.
  5. Once you have made your selections, confirm the extraction process. The platform will convert the selected data into editable text.
  6. Review the extracted data for accuracy, and make any necessary adjustments directly in the editor.
  7. Finally, you can download the edited document, print it, or share it via email or link, completing the process efficiently.

Start extracting data from images seamlessly with DocHub today!

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How to extract data from image on Desktop

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33 votes

Today we will be extracting data from PDFs using Power Automate and regular expressions. We will focus on extracting the institution name, the RSSD ID, and data from tables in the PDFs. The tutorial will include a step-by-step demo using public data obtained from the web. The process will involve identifying and extracting information from both simple and complex sections of the PDFs. The flow will load the extracted data into Excel for easy access and analysis.

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