Explore DocHub’s ChatGPT-assisted features to Extract Data from Certificate with AI in IT industry

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Aug 6th, 2022
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01. Upload a document from your computer or cloud storage service.
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02. Modify your document or let the ai PDF editor summarize, rewrite, or proofread your PDF.
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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 use DocHub’s functionality to Extract Data from Certificate using AI in IT industry

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Typical online editors can help professionals in IT industry with simple document management tasks. However, an up-to-date AI-driven solution like DocHub provides more opportubities and helps complete your work faster. Select our ChatGPT-powered tool to Extract Data from Certificate and other business paperwork - you’ll get the desired results in minutes!

Explore the quick guideline below to Extract Data from Certificate with AI in IT sector:

  1. Register an account in DocHub and sign in after its verification.
  2. Add the Certificate to the editor utilizing one of the available upload options.
  3. Start the ChatGPT assistant and choose the tool that lets you Extract Data from your document.
  4. Look through the updates proposed by Artificial Intelligence.
  5. Make edits where necessary, and verify at least once more prior to submitting.
  6. Add your signature and request it from other people if your form requires approval.
  7. Click on Menu to download, export, or share your professional paperwork.

Whatever your document management needs, you can rely on our modern solution and complete your tasks in clicks. Give it a try now!

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Below are some common questions from our customers that may provide you with the answer you're looking for. If you can't find an answer to your question, please don't hesitate to reach out to us.
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Data extraction is the process of obtaining raw data from a source and replicating that data somewhere else. The raw data can come from various sources, such as a database, Excel spreadsheet, an SaaS platform, web scraping, or others.
Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. It involves identifying and retrieving specific data points such as invoice and purchase order (PO) numbers, names, and addresses among others.
The real value of document automation comes from its ability to combine data from multiple sources such as CRM, analytics software, content repositories, and bring that information together to assemble relevant assets.
Document Automation extraction is based on object detection. During document processing, the extraction engine identifies objects, or key-value pairs of the field and associated value.
There are broadly two ways to extract data from heterogeneous sources: logical extraction and physical extraction. Both methods involve crawling and retrieving data, but they differ in how the data is collected and processed.
Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. It involves identifying and retrieving specific data points such as invoice and purchase order (PO) numbers, names, and addresses among others.

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