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

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Aug 6th, 2022
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How to Extract Data from Invoices using AI in Travel industry and streamline your document management tasks with DocHub

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Handling business paperwork can be burdensome and time-consuming, even with comprehensive but old-fashioned working editors. However, tools assisted by Artificial Intelligence functionality can make your work much easier. Consider DocHub to Extract Data from Invoices with AI in Travel industry and get your forms properly modified within just minutes.

Take these steps to Extract Data from Invoices using AI in Travel industry in our editor:

  1. Log in to your account or sign up if you don’t have one.
  2. Upload your Invoices from your device or cloud storage.
  3. Open your file in the editor and launch its AI assistant.
  4. Click the appropriate button to Extract Data from your paperwork.
  5. Check the AI DocHub robot’s work and apply other important edits wherever necessary.
  6. Make sure you have everything as it should be, and save your document changes.

New technologies give more advanced possibilities for individuals and businesses in different fields, including Travel industry. Make the most of AI-powered editing capabilities offered by DocHub and complete your document management tasks effectively and with minimum time. Get started 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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Open Microsoft Word from the Start menu or a shortcut on your desktop. Open the PDF file that you want to convert in docHub Reader. Click Select from the docHub Reader toolbar at the top of the screen. Click on the text that you want to extract in the PDF. Click Edit on the docHub Reader toolbar and select Copy.
Export PDF data to Excel using docHub Open a PDF file in Acrobat. Click on the Export PDF tool in the right pane. Choose spreadsheet as your export format, and then select Microsoft Excel Workbook. Click Export. If your PDF documents contain scanned text, Acrobat will run text recognition automatically.
Invoice Extraction using NER Named Entity Recognition (NER) is a natural language processing technique that can be used to extract structured information from unstructured text. In the context of invoice extraction, NER can be used to identify key entities such as invoice numbers, dates, and amounts.
Extract text from PDF/Images with Optical Character Recognition(OCR) OCR technology helps scan a document, regardless of whether it is made of text or images, for signs of text. It uses pattern recognition algorithms to recognize whether any part of a document might be an alphabet, number, or character.
Invoice Extraction using NER Named Entity Recognition (NER) is a natural language processing technique that can be used to extract structured information from unstructured text. In the context of invoice extraction, NER can be used to identify key entities such as invoice numbers, dates, and amounts.
To extract fillable fields in a PDF, select a completed document as a template and click Extract in Bulk on the right pane. Define the fields with data you would like to extract. Enter a field name to easily identify the extracted information in an Excel Spreadsheet.
Extraction With Online PDF Converters Another way to process invoices is by means of online PDF converters also called online OCR (Optical Character Recognition) tools like Smallpdf and Cometdocs. They convert your PDFs into a text which allows you to then just copy this text and paste it where you need.
Use OCR technology: OCR technology can help to extract text from scanned PDFs, making it possible to extract data from documents that were not originally created digitally. OCR can extract data from PDFs produced from scanned handwritten notes or typed documents.

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