Easily Extract Data from ODT with AI

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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 Extract Data from ODT files with the help of Artificial Inteligence and saving time

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Working with paperwork in any file format is easier when your editor offers the AI functionalities. When working with a smart editor like DocHub, you can even complete your editing tasks with any document format using AI. This kind of functionalities powered with AI reduce the time you need to spend on any separate document, so you just need to add your file to the system and leave the rest to the algorithm. See how trouble-free editing can be with DocHub.

How to Extract Data from ODT using AI

  1. Sign in to your DocHub account. If you do not have one yet, click the Create free account button and register.
  2. Go to your dashboard and choose the most convenient method to add your file.
  3. Start the AI robot.
  4. Choose the Extract Data from feature.
  5. Review the modifications to see if they match your requirements. If needed, make corrections.
  6. Save your file. You can preserve it in your account or download it on your computer.

Extract Data from ODT using AI and reduce the time needed to modify every particular file. You can make all the modifications with minimal effort in whichever file format you work with. Register your user profile to see improvement in your editing workflow.

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Got questions?

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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How does data extraction with AI work? AI OCR is combined with ML and NLP, making it possible to scan and read documents in different languages within seconds. Preprocessing: Documents are first preprocessed to prepare them for data extraction, for example, converting them into plain text.
Here are some techniques: Optical Character Recognition (OCR): OCR is a process that converts scanned images into machine-encoded text. OCR can be used to extract text from PDF files that contain images or scanned pages. Several OCR engines are available, including Tesseract, Google Cloud Vision, and Amazon Textract.
Here are 5 different ways to extract data from PDF in an increasing order of efficiency and accuracy: Copy and paste. Outsourcing manual data entry. PDF converters. PDF table extraction tools. Extracting data from PDF to Excel. Automated PDF data extraction.
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.
Text mining (also referred to as text analytics) is an artificial intelligence (AI) technology that uses natural language processing (NLP) to transform the free (unstructured) text in documents and databases into normalized, structured data suitable for analysis or to drive machine learning (ML) algorithms.
5. Machine Learning: The New Automated Way to Parse Your PDF Files Collect a few documents serving as a training set (usually, 3-10 documents is enough to train a ML-based model). Highlight the data to extract from the demo set. Verify your results and correct the parsing errors.
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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