Explore DocHub’s ChatGPT-assisted features to Edit Scanned Bank Statements with AI in Nonprofit Organizations 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 capabilities to Edit Scanned Bank Statements using AI in Nonprofit Organizations industry

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Regular online editors can help specialists in Nonprofit Organizations industry with simple document management tasks. However, an up-to-date AI-driven solution like DocHub offers more opportubities and helps complete your work faster. Choose our ChatGPT-powered tool to Edit Scanned Bank Statements along with other professional paperwork - you’ll get the results you require in minutes!

Check out the quick guideline below to Edit Scanned Bank Statements with AI in Nonprofit Organizations sector:

  1. Register an account in DocHub and sign in after its verification.
  2. Add the Bank Statements to the editor using one of the available upload options.
  3. Launch the ChatGPT assistant and select the tool that lets you Edit Scanned your form.
  4. Look through the changes suggested by Artificial Intelligence.
  5. Make edits where needed, and check at least once more prior to submitting.
  6. Create your signature and request it from other people if your form needs approval.
  7. Click on Menu to download, export, or share your professional paperwork.

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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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OCR is a technology that analyzes the text of a page and turns the letters into code that may be used to process information. OCR is a technique for detecting printed or handwritten text characters inside digital images of paper files, such as scanning paper records (optical character recognition).
OCR stands for Optical Character Recognition. It is a technology that recognizes text within a digital image. It is commonly used to recognize text in scanned documents and images.
OCR-driven extraction of data from bank statements helps account holders helps the customer monitor account balance, track fees and interest and detect identity fraud. Bank statement extracts are also important for tax computation and filing.
Optical Character Recognition (OCR) tools are useful for the extraction of data from bank statements and other banking documents. Let us see what OCR is and how it is used in the banking sector, with a particular focus on how it can help customers and organizations extract data from bank statements.
Bank statement OCR is used to extract important information, such as issue date, name of owner, home address of owner, open balance, close balance, details of transactions, etc., from bank statement and return structured data. The question is, what do businesses do with this structured data?
Use your trained API to review data extraction Log in to the Docsumo dashboard. Select APIs Services. Choose the appropriate API model for your document type. Go to Document Types, find your API module and hit Upload. The trained Docsumo will automatically read your document and structure the information.

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