Explore DocHub’s ChatGPT-assisted features to Add Watermark to Receipts with AI in HR industry

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Aug 6th, 2022
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How to easily handle paperwork and Add Watermark to Receipts using AI in HR industry with DocHub

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Have you ever imagined Artificial Intelligence to assist you in handling professional paperwork? Today you can do whatever you want, and even Add Watermark to Receipts with AI in HR industry easily with our ChatGPT-driven solution. It will give you beneficial tips for adjustments, which you can apply in total or manually improve upon. Everything will take you just a few simple clicks.

Here’s the guide on how to easily Add Watermark to Receipts using AI in HR industry:

  1. Create an account or log into our system to start adjusting your files.
  2. Add your form to the Dashboard from your device or the cloud.
  3. Open our editor and launch the AI DocHub robot to process your Receipts.
  4. Choose the appropriate button to Add Watermark to your template using AI.
  5. Look through the suggestions and make extra adjustments on your own if required.
  6. Verify your work, sign and request signatures (if needed), and proceed to file-saving options.

Enjoy positive effects of GPT support within your document editor. Work on your professional forms efficiently and accomplish tasks quickly with DocHub. 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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Receipt OCR (optical character recognition or optical character reader) is the electronic or mechanical conversion of receipt images, receipt paper, and handwritten or printed text into machine-encoded text using software.
This is where Receipt OCR (Optical Character Recognition) technology can help. These automate the process of extracting critical financial information from receipts, removing as many humans in the loop as possible.
Apply a perspective transform, yielding a top-down, birds-eye view of the receipt (required to improve OCR accuracy) Apply the Tesseract OCR engine with --psm 4 to the top-down transform of the receipt, allowing us to OCR the receipt line-by-line. Use regular expressions to parse out the item name and price.
Receipt OCR (optical character recognition or optical character reader) is the electronic or mechanical conversion of receipt images, receipt paper, and handwritten or printed text into machine-encoded text using software.
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.
A Receipt OCR API, also known as a Receipt Scanner API is a service optimized for extracting text data from images of receipts, enabling automation of data entry, validation and processing.
UiPath creates IPA solutions by using artificial intelligence (AI) to amplify the power of. our RPA technology in three ways. UiPaths IPA is based on advanced computer vision, unattended robotics, and integration with third party cognitive services from Google, IBM, Microsoft and ABBYY.
Using neural networks and deep learning, the Artificial Intelligence can understand contents of an invoice and what each term means, making it possible to extract and efficiently compile this data with minimal errors. The technology simplifies the workflow and improve the efficiency up to 99%.

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