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Avinash Bendigeri Avinash is a developer-turned Technical writer skilled in core content creation. He has an excellent track record of blogging in areas like Docker, Kubernetes, IoT and AI.

Are You Still Entering Data Manually? Be Smart!

2 min read

Almost all businesses, companies, and organizations need data entry to record and organize data related to invoices, contracts, and standard operating procedures. 

The data entry team sometimes receives data in the form of images and manually enters that into the database. While it seems to be normal, it takes a lot of time. In addition, manual data entry is always prone to errors along with the increased costs for the labor. 

But what if we tell you that an image to text converter can save you from manually typing down data from images for data entry purposes? Amazing Right? Read this guide to learn more about the solution and its applications in data entry. 

What is an Image to Text Converter?

An image to text converter is a tool, typically in the form of  web-based application, that converts printed or handwritten text from an image into editable digital form. 

These tools work based on OCR (Optical Character Recognition) technology. This technology allows them to detect and identify text given on an image and then convert it into digital text format that can be edited or copied. 

In the data entry field, an image to text converter helps you extract the data from images. Once extracted, you can copy it and paste it directly into the database. This way, there is no need to manually type down the desired data. 

Advantages of Image to Text Converter for Data Entry: 

Speed—Copying and pasting data is way faster and more efficient than manually entering it by looking at the images. This way, image to text converter speeds up the data entry process. 

Accuracy—Manually entering data by looking at images comes with the risk of inputting invalid information, which is not good news for any business. Here, an image to text tool lets you copy data and paste it which eliminates the risk of any errors. 

Cost-Effectiveness—With image to text converter, data entry becomes faster. A team can do more work in less time. It saves companies from hiring more people for data entry that reduces their operational costs. 

How to Use Image to Text Converter to Extract Data?

Using an image to text tool is quite easy. However, finding the right tool is where you should take time and think twice. Go for a tools that is:

  1. Free to use
  2. Extracts data from images accurately 
  3. Works for low-resolution images
  4. Handles text, numbers, symbols 
  5. Support multiple image file formats

For example, Imagetotext.io is one such tool that fulfills all the aforementioned conditions and makes it easy to copy text from image. You can go for this tool or one with the same features. 

Once you have chosen the right image to text converting tool, these are the steps to use it:

  1. Open the tool and navigate to the section dedicated to image to text conversion. Locate the image input box.
  1. Paste the image containing the data. Alternatively, drag and drop it, upload it from the storage, or provide its URL. 
  1. Click on the Submit and Extract button to start the process. Wait for a while until the text is extracted and shown in a Result window 

Copy the extracted text by clicking on the Copy icon or download it in TXT file format. In case you want to repeat the process from another image, click the Start Over button. 

Practical Application of Image to Text Converters in Data Entry

Image to text converters, powered by Optical Character Recognition (OCR) technology, is revolutionizing data entry processes across various industries. For example:

Finance and Accounting—Extract details from invoices, expense reports, bank statements, and checks to reduce manual input errors and speed up data entry processes. 

Healthcare—Image to text converter can extract details from patient records, prescriptions, and insurance claims and digitize them for easier access. 

Human Resources—Automate the process of extracting information from resumes, timesheets, and other forms and feed it to other screening software to find potential candidates. 

Legal—Digitize and manage documents such as contracts, legal briefs, and court transcripts to make legal research and document management more efficient.

Retail—Update inventory levels, extract product details from catalogs, and analyze feedback to improve customer service and operations.

Conclusion

An image to text converter speeds up the process by quickly turning text from images into editable digital format. Instead of manually typing out data from images, which is slow and error-prone, you can use these tools to extract text automatically. 

With just a few clicks, you upload the image, and the converter uses Optical Character Recognition (OCR) technology to detect and transform the text into a digital form. 

This method is much faster than manual entry and reduces mistakes and saves time and money. You can directly copy the extracted text directly into your database, avoid tedious typing, and ensure accuracy. It allows your team to work more efficiently.

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Avinash Bendigeri Avinash is a developer-turned Technical writer skilled in core content creation. He has an excellent track record of blogging in areas like Docker, Kubernetes, IoT and AI.
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