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Need for Extract Text in Different Sectors
How do you extract consumer information from their ids? Do you type it out manually or hire someone to do that? Wouldn't be relaxing to know that a machine can be trained to fetch the information from the image? Yes! We are discussing OCR text recognition (Extract Text) to simplify your tasks. You can extract text from images and get the job done within seconds.
Earlier, everything was manually processed via piles of paperwork; the queue entries, document verifications, passport images on the documents, customer entries, etc. Eventually, with the incoming technologies and simple upgrades, maintaining the records is quick and accurate with face detection and text recognition. You have to show yourself, and the data can be retrieved from all sources where you opted for face detection. For text recognition, you have to show a single identity proof, and everything will be synced, and the details will get auto-filled.
For instance, the banking industry encounters a lot of paperwork, like adding user information from their identity proofs, detecting signatures, etc. To validate the documents with legal procedures & ensure a clean customer database, the banks require an automated system that detects and extracts text which can be used further in filling in the necessary details. Another instance can be when you have to identify the fraud profiles of the vendors. In B2B, the vendors are likely to put in the wrong details about their product, which delivers the wrong product to the end-consumers. This can also affect the business's reputation and the owner's age. So, let's understand what OCR is and how it improves businesses.
What is OCR Technology?
OCR — Optical Character Recognition works like a scanner system for alphanumeric characters. It detects the letters or numeric digits from printed documents. OCR technology offers solutions to diverse businesses that require text extraction from images or documents containing printed texts. It is essentially used to save time and transform the content into a machine-readable format for further data processing and analysis.
(An image showing how OCR works)
Why Choose PixelBin.io to Transform Images with Extract Text?
What is Extract Text by PixelBin.io?
PixelBin.io introduced extract text especially to eliminate the manual input process in businesses. Product images are often observed to have lengthy descriptions, which can be extracted with the help of OCR technology. It will then simplify the process of handling the textual data. Here, with extracted text relevant businesses can easily identify the content required from a particular image to proceed further in operations.
Extracting text from images is a feature in PixelBin.io that auto-detects the text wrtitten on your image. The algorithm works around detecting the exact position of the textual image within the image. It then extracts the text content on the image and provides the result.
Visit: PixelBin.io to explore more about its extract text feature
Why Choose PixelBin.io to Extract Text?
To survive in the tech boom, businesses are now expected to keep pace with accelerating innovations and draw the users' attention with illustrations that communicate. The primary step of digital transformation is to introduce OCR technology. It helps detect the text information on the images and convert them into a machine-readable format. Technology thus disrupts the way businesses work. It automates the manual workflow and enhances the productivity of an organization. The extract text feature by PixelBin.io also works around OCR technology that eliminates complex manual entries by automating the whole process of handling the textual content. It allows users to:
1. Detect Textextly: This option only identifies the exact position of the image. It returns only the positional values of the text information present in an image. detect_only Is an alias of this parameter.
2. Detect + Get the Text (default): This option detects both the position of the text present and the value of the textext output.
How does it Work?
Extract text works on the ML principles and is an accumulation of machine learning models. It returns accurate results by detecting the exact position of the textext an image. LetLet'sderstand the feature with simple methods and steps.
The Image Upload Method
Step 1. Open PixelBin.io
Step 2. Sign up on the platform or click on a try for free. It will redirect you to the entire feature list page at the extreme right of the screen.
Step 3. Upload your choice of image in a PNG, JPG, JPEG, or WEBP format using the upload button in the top right corner.
Step 4. Select Extract Text from the feature list on the left side. A dialog box would open consisting of a parameter option.
Step 5. There are 2 conditions whether you or do not pass the detect_only parameter value
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Condition 1: When you do not pass the detect_only parameter, i.e., default — It returns the value of the positions where the text present in the image.
(Text Positional Values)
(Text Value)
Condition 2: When you pass the detect_only parameter, i.e., check the box — It returns only the positional values of the textext the image.
How Are Businesses Using OCR Recognition Technology?
OCR recognition is gradually coming under the limelight, with most people understanding the importance of data in our everyday lives. TheThere'slot of research in the pipeline that revolves around text recognition from our surroundings. Multiple applications are designed and put to market in categories like mobile document scanning that covers most of the banking businesses. Apart from this, OCR can also benefit the legal, healthcare, finance, insurance, and logistics sectors. Let's look at some use cases in which businesses can flourish by implementing OCR technology.
- Eliminating the Unwanted Text: Most images contain text that textot necessarily required on the website. For example, most secondhand car dealings require OCR to recognize the number plate text in bulk and omit the same while uploading the pictures on the web screen. So, OCR helps car dealers generate text-free images, saving them time rather than individually working on them.
- Document Scanning: It is one of the widespread use cases for text recognition. Different documents back almost every industry, be it customer details in eCommerce or healthcare, legal papers, banking documents, personal identifications, etc. Here, OCR-powered applications work as a scanner where the user can scan through a document and convert the information into text format. So, it simplifies useusers’rk and allows them to keep their documents handy, safe, and scanned clearly.
- Document Management: Which one will be easier for you— Keeping piles of paper documents or scanning all of them and creating a single file? I think the latter one seems easier to handle. Using OCR technology, you can easily automate the workflow of your documents. It further provides an advanced search option where you can edit the vast document structure. Also, OCR facilitates the entire process of searching the document and sharing it across your corporate channels.
- Vehicle Parking: It is a good use case for the government to keep an eye on the vehicle. With the ability of OCR, the authorities can verify if the vehicle is parked legally as per state regulations. They can scan the number plate, get all its records on their system, and take legal action in case of any mishap. Also, in day-to-day situations, when a vehicle owner wants to leave the car park, he does not have to stand in queues to wait for the ticket.
Future Scope
Businesses are bound to keep pace with the exploding digital demands of resolving complex processes. Almost every sector is on the edge of researching and bringing innovations on the table to simplify the customer needs. Engineers are working hard to integrate OCR with next level business ideas and develop a new era of rendering digital solutions. Machine-learning inspired OCR technology can learn and analyse big data of extracting text from images. This helps the technology to train on its own and develop an improved model that works with accuracy.
