Text extraction is a solution that is growing in popularity. Text recognition and extraction from image files is a tool that is capable of automating key processes in a company. Find out what text extraction is and its application in business.
What is text extraction?
Text extraction is a technology that allows extracting graphic characters from any images that may contain text data. The tool uses algorithms to carefully analyze image files to look for specific expressions. OCR, or Optical Character Recognition, can prove useful in recognizing key data in various image files, as well as helping to process them automatically.
Text extraction – step by step
Capturing and extracting text from an image is most often done using the OCR method. The algorithm carefully analyzes image files in a variety of formats and if it finds text on them, text extraction is performed. The solution effectively recognizes text data from files in many formats, including: JPG, PNG, BMP, PNM, JFIF, JPEG, TIFF.
OCR technology by default only extracts raw text and does not provide contextual understanding of content. The use of artificial intelligence-based algorithms allows for more efficient text extraction. After extracting text from an image file, the algorithm analyzes it for accuracy. It pays attention to the entire context of the sentence, and has the ability to detect incorrect expressions.
BTC Image to Text AI
Fast and efficient extraction of text from image files in the Image to Text AI solution is ensured, thanks to the use of artificial intelligence. The use of deep learning, in the form of LSTM neural networks, correctly recognizes and extracts text content from image files with high efficiency. It affects the quality of performance, as well as the high speed of extraction. The solution recognizes text from image files in a variety of formats, and works correctly in as many as 116 languages. Combined with classifiers, the solution is able to influence more effective data security in the organization by recognizing sensitive data.
Practical application of text extraction
Analysis and extraction of text from image files is a tool that will work very well in professional systems for IT management and security. It is able to make a real difference in the better efficiency of operations in the organization, as well as improve the quality of security of sensitive data.
Document security
When used in conjunction with a document classifier, text extraction can prove crucial in recognizing and securing confidential documents. By extracting text from image files, the solution can identify documents in an organization that may be confidential data. The solution checks if the document contains potentially sensitive content, if so, it will also inform the network administrator, in order to block the process of sending the document outside the organization.
Label recognition
The solution, by carefully analyzing graphics and extracting textual content from them, can prove itself in recognizing text from product labels. By extracting the text found on product labels, they will be able to classify them according to specific categories.
Source:
https://www.klippa.com/en/blog/information/document-data-extraction-with-klippa/