Optical Character Recognition (OCR) is used to create editable text. It does so by converting scanned documents, PDFs and images. OCR software works by analyzing the images and identifying the characters in them. The software then converts the characters into machine-readable, editable, and searchable text.
The process begins with image pre-processing, which includes steps such as image enhancement, noise reduction, and thresholding. Image enhancement is used to improve image quality and noise reduction is used to remove all unwanted details. Threshold, on the other hand, is used to convert the image to a binary image, making it easier for the software to identify the characters.
After the image is processed, the software starts the character recognition process. The software compares the characters against a database of known characters and tries to match them properly. The software also measures the context of the characters, which can help improve recognition accuracy.
After the character recognition process, the software does post-processing, including steps such as spell checking, grammar and formatting checks.
OCR technology has improved significantly over the years, a high level of accuracy can be achieved with this software. Some of the best OCR software on the market include Adobe Acrobat, ABBYY FineReader, and Tesseract. Adobe Acrobat is a popular choice for businesses and individuals that need to convert large amounts of documents, while ABBYY FineReader and Tesseract are popular choices for developers who need to integrate this functionality into their applications. . Make sure to review these software and see what they can do for you.
In addition to OCR, there is another related technology called speech-to-text (STT). STT is a technology that converts speech into written text. The STT process begins with recording speech, using a microphone or digital recording device.
After the recording is processed, the STT software starts the speech recognition process. This process involves analyzing speech fragments and comparing them with a database of known words and phrases.
If you want to try this technology for yourself to convert MP3 files to text, many online tools are now available and as the technology continues to improve and the amount of data used for training continues to increase , the accuracy of speech-to-text recognition system is also increasing. However, there are still some challenges to overcome, such as dealing with different accents, dialects, and background noise.
Due to the rapid advancement in both the field of AI, speech and text recognition is expected to improve significantly in the coming years and we are at the very beginning of what is possible.
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Source: vothisaucamau.edu.vn
