Optical Character Recognition (OCR) is used to create editable text. It does this by converting scanned documents, PDFs, and images. OCR software works by analyzing images and identifying the characters it contains. The software then converts the characters into machine-readable text, which is editable and searchable.
The process begins with pre-processing of the images, which includes steps such as visual enhancement, noise reduction, and thresholding. Image enhancement is used to improve the quality of the image and noise reduction is used to remove all unwanted details. Thresholding, on the other hand, is used to convert an image into binary photos, making it easier for software to identify characters.
Once the photo is processed, the software begins the character recognition process. The software compares the characters with a database of known characters and tries to match them correctly. The software also measures the context of the characters, which can help improve recognition accuracy.
After the character recognition process, this software performs further processing, which includes steps like spell check, grammar check, and formatting.
OCR technology has improved significantly over the years, it is possible to achieve high levels of accuracy with this software. Some of the best OCR programs on the market include Adobe Acrobat, ABBYY FineReader, and Tesseract. Adobe Acrobat is a popular choice for businesses and individuals who need to convert a large number of documents, while ABBYY FineReader and Tesseract are popular choices for developers who need to integrate this functionality into their applications. Be sure to look into this 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 spoken words into written text. The STT process begins with recording the speech, using a microphone or digital recording device.
Once the audio recording is processed, the STT software begins the speech recognition process. This process involves analyzing speech segments and comparing them to a database of known words and phrases.
If you want to try this technology for yourself to convert MP3 files to text, there are already many online tools available, and as technology continues to improve and the amount of data used for training continues to increase, the accuracy of speech-to-text recognition systems is also increasing. However, there are still some challenges that need to be overcome, such as dealing with different accents, dialects, and background noise.
Due to the rapid progress in the AI sector, speech and text recognition are expected to improve significantly in the coming years and we are just at the beginning of what is possible.
Read More Author: Janvi Panthri Senior Writer, Editor
Categories: How to
Source: vtt.edu.vn