Step-by-Step Guide to Text Extraction from Images
In the modern world, data surrounds us, including in images. From a hand-scrawled note to scanned documents, most images carry valuable text. The manual extraction of text from an image is laborious. Fortunately, OCR makes the task easy and efficient.
This blog will show how to implement OCR in practice, using Python: all practical applications and step-by-step instructions. Let us use popular tools: Tesseract and OpenCV while extracting text from an image and see how you optimize this process.
OCR, or Optical Character Recognition, is a technology which extracts text from images. It reads printed, handwritten, or scanned documents and translates the text into a machine-readable format. This has been helpful in automating data entry tasks, indexing documents, or even digitizing archives.
Imagine that you have hundreds of invoices, receipts, or hand-written notes. Instead of typing them in manually, OCR can scan and read the text in seconds…