Handwriting OCR, or Handwritten Text Recognition, is a technology that converts handwritten text into editable and searchable data. The process involves capturing an image, preprocessing for clarity, segmenting into individual characters, extracting features, using a trained model for recognition, and refining the output. Handwriting OCR is valuable for digitizing handwritten documents, automating data entry, and making handwritten information accessible in a digital format. The accuracy is influenced by factors like handwriting quality and document complexity.