Data standardization
Project Description: This ongoing project focuses on high-precision text extraction and data labeling for training advanced Optical Character Recognition (OCR) models. My core tasks include transcribing alphanumeric data, handwritten text, and tabular structures directly from diverse, high-volume document images into structured digital formats. To maintain the integrity of the training data, I adhere strictly to complex formatting, capitalization, and punctuation taxonomies. I perform thorough self-audits and multi-pass quality checks to effectively handle low-resolution or distorted images, consistently delivering annotations that meet a 99% accuracy threshold.