Regex Validation for Tesseract OCR
Budget: $50 – $100 USD
I already have Google Tesseract extracting text from university transcripts; what I am missing is a solid validation layer that checks the accuracy of the fields before they reach the rest of my pipeline. I need a set of Regex patterns, plus the surrounding code that calls them, to verify three critical groups of data coming out of the OCR:
• Student names and IDs
• Course codes and titles
• Grades and GPA
Names and IDs must accept alphanumeric characters, hyphens, spaces, and any mix of upper- or lowercase letters. Similar flexibility will be needed for course details and grade formats, so design the patterns with that in mind.
Your solution should sit immediately after the Tesseract call, read the raw OCR output, flag any line that does not conform, and hand back either a cleaned JSON object or an error report I can log. Please include clear, commented code, the full list of regex expressions, and a small test harness that shows everything working with a few sample transcript images or text blocks.
I am language-agnostic as long as the code is easy to drop into an existing Tesseract workflow and runs cross-platform.
• Student names and IDs
• Course codes and titles
• Grades and GPA
Names and IDs must accept alphanumeric characters, hyphens, spaces, and any mix of upper- or lowercase letters. Similar flexibility will be needed for course details and grade formats, so design the patterns with that in mind.
Your solution should sit immediately after the Tesseract call, read the raw OCR output, flag any line that does not conform, and hand back either a cleaned JSON object or an error report I can log. Please include clear, commented code, the full list of regex expressions, and a small test harness that shows everything working with a few sample transcript images or text blocks.
I am language-agnostic as long as the code is easy to drop into an existing Tesseract workflow and runs cross-platform.