Streamlining Data Extraction with AI

A leading Inc. 5000 EdTech company in the U.S., offering flexible, self-paced online education to high school students, adult learners, and homeschoolers, was facing a growing challenge:

• Manual transcript processing couldn’t keep pace with scale.
• Despite their innovative digital platform, one critical process remained slow, error-prone, and unscalable — student credit transfer auditing.

• Manual, Time-Consuming Process

  Auditors manually extracted course data (grades, credits, names) from varied transcript formats, slowing down operations.

• High Risk of Human Error

  Inaccuracies in data entry led to credit mismatches and academic record issues.

• Scalability Challenges

  Manual auditing couldn’t keep up with increasing student volumes.

• Lack of Consistency

  Transcripts from different institutions had no standard structure.

• AI-Powered ATR Tool

  Automatically extracts course information from transcripts using OCR and NLP

• Editable Interface

  Allows auditors to review, modify, and validate extracted data.

• Bulk Audit Capability

  Supports high-volume transcript processing in a few clicks.

• 360° Feedback System

  Auditor feedback trains the model, improving accuracy continuously.

• 80% Reduction in Processing Time

  Audits completed in minutes instead of hours.

• >99% Accuracy Achieved

  Significant drop in data entry errors

• Scalable for Peak Admission Cycles

  Supports large volumes with diverse formats.

• Auditor Productivity Improved

  Less time on entry, more on validation.