Transcript Parser API

The Transcript Parser API supports official academic transcripts from universities, colleges, community colleges, vocational schools, and K-12 institutions worldwide. It handles transcripts issued by accredited institutions across North America, Europe, Asia, and other regions. The API can extract student information, course details, grades, GPA calculations, credit hours, and institutional data from both digital PDF documents and scanned image formats including JPG, PNG, and TIFF. Whether the transcript is a clean digital export from a student information system or a scanned photocopy, the AI models adapt to recognize layout patterns and extract data with high fidelity.

Our API uses advanced OCR combined with specialized machine learning models trained on tens of thousands of real academic transcripts to achieve over 95% accuracy in data extraction across all field types. The system continuously improves through feedback loops and model retraining on new transcript formats. For high-quality digital PDFs, accuracy typically exceeds 98% for structured fields like course codes, grades, and credit hours. Even with lower-quality scanned documents, the AI applies noise reduction, skew correction, and layout detection to maximize extraction precision. Each parsed field includes a confidence score so your application can flag low-confidence results for human review.

The API extracts a comprehensive set of structured data fields organized into logical categories. Student details include full name, student ID, date of birth, and enrollment status. Institutional information covers the school name, address, accreditation body, and registrar details. Academic summary fields include cumulative GPA, GPA scale, total credits earned, credits required, class rank, and honors designations. Course records are extracted semester-by-semester with course codes, titles, credit hours, letter grades, quality points, and instructor names when available. The API also captures degree conferral information, transfer credits, academic standing, and any disciplinary or hold notations present on the transcript.

Yes, the API supports a wide variety of transcript formats and document types. It processes native PDF documents exported directly from student information systems, as well as scanned images in JPG, PNG, TIFF, and BMP formats. The AI models are trained to handle diverse visual layouts including single-column, multi-column, tabular, and grid-based transcript designs. The system automatically detects document orientation, corrects skew angles, and handles watermarks, seals, and security features that are common on official transcripts. For institutions that issue transcripts on colored or patterned paper, the preprocessing pipeline enhances contrast and readability before extraction begins.

Yes, the API is designed to recognize and process a wide range of international grading systems. It supports the US 4.0 GPA scale with plus/minus letter grades, European ECTS credits and grading scales, UK degree classifications (First, 2:1, 2:2, Third), Canadian percentage-based systems, Australian HD/D/CR/P/F grades, Indian CGPA and percentage systems, and many other regional grading schemes. The API normalizes these different grading formats and converts them to standardized values, enabling meaningful cross-institutional comparisons. It also recognizes pass/fail designations, incomplete grades, withdrawal codes, and audit notations, mapping each to the appropriate category in the output schema.

The API intelligently segments transcripts that contain multiple degrees, transfer credits, or coursework from different institutions. It uses layout analysis and contextual clues to identify institutional boundaries and organizes the data hierarchically, maintaining clear associations between courses, semesters, academic programs, and awarding institutions. Each degree program is represented as a separate object with its own GPA, credit totals, and conferral status. Transfer credits are distinctly labeled with their originating institution, original grades, and how they were accepted by the receiving school. This is particularly useful for transfer students, dual-degree programs, joint programs between universities, or consolidated transcripts that combine undergraduate and graduate coursework on a single document.