ExamParser is an advanced online tool designed to streamline the conversion of various document formats into ready-to-import quizzes for leading Learning Management Systems (LMS) and educational platforms. It eliminates the tedious manual process of recreating questions by hand, allowing educators to transform existing Word (.docx), PDF, Google Docs, or Google Sheets files directly into structured quizzes.
The core strength of ExamParser lies in its intelligent parsing engine, which meticulously dissects each question within a document. It identifies and extracts critical components such as the question number, stem, multiple-choice options, and the correct answer key, treating them as a single, cohesive unit. This ensures that the integrity and structure of the original exam are preserved, preventing data loss or misinterpretation during conversion.
Key features and advantages of ExamParser include:
- Broad Document Compatibility: Supports a wide array of input formats, including Word (.docx), PDF, Google Docs, and Google Sheets. It can even process scanned past papers by utilizing Optical Character Recognition (OCR) technology, making it versatile for various source materials.
- Extensive Export Options: Offers direct export capabilities to numerous popular educational platforms. This includes Canvas (QTI 1.2), Moodle (QTI 2.1, GIFT, XML), Blackboard (QTI 2.1, TXT, ZIP), Kahoot (.xlsx), Quizizz (.xlsx), Schoology (Blackboard ZIP, QTI, CSV), Brightspace (QTI 2.1, CSV), Neo LMS (QTI 2.1), Learn365 LMS (QTI 2.2), and Google Forms (via spreadsheet + Apps Script). Generic formats like Word (.docx), Excel (.xlsx), and CSV are also available for flexible data management.
- Comprehensive Question Type Support: Recognizes and processes various question types, including single choice (Multiple Choice), multiple response, true/false, matching, fill-in-the-blank, short answer, and essay questions. The export compatibility for these types depends on the specific destination platform.
- Preservation of Rich Content: Beyond plain text, ExamParser intelligently preserves embedded images, data tables, and mathematical formulas (MathML / LaTeX) within the question stems and options. This rich content is carried over into compatible export formats like Canvas QTI, Moodle, and Word, ensuring that complex diagrams, graphs, and equations render correctly without being flattened or garbled.
- Multilingual Support: Capable of handling documents in multiple languages, including Chinese, English, Japanese, Korean, and German, even when mixed within a single file.
- No Question Limit: Designed to process entire exam papers in a single pass, regardless of the number of questions, from dozens to thousands, without truncation or errors related to file size.
- User-Friendly Workflow: The conversion process is straightforward: upload the document, review the parsed grid (where each question becomes an editable row), and then download the desired export format. A live preview of the parsed structure is available for free.
- Privacy and Security: Files uploaded for conversion are used solely for the specific job and are never reused, resold, or employed for training AI models, ensuring user data privacy.
- Flexible Pricing Model: Operates on a one-time payment basis, with no subscription required. Pricing is determined by the number of questions in the file, making it cost-effective for various needs. Uploading and previewing documents are always free. No login is required to use the service, offering immediate access.
ExamParser empowers educators to efficiently transform their existing question papers into digital quiz formats, saving significant time and effort in course content creation and migration across different learning environments.
