Convert complex PDF and Word exam papers into structured .QST files with 99% structural accuracy. Our heuristic engine detects Cyrillic markers, multi-line questions, and inline options locally in your browser for total privacy.
Drag & Drop Document (PDF, DOCX, QST, TXT)
The Smart Engine auto-extracts questions, handles Cyrillic formats, dynamic options, and generates a Review Radar.
Extracted: 0 Review: 0
Needs Review (0)
Smart Answer Key Mapping
Paste an answer key (e.g., 1A, 2B, 3C) below to instantly fix missing answers.
AI ASSISTANT PROMPT (Click to Copy):
"I am providing a list of multiple-choice questions. If an answer key is included at the end or in the document, please extract it. If there is NO answer key, please act as an expert and solve the questions to generate the correct answers. Return the final output STRICTLY as a comma-separated list of QuestionNumber and CorrectOptionLetter (e.g., 1A, 2B, 3C, 4D). Do not include any explanations or other text."
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How to use this tool
1
Prepare Your File
Ensure your document is a text-based PDF or DOCX file (not a series of photos).
2
Drag & Drop Upload
Simply drop your file into the main box. The tool supports .pdf, .docx, .doc, .txt, and .qst.
3
Deep Scan Analysis
Watch the progress bar as the engine methodically maps your questions. For 200+ questions, allow up to 30 seconds for the character-level scan to complete.
4
Verify with the Review Radar
Look at the Floating Review Tab on the right. Any question number listed there needs a quick check for missing answers or options. Click the number to scroll there instantly.
5
Apply a Manual Key
If your document didn't have correct answers marked, paste your answer key (e.g., 1A, 2C, 3B) into the Smart Key Box and hit "Apply" to fix all questions at once.
6
Export and Name
Click "Save .qst" and enter your preferred filename. Your formatted file will download instantly, ready for use in any QST quiz engine.
The PDF & DOCX to .QST Converter is a high-precision extraction utility developed to eliminate the "copy-paste bottleneck" faced by students, educators, and learning management system (LMS) developers. Traditional exam digitization is a tedious, manual process where hundreds of questions must be reformatted from static documents into machine-readable files. This tool replaces hours of manual labor with a professional-grade Heuristic Structural Analysis engine, designed specifically to handle the messy, inconsistent layouts often found in medical licensing banks and university final exams.
At its core, the Sutra Engine operates on Semantic Boundary Detection. Unlike standard text-to-text converters that simply dump words into a window, this engine performs a character-level scan of the document’s geometry. It interprets the intent of the formatting. It recognizes that a number followed by a period (e.g., "129.") is a "Question Anchor" and that letters like "A." or "Б." are option markers, even if they are placed horizontally on the same line. By analyzing the distance between these markers and the line breaks surrounding them, the tool creates a unified data map of the entire document without losing the relationship between a question and its five (or more) potential answers.
Privacy and data integrity are the pillars of this utility. Because the structural analysis is performed entirely via client-side scripts, your academic documents are never uploaded to a remote server. This localized execution model ensures that proprietary test banks and sensitive institutional data remain secure on your machine. The tool is engineered for "Verified Extraction," meaning it doesn't just parse data—it audits it. The built-in Review Radar provides a fail-safe mechanism, flagging structural inconsistencies in real-time, allowing you to produce a technically perfect .qst file that is ready for immediate import into any compatible testing engine.
When to use this tool?
The PDF & DOCX to .QST Converter is an essential asset for Medical and Engineering Students preparing for high-stakes licensure exams like the USMLE, NEET-PG, or specialized board certifications. These students often deal with "Question Banks" containing thousands of practice items delivered in dense, poorly formatted PDF files. Using this tool, a student can convert an entire 500-page document into a structured quiz format in minutes, allowing them to import the data into active-recall software for randomized testing and better memory retention.
For Educational Institutions and Exam Boards, this tool acts as a high-speed pipeline for legacy data migration. Universities often have decades of examination history locked in Word documents that are incompatible with modern Digital Learning Management Systems. The Sutra Engine allows administrative staff to batch-process these files, utilizing the Review Radar to ensure quality control. This digitizes years of curriculum data in a fraction of the time it would take a traditional data-entry team, preserving the semantic accuracy of every question and answer pair.
Finally, the utility is indispensable for Professional Course Creators and Instructional Designers. If you are building an online training program, you can use the parser to "Logic Audit" your own test papers. By running your draft through the engine, you can instantly see if you have accidentally missed an option or forgotten to mark a correct answer in a 100-question final. The tool’s ability to handle Dynamic Option Counts (from 2 up to 6+ options per question) ensures that it adapts to your content, rather than forcing you to change your curriculum to fit the software.
Frequently Asked Questions
Yes. Unlike many online tools, all structural analysis and parsing happen locally in your browser. No data is sent to a server, making it 100% secure for private academic files.
It flags questions that don't fit a standard MCQ profile—for example, if no correct answer was marked or if the question only has one option. This ensures you catch formatting errors before exporting.
Absolutely. Our adaptive engine is dynamic and does not force a "4-option limit." It extracts exactly what it finds in the document, whether that is 2 options or 6.
The engine is built with a "Structure-First" logic. While it is pre-configured to recognize Latin (A-F), Cyrillic (А-Е), and Numerical (1-6) prefixes, it also features a Heuristic Fallback. If your document uses custom symbols—like slashes (/), dashes (-), or bullet points—the engine analyzes the line indentation and line breaks to isolate the options regardless of the symbol used.
Use our AI Prompt Helper. Copy the provided prompt, paste it into a tool like Gemini or ChatGPT along with your answer key image, and it will give you a text string that you can paste into our "Smart Key Box" to map everything automatically.
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