QAnalyse reads your actual question paper PDF, lets you mark every single attempt with one tap, and delivers a full clinical autopsy — chapter weaknesses, hidden error patterns, NCERT pointers, a targeted revision PDF, and a prioritized 5-step recovery plan. Not generic. Not guessed. Built from your real paper.
You write mock after mock. You check the answer key. You feel like you reviewed it. Yet three weeks later, you make the exact same mistakes in the next mock. Here is why.
You check the answer key, see what you got wrong, and feel like you have completed your review. But knowing what you got wrong is not the same as understanding why. Without tagging the cause — silly mistake, concept gap, revision lapse — you repeat the same error pattern in the next test.
You guessed 6 questions. 3 happened to be correct. Your score sheet shows those as wins. But on exam day, when the question is twisted slightly or the options are reshuffled, those 3 lucky guesses fail completely. Nobody told you those were actually unknown concepts — not even you.
After a bad mock, most students open NCERT and start reading from Chapter 1 again — or worse, re-watch 3-hour video lectures for topics they already know. Without knowing which exact chapters cost you marks, revision time is wasted on your strengths rather than your leaks.
No manual work. No guessing. You upload, you mark, you get your diagnosis. QAnalyse uses the same AI paper extraction engine that powers QRank — not a generic chatbot.
Drag and drop your actual mock test question paper PDF. QAnalyse uses PyMuPDF and Gemini AI to extract every question — the same production engine as QRank. Alternatively, load any paper you have already uploaded via QRank with one click.
For each question, tap ✓ Correct, ✗ Wrong, or — Skipped. For wrong and skipped questions, tap one cause chip: Silly mistake, Didn't revise, Concept unclear, Ran out of time, or Guessed. If you guessed a correct answer, flag it. That is the whole interface — no typing required.
In seconds, get your complete autopsy: a scorecard with net marks and negative penalty breakdown, your top 3 weakest chapters by marks lost, hidden error detection (lucky guesses that will fail you again), NCERT pointers for every mistake, a downloadable theory revision PDF, and a 5-item action checklist.
Every item in your report is derived directly from your actual paper and your actual attempt pattern. Nothing is assumed. Nothing is AI-guessed.
Your total score, total attempted, total correct, total wrong, total skipped, and exact marks lost to negative marking. Know precisely where your marks went — not just your raw score.
Your top 3 (or more) weakest chapters, ranked by marks lost. Not subject-level vague insight like "improve Physics" — chapter-level specificity like "Electrostatics cost you 16 marks."
Questions you guessed correctly are flagged as hidden risks. Your score sheet calls them wins. QAnalyse knows they are unknown concepts waiting to fail you when the exam re-visits them with a twist.
For each wrong question, QAnalyse gives you the exact NCERT chapter, section, and concept to revise. You do not need to hunt through 600 pages. You get a pin-pointed roadmap.
A downloadable PDF containing NCERT revision notes for only your weak chapters. Compact. Printable. Specific. Not the entire syllabus — just the concepts you actually missed.
A prioritized, ranked to-do list derived from your specific mistake pattern. No vague "study harder" advice. Actual next steps: revise Chapter X, drill Topic Y in QMatch, re-attempt these 5 specific questions.
For your top weak topics, QAnalyse launches QMatch directly — pre-loaded with the exact chapter — giving you 10 targeted practice questions (Easy to Hard) to rebuild from zero to exam-ready.
QAnalyse schedules a retest of your weak chapters in 7 days. This ensures you do not just revise once and forget — the system brings you back before the memory fades and before your next real exam.
QAnalyse does not try to automatically infer why you made a mistake from time data or AI guessing. You are the only person who knows the real reason — so we ask you directly, with one tap.
After completing a mock, you know exactly why each question went wrong. You know it was a silly calculation error, not a concept gap. You know it was a revision lapse, not an unfamiliar topic. QAnalyse captures this knowledge the moment it is sharpest — right after the exam.
With one tap per question, your cause data becomes a structured signal QAnalyse uses to segment your autopsy: Are you losing marks from carelessness? From revision gaps? From genuine conceptual blindspots? Each cause group gets a different recovery prescription.
See why a structured diagnosis is the difference between plateauing at 85th percentile and cracking 99th.
| What you need after a mock | QAnalyse | Checking Answer Key Only | Generic Exam Apps |
|---|---|---|---|
| Exact chapter-level weakness | ✓ Chapter + marks lost | ✗ Just wrong questions | ✗ Subject-level vague |
| Hidden error (lucky guess) detection | ✓ Auto-flagged by guess toggle | ✗ Shows as "correct" | ✗ Shows as "correct" |
| Cause-level error segmentation | ✓ 5 cause categories | ✗ None | ✗ None |
| Pinpointed NCERT revision pointer | ✓ Per question, exact section | ✗ None | ~ Generic syllabus list |
| Downloadable targeted revision PDF | ✓ Weak chapters only | ✗ None | ✗ None |
| Prioritized action checklist | ✓ 5-item ranked list | ✗ None | ✗ None |
| 1-click drill practice for weak topics | ✓ QMatch bridge built-in | ✗ None | ~ Random question sets |
| Reads your real question paper | ✓ PDF → PyMuPDF → Gemini AI | ✗ Manual | ✗ Pre-loaded content only |
| Cost | 100% Free | Free | Monthly subscription |
The best AIR rankers don't just take tests and check keys. They close the loop: analyse mistakes, target practice, rank weak topics, then test again. QAnalyse makes this loop automatic.
Everything JEE and NEET students want to know about preparing with QAnalyse.
The students who crack JEE and NEET are not the ones who take the most mocks. They are the ones who extract the most from each one. Your next mock result is determined by how well you use this one.