โšก QuestionRank AI Engine

Decode Your Question Papers

Upload past question papers and let QuestionRank AI detect patterns, score importance, and surface the questions most likely to appear in your exam.

60%
Frequency Weight
20%
Similarity Weight
10%
Marks Weight
10%
Recency Weight
Why Peparlance?
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Pattern Detection
Finds the same question asked differently across 5+ years of papers using semantic AI matching, not just keyword search.
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Scanned PDF Support
Tesseract OCR reads handwritten or printed scans so you can upload any past paper โ€” even photocopied ones.
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Star Importance Score
Every question gets a 1โ€“5 star rating based on frequency, similarity, marks, and recency. Focus your revision where it matters.
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Topic-wise Breakdown
AI names every topic cluster so you see which chapters carry the most exam weight across all your papers.
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Private by Design
PDF reading and text extraction happen entirely in your browser. Only anonymised question text is sent to the AI API.
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Downloadable PDF Report
Export a full ranked report as a PDF to share with classmates or print for offline revision.
Who is Peparlance for?
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Diploma & Degree Students

Prepare smarter for MSBTE, university, or board exams by focusing on high-frequency questions.

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Teachers & Educators

Identify which topics recur most to design better test papers and prioritise classroom coverage.

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Competitive Exam Aspirants

JEE, NEET, UPSC โ€” any exam with publicly available past papers can be run through QuestionRank AI.

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Coaching Institutes

Batch-analyse multiple subjects' papers and share ranked question sets with entire student batches.

๐Ÿ“‚ Already-Analysed Papers
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Don't want to upload? Pick a subject below โ€” if someone already analysed papers for it, you'll see the results instantly, no upload needed.
๐Ÿ” Search Papers
Or Select Subject
๐Ÿ“ค Upload Question Papers
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Upload at least 2 PDFs
More papers = stronger pattern detection. Aim for 5+ years of past papers for best results.
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Scanned PDFs work too
Enable OCR to read photocopied or handwritten question papers โ€” Tesseract handles the rest.
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Your files stay local
PDFs are read in your browser. Only extracted question text reaches the AI โ€” never the raw file.
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Results cached automatically
Re-uploading the same papers skips AI re-processing. Identical paper sets load instantly from cache.
๐Ÿ“‚ Question Papers (min. 2 required)
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Drop PDFs here or click to browse
PDF / Scanned PDF โ€ข multiple files
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QuestionRank AI analyses only your uploaded papers.
Upload at least 2 PDF question papers. Scanned PDFs are supported via OCR. All processing uses AI to extract, cluster, and rank questions by exam importance.
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Text extraction runs locally in your browser. Question matching, topic & subject detection are done by QuestionRank AI via a secure proxy. Results are cached in Supabase so identical papers aren't re-analysed.
Analysis in Progress
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Reading PDFs
Extracting text from question papersโ€ฆ
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OCR Processing
Running Tesseract OCR on scanned pagesโ€ฆ
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Question Extraction
Removing headers, footers, instructionsโ€ฆ
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QuestionRank AI
AI finds repeated questions across papers & names topicsโ€ฆ
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Generating Report
Building topic rankings and final resultsโ€ฆ
0%
โš ๏ธ Analysis is based only on the uploaded question papers.
๐Ÿ” Repeated Questions โ€” Why They Matter

A question that appears in 4 out of 5 past papers has an 80% historical appearance rate. After analysis, the Repeated Questions tab shows every such question โ€” ranked by how often it recurred, which papers contained it, and its final importance score.

๐Ÿ“ˆ High-Frequency Questions

Any question seen in 3 or more papers is classified as high-frequency. These form the core of every smart exam preparation strategy.

๐Ÿ”— Semantic Variants Detected

AI recognises "Explain the working of a transformer" and "Describe the principle behind a step-up transformer" as the same question โ€” keyword search can't do this.

๐Ÿ“… Recency Bonus Applied

Questions from the two most recent papers get a recency bonus โ€” because examiners are more likely to repeat a question asked recently than one from a decade ago.

โ„น๏ธ Upload your papers and click the โญ Most Repeated tab in the results to see your paper's repeated question list ranked by importance.
โญ Important Questions โ€” How to Use the Rankings

Not all repeated questions are equally important. QuestionRank AI weighs frequency, semantic similarity, marks, and recency together into a single Importance Score. Here's how to read and act on it.

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5 Stars โ€” Must Do
Score 80โ€“100%. Appeared in nearly every paper, often for high marks. Revise these questions deeply and be ready to answer from multiple angles.
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4 Stars โ€” High Importance
Score 60โ€“80%. Strong repeat pattern across most papers. Prepare a complete answer and at least one worked example or diagram.
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3 Stars โ€” Moderate
Score 40โ€“60%. Appeared in half the papers or carries high marks. Worth preparing, especially for difficult subjects.
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1โ€“2 Stars โ€” Low Priority
Score below 40%. Rare or unique questions. Prepare these only after covering higher-starred questions fully.
๐Ÿ’ก Smart Revision Strategy Using QuestionRank AI
Week 1 โ€” 5-Star Questions
Prepare every 5-star question with full answers, diagrams where applicable, and examples. These alone can cover 40โ€“60% of a typical exam.
Week 2 โ€” 4-Star Questions
Work through 4-star questions and topic-wise groups. Focus on understanding the concept behind each cluster, not just memorising one wording.
Week 3 โ€” Topic Gaps
Review the Topic-wise tab. If any topic you don't recognise keeps appearing, spend a session on it before the exam.
Day Before โ€” Quick Scan
Skim the downloaded PDF report for 5-star questions and topic headings. Use it as a last-minute confidence checklist.
๐Ÿ“„ PDF Analysis Report

After analysis completes, download a full PDF report with every ranked question, topic breakdown, and star ratings โ€” formatted for printing and offline revision.

๐Ÿ“‹ What's in the Report
โ€ข Subject name (AI-detected)
โ€ข Summary: total, unique, repeated question counts
โ€ข Top 15 most repeated questions with star rating
โ€ข Importance score for each question
โ€ข Frequency and papers appeared in
โ€ข Topic-wise ranking table
โ€ข Top 10 unique questions
๐Ÿ–จ How to Use the Report
โ€ข Print and annotate while revising
โ€ข Share with your study group or class
โ€ข Use the topic list as your syllabus checklist
โ€ข Compare last year's report to spot trends
โ€ข Keep one saved per subject for quick access
โ€ข Combine with notes for targeted preparation
๐Ÿ’พ Report Specs
โ€ข Format: A4 PDF, portrait orientation
โ€ข Generated by jsPDF โ€” no server involved
โ€ข Dark-themed layout for readability
โ€ข Filename: Peparlance_QuestionRank_Report.pdf
โ€ข Instant download โ€” no email required
โ€ข Re-download any time from the results panel
โ„น๏ธ Run an analysis first, then click โฌ‡๏ธ Download PDF Report in the results section below.
๐Ÿš€ Start Analysis
Quick Reference โ€” Analysis Pipeline
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Upload PDFs

Add 2+ past question papers as PDFs โ€” scanned or digital.

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OCR + Extract

Text extracted by PDF.js; scanned pages go through Tesseract OCR.

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Clean Questions

Headers, footers, page numbers, and instructions are removed automatically.

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AI Analysis

Local engine clusters & ranks questions; AI refines subject & topic names.

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Score & Rank

Importance Score = 60% Frequency + 20% Similarity + 10% Marks + 10% Recency.

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Download Report

Get a full PDF report with rankings, topics, and star ratings.

About Peparlance

Peparlance is a smart question-paper analyser built for students and educators. It uses the QuestionRank AI engine โ€” a local clustering algorithm refined with AI โ€” to detect patterns across multiple past papers, score question importance, and surface high-probability exam questions. Upload any board, university, or competitive exam papers and get instant insight.

Pattern Detection OCR Support Star Ranking PDF Report Mobile Ready