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StudyX AI

Turns PDFs, handwritten notes, and YouTube lectures into strong MCQ practice with hidden answers and chat-based upgrades.

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3 input typesHidden answersChat upgradesFree credits
TL;DR — our verdictUpdated August 2026 · 9 test artifacts

Strongest on MCQ quality and live study flow

Where it wins
  • You want quizzes from typed PDFs, scanned handwritten notes, or YouTube lectures.
  • You care most about MCQ distractor quality and immediate explanations.
  • You want hidden-answer practice and a live score count during a study session.
Main limitation
  • You need export/share, flashcards, or LMS integration confirmed.
Pricing (verified plans)
Free 30 credits/day
Strongest test artifacts
OUTPUT →YouTube quiz questions →

Our take

StudyX AI was the strongest performer in this research on native MCQ quality and active-recall flow. It handled typed PDFs, scanned handwritten notes, and YouTube input, hid answers by default, and added explanations plus a live score count; the main tradeoffs are that non-MCQ formats rely on chat prompts and credits, and the longer-term study loop features were not demonstrated.

Download video: Demo video
Screen recording of the upload-to-quiz workflow, from file selection through generated quiz output and chat-generated follow-up questions.

In-Depth Review

Our detailed analysis of StudyX AI — features, performance, and real-world testing.

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AI Demos Team
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Verified Review

Feature-by-Feature Breakdown

Quiz Generation from Study Materials
Worked well across typed PDF, scanned handwritten notes, and YouTube input.
▾
Test Summary
Feature tested: Quiz Generation from Study Materials
Result: Passed — Worked well across typed PDF, scanned handwritten notes, and YouTube input.

Feature tested: Quiz Generation from Study Materials

Result: Passed

Verdict: Worked well across typed PDF, scanned handwritten notes, and YouTube input.

Expected behavior: StudyX AI can turn study materials into quizzes from multiple source formats, including a typed NCERT PDF, a scanned handwritten-notes PDF, and a YouTube lecture URL.

Test case: PDF document → Image

Input type: PDF document

Input used: Input artifact (PDF document): INPUT — input1_primary.pdf

Observed output: Output artifact (Image): The native MCQ options on the double-fertilization question were closely related, with option C marked correct. — out1_pdf_mcq_options.png

Input artifact: Input artifact (PDF document): INPUT — input1_primary.pdf

Output artifact: Output artifact (Image): The native MCQ options on the double-fertilization question were closely related, with option C marked correct. — out1_pdf_mcq_options.png

What changed: PDF document transformed into Image

Test case: PDF document → Video file

Input type: PDF document

Input used: Input artifact (PDF document): INPUT — input2_secondary.pdf

Observed output: Output artifact (Video file): The scanned handwritten notes were read successfully and turned into a quiz covering water for fertilization, mature embryo sac structure, tapetum, and filiform apparatus. — out2_handwritten_output.mp4

Input artifact: Input artifact (PDF document): INPUT — input2_secondary.pdf

Output artifact: Output artifact (Video file): The scanned handwritten notes were read successfully and turned into a quiz covering water for fertilization, mature embryo sac structure, tapetum, and filiform apparatus. — out2_handwritten_output.mp4

What changed: PDF document transformed into Video file

Test case: YouTube video → Image

Input type: YouTube video

Input used: Input artifact (YouTube video): YouTube lecture input

Observed output: Output artifact (Image): The YouTube lecture was ingested directly, and the resulting quiz questions were relevant enough to go beyond basic recall. — out3_youtube_good_questions.png

Input artifact: Input artifact (YouTube video): YouTube lecture input

Output artifact: Output artifact (Image): The YouTube lecture was ingested directly, and the resulting quiz questions were relevant enough to go beyond basic recall. — out3_youtube_good_questions.png

What changed: YouTube video transformed into Image

Test case: PDF document → Video file

Input type: PDF document

Input used: Input artifact (PDF document): INPUT — input1_primary.pdf

Observed output: Output artifact (Video file): The typed NCERT chapter produced a 20-question quiz with conceptually relevant options and explanations on botany topics such as pollination, embryo sac structure, and seed development. — out1_ncert_output.mp4

Input artifact: Input artifact (PDF document): INPUT — input1_primary.pdf

Output artifact: Output artifact (Video file): The typed NCERT chapter produced a 20-question quiz with conceptually relevant options and explanations on botany topics such as pollination, embryo sac structure, and seed development. — out1_ncert_output.mp4

What changed: PDF document transformed into Video file

Test case: YouTube video → Video file

Input type: YouTube video

Input used: Input artifact (YouTube video): INPUT

Observed output: Output artifact (Video file): The direct YouTube URL was accepted without a pasted transcript and produced a quiz output page for the same chapter. — out3_youtube_output.mp4

Input artifact: Input artifact (YouTube video): INPUT

Output artifact: Output artifact (Video file): The direct YouTube URL was accepted without a pasted transcript and produced a quiz output page for the same chapter. — out3_youtube_output.mp4

What changed: YouTube video transformed into Video file

Why it matters / Conclusion: Strongest on typed PDFs, but handwritten OCR and direct YouTube ingestion also worked.

StudyX AI can turn study materials into quizzes from multiple source formats, including a typed NCERT PDF, a scanned handwritten-notes PDF, and a YouTube lecture URL.

pdf
input1_primary.pdf
↓
image
Output artifact for "Quiz Generation from Study Materials" test: The native MCQ options on the double-fertilization question were closely related, with option C marked correct., out1_pdf_mcq_options.png
The native MCQ options on the double-fertilization question were closely related, with option C marked correct.
pdf
input2_secondary.pdf
↓
video
Download video: out2_handwritten_output.mp4
The scanned handwritten notes were read successfully and turned into a quiz covering water for fertilization, mature embryo sac structure, tapetum, and filiform apparatus.
INPUT
A 23-minute YouTube biology lecture on sexual reproduction in flowering plants.
↓
image/png
Output artifact for "Quiz Generation from Study Materials" test: The YouTube lecture was ingested directly, and the resulting quiz questions were relevant enough to go beyond basic recall., out3_youtube_good_questions.png
The YouTube lecture was ingested directly, and the resulting quiz questions were relevant enough to go beyond basic recall.
pdf
input1_primary.pdf
↓
video
Download video: out1_ncert_output.mp4
The typed NCERT chapter produced a 20-question quiz with conceptually relevant options and explanations on botany topics such as pollination, embryo sac structure, and seed development.
INPUT
YouTube lecture URL: https://youtu.be/frlnV_CcQw8?si=RX-jYRtxtRYD3bw_
↓
video
Download video: out3_youtube_output.mp4
The direct YouTube URL was accepted without a pasted transcript and produced a quiz output page for the same chapter.
Bottom Line
Strongest on typed PDFs, but handwritten OCR and direct YouTube ingestion also worked.
From our researchearlier researchGenerate Quizzes and Practice Tests from Study Material Using AI
Active Recall Quiz Interface
Good for self-directed recall, but the reveal is user-controlled rather than locked.
▾
Test Summary
Feature tested: Active Recall Quiz Interface
Result: Partial — Good for self-directed recall, but the reveal is user-controlled rather than locked.

Feature tested: Active Recall Quiz Interface

Result: Partial

Verdict: Good for self-directed recall, but the reveal is user-controlled rather than locked.

Expected behavior: StudyX AI runs quizzes with answers hidden by default and lets learners reveal answers and explanations after attempting each question, supporting manual self-testing during a practice session.

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): The quiz keeps the answer behind a 'Show answer & explanation' toggle, so the learner can attempt first and then reveal the explanation. — out1_answer_hidden.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): The quiz keeps the answer behind a 'Show answer & explanation' toggle, so the learner can attempt first and then reveal the explanation. — out1_answer_hidden.png

What changed: Text prompt transformed into Image

Why it matters / Conclusion: Good for active recall practice, but the tool does not prevent answer-peeking.

StudyX AI runs quizzes with answers hidden by default and lets learners reveal answers and explanations after attempting each question, supporting manual self-testing during a practice session.

INPUT
Take a quiz question with the answer hidden until the learner reveals it.
↓
image
Output artifact for "Active Recall Quiz Interface" test: The quiz keeps the answer behind a 'Show answer & explanation' toggle, so the learner can attempt first and then reveal the explanation., out1_answer_hidden.png
The quiz keeps the answer behind a 'Show answer & explanation' toggle, so the learner can attempt first and then reveal the explanation.
Bottom Line
Good for active recall practice, but the tool does not prevent answer-peeking.
From our researchGenerate Quizzes and Practice Tests from Study Material Using AIearlier research
Question Type Conversion and Rewriting
Useful add-on for non-MCQ practice and question restyling, but it depends on chat prompts and credits.
▾
Test Summary
Feature tested: Question Type Conversion and Rewriting
Result: Partial — Useful add-on for non-MCQ practice and question restyling, but it depends on chat prompts and credits.

Feature tested: Question Type Conversion and Rewriting

Result: Partial

Verdict: Useful add-on for non-MCQ practice and question restyling, but it depends on chat prompts and credits.

Expected behavior: StudyX AI can transform chapter content into other question formats and restyle questions, including true/false, fill-in-the-blanks, short-answer, and more application-style prompts.

Test case: Text prompt → Video file

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Video file): The chat pane generated fill-in-the-blanks and short-answer prompts from the same chapter, showing that non-MCQ formats are possible through chat. — out1_chat_truefalse_fillinblanks.mp4

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Video file): The chat pane generated fill-in-the-blanks and short-answer prompts from the same chapter, showing that non-MCQ formats are possible through chat. — out1_chat_truefalse_fillinblanks.mp4

What changed: Text prompt transformed into Video file

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): The original coleoptile question was rewritten into a scenario-style MCQ while keeping the same underlying concept. — out_reframed_question.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): The original coleoptile question was rewritten into a scenario-style MCQ while keeping the same underlying concept. — out_reframed_question.png

What changed: Text prompt transformed into Image

Why it matters / Conclusion: Works well for format expansion and question restyling, but the extra chat step and credit cost make it a secondary workflow.

StudyX AI can transform chapter content into other question formats and restyle questions, including true/false, fill-in-the-blanks, short-answer, and more application-style prompts.

INPUT
Based on the same chapter, create 5 True/False questions, 5 Fill in the Blanks, and 5 Short Answer Questions. Use only the chapter content and include an answer key.
↓
video
Download video: out1_chat_truefalse_fillinblanks.mp4
The chat pane generated fill-in-the-blanks and short-answer prompts from the same chapter, showing that non-MCQ formats are possible through chat.
INPUT
Reframe the question about the coleoptile in monocot embryos into a more application-style question.
↓
image
Output artifact for "Question Type Conversion and Rewriting" test: The original coleoptile question was rewritten into a scenario-style MCQ while keeping the same underlying concept., out_reframed_question.png
The original coleoptile question was rewritten into a scenario-style MCQ while keeping the same underlying concept.
Bottom Line
Works well for format expansion and question restyling, but the extra chat step and credit cost make it a secondary workflow.
From our researchearlier researchGenerate Quizzes and Practice Tests from Study Material Using AI
In-Session Score Tracking
Shows a live correct/incorrect count during the session.
▾
Test Summary
Feature tested: In-Session Score Tracking
Result: Partial — Shows a live correct/incorrect count during the session.

Feature tested: In-Session Score Tracking

Result: Partial

Verdict: Shows a live correct/incorrect count during the session.

Expected behavior: StudyX AI tracks correct and incorrect answers during an active quiz and shows a live score card for immediate feedback within the session.

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): The score card shows correct and incorrect counts updating within the quiz session. — out1_score_tracker.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): The score card shows correct and incorrect counts updating within the quiz session. — out1_score_tracker.png

What changed: Text prompt transformed into Image

Why it matters / Conclusion: Useful for immediate feedback in a single sitting, but no persistent progress history was demonstrated.

StudyX AI tracks correct and incorrect answers during an active quiz and shows a live score card for immediate feedback within the session.

INPUT
Answer quiz questions during the session and observe the live score card.
↓
image
Output artifact for "In-Session Score Tracking" test: The score card shows correct and incorrect counts updating within the quiz session., out1_score_tracker.png
The score card shows correct and incorrect counts updating within the quiz session.
Bottom Line
Useful for immediate feedback in a single sitting, but no persistent progress history was demonstrated.
From our researchearlier researchGenerate Quizzes and Practice Tests from Study Material Using AI

Free tier tested

Credits-based usage was observed during the test session.

TESTED
Free
30 credits/day
7 credits per quiz generation; 2 credits per AI chat message.

Paid tiers were not tested.

✓ Use This If
●You want quizzes from typed PDFs, scanned handwritten notes, or YouTube lectures.
●You care most about MCQ distractor quality and immediate explanations.
●You want hidden-answer practice and a live score count during a study session.
●You’re okay using chat credits when you need true/false, fill-in-the-blanks, or short-answer formats.
✕ Skip This If
●You need export/share, flashcards, or LMS integration confirmed.
●You need spaced repetition, adaptive difficulty, or retake history demonstrated.
●You need non-MCQ quiz types natively without chat prompts.
●You want a hard commit-then-reveal lock that prevents answer peeking.
education-researchquiz-generatortextStudentTeacher
Yes. In this research it successfully processed a typed PDF, a scanned handwritten-notes PDF, and a direct YouTube lecture URL.
The native quiz output in this test was MCQ-only. True/False, fill-in-the-blanks, and short-answer items were generated through chat prompts instead, and those used extra credits.
Yes. Answers are hidden by default and revealed with a toggle, but the interface does not force an answer submission before reveal.
Yes. The preserved session showed a live correct/incorrect score tracker during the quiz.
Flashcards and export were not tested in this research, so neither was confirmed. The report also did not preserve evidence for LMS integration.
The report states 30 credits per day on the free tier, with 7 credits used per quiz generation and 2 credits per AI chat message.

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