Free · Fast · Privacy-first

MCQ Generator: Create Multiple-Choice Questions in Seconds

Writing a clean multiple-choice question is harder than it looks.

Five A/B/C/D questions per run with answer key

🔒

Distractors are plausible, not throwaway filler

800 free characters, 8,000 on paid tier

Nothing stored, no account, no watermark

Cost
Free forever
Sign-up
Not required
Processing
In your browser
Privacy
Files stay local
FreeNo signupWhite-label

Add this Quiz Generator to your website

Drop the Quiz Generator into any page — blog post, product docs, intranet, school portal — with a single line of HTML. Your visitors get the full tool, processed entirely in their browser. No backend, no uploads, no signup.

  • Files stay 100% in the visitor's browser
  • Responsive — adapts to any container width
  • Free forever, no API key needed

Embed code

<iframe
  src="https://www.fixtools.io/ai/quiz-generator?embed=1"
  width="100%"
  height="780"
  frameborder="0"
  style="border:0;border-radius:16px;max-width:900px;"
  title="Quiz Generator by FixTools"
  loading="lazy"
  allow="clipboard-write"
></iframe>

Attribution-friendly: a small "Powered by FixTools" link appears in the embed footer.

How an MCQ Generator Writes Good Multiple-Choice Questions

The hardest part of writing a multiple-choice item has never been the stem. It has always been the distractors. A weak distractor is one that any reasonable student will eliminate at a glance, which collapses the four-option question into a true-false question with extra steps. A good distractor sits inside the same conceptual neighbourhood as the correct answer, shares vocabulary with the source text, and represents a plausible misreading that a student who half-remembers the material could realistically choose. The FixTools MCQ generator was tuned specifically against this distractor problem. When it reads your passage it does not just extract facts, it also extracts the near-misses around each fact: the wrong dates that students often confuse, the related concepts that share terminology, the inverse relationships that swap cause for effect. Those near-misses become the distractors, which is why the output looks like a textbook question rather than a quiz generated by something that did not understand what it was writing.

The second axis that matters is cognitive level. Bloom's Taxonomy is the framework most teacher training programmes use to talk about this, and it splits learning into six tiers running from remember and understand at the bottom up through apply, analyze, evaluate, and create at the top. Multiple-choice format works extremely well at the bottom two tiers because remembering a fact and understanding a relationship both map cleanly onto a single correct answer. It works moderately well at the apply and analyze tiers when the source material includes worked examples or comparison cases, because the question can then point at a specific applied scenario. It works poorly at evaluate and create because those tiers genuinely require open-ended thinking that no four-option format can capture honestly. The MCQ generator is calibrated to produce questions at the lower three tiers reliably, and you should treat anything beyond that as a starting point you will need to edit by hand.

Source text quality drives output quality more than any other single variable. A clean paragraph from a textbook with proper sentence structure, defined terminology, and explicit cause-and-effect statements will produce questions that look like they came from the textbook itself. A messy paste full of bullet points, broken sentences, embedded image captions, or marketing fluff will produce questions that reflect that mess. Before running the tool, take thirty seconds to clean your source: strip page numbers and headers, remove footnote markers, expand any abbreviations that the model might not recognise, and make sure each fact you want tested is stated as a complete sentence rather than as a fragment. This editing step is often the difference between output you can use directly and output you have to rewrite. Teachers who have used the tool across a full term consistently report that the time spent cleaning the source is recovered five times over in reduced editing on the back end.

The 800-character ceiling on the free tier is a quality decision, not a billing decision. When you paste an entire chapter and ask for five questions, the model has to silently decide which five of perhaps fifty testable claims to write about, and its choices may not match the choices a human teacher would make. By forcing each free run to focus on one tight concept, the tool stays out of that editorial role and leaves the choice of what to test in your hands. The right rhythm is to read your source, identify the next 130-word chunk you want to test, paste only that chunk, generate the questions, and move on. The paid tier exists for a fundamentally different workflow: bulk question bank construction, where you want maximum variety across a large source and you intend to manually curate down to the strongest items afterwards. Both workflows are legitimate, and they reward different paste habits.

How to use this tool

💡

Paste your source passage into the MCQ generator and click Run. For one focused concept, keep the input under 800 characters. For broader review banks, use the paid tier and run the same source multiple times to build a deduplicated question pool.

How It Works

Step-by-step guide to mcq generator: create multiple-choice questions in seconds:

  1. 1

    Paste your source passage

    Open the MCQ generator and drop your textbook paragraph, lecture notes, or article excerpt into the input box. Aim for one tight concept per run on the free tier, which means roughly 130 words or 800 characters. Cleaner source text produces cleaner questions, so strip out page headers, footnote markers, and any abbreviations the model might misread before you paste.

  2. 2

    Click Run MCQ Generator

    Hit the run button and wait roughly five to ten seconds while the tool reads the passage, extracts the testable claims, and writes five A/B/C/D questions along with an answer key. Output streams in question by question, so you can start reading the first item before the fifth one finishes generating.

  3. 3

    Verify each correct answer against the source

    Read every question and confirm that the marked correct option is genuinely supported by the passage you pasted. Auto-generated keys are usually right, but a quick five-second check on each item catches the occasional misalignment before it reaches your students or trainees.

  4. 4

    Edit or reject weak distractors

    Look at the three wrong options on each question. If any distractor is obviously implausible, swap it for a stronger near-miss drawn from the same source. If two options could both be defended as correct, delete the whole item rather than trying to repair it and rerun the generator on the same paragraph for a clean replacement.

  5. 5

    Copy into your LMS or printable handout

    Use the copy button to grab the full quiz as formatted text and paste it into Google Docs, Word, Canvas, Moodle, Blackboard, or any learning management system that accepts pasted multiple-choice items. The answer key copies separately so you can keep it hidden when distributing the questions to students.

Real-world examples

Common situations where this approach makes a real difference:

High school biology teacher building a cell division review

A tenth-grade biology teacher pastes a 700-character paragraph from her lecture notes covering the phases of mitosis. The MCQ generator produces five questions covering prophase, metaphase, anaphase, telophase, and the role of the centrosome. She reruns on the same paragraph for ten more questions, deduplicates two near-identical items on metaphase chromosome alignment, and ends up with thirteen usable questions for tomorrow's warm-up activity. Total time from paste to printable handout is under eight minutes.

College sophomore self-testing before a constitutional law exam

A pre-law student preparing for a midterm pastes a 750-character summary of the Marbury v. Madison decision into the generator. The five questions test the year, the chief justice, the doctrine of judicial review, the underlying writ of mandamus issue, and the political context of the lame-duck Adams appointments. He works through the quiz cold, identifies that he confuses the writ of mandamus with the writ of certiorari, and uses that gap to focus his next two hours of review on the specific procedural distinction.

Corporate compliance trainer assembling a refresher module

A learning and development specialist at a regional bank needs a forty-question refresher on the firm's updated anti-money-laundering policy. She uses the paid tier to paste 8,000 characters of the policy text and runs the generator eight times, producing forty questions with substantial topic overlap but enough variation to dedupe down to twenty-eight strong items. Manually writing twelve additional items targeted at specific transaction-monitoring thresholds completes the bank, and the module loads into the LMS by end of day rather than end of week.

Private tutor producing weekly homework for a middle-school client

An after-school tutor working with a sixth-grader on US geography pastes a paragraph about the Mississippi River watershed each Friday afternoon. The generator produces five questions touching on tributaries, the states the river borders, the river's historical role in trade, the source lake, and the delta. The tutor prints the quiz onto a single sheet, sends it home with the student as weekend homework, and goes over the answers in Monday's session. Weekly preparation time drops from forty-five minutes to under ten.

When to use this guide

Use this when you need fast multiple-choice questions from a specific passage, lecture transcript, or set of notes, without spending an hour drafting distractors by hand.

Pro tips

Get better results with these expert suggestions:

1

Generate three times and deduplicate

Run the same source paragraph through the MCQ generator three times in succession. Because the model samples from a probability distribution rather than producing a deterministic output, you typically get fifteen questions with roughly four to six near-duplicates and nine to eleven genuinely distinct items. Manually drop the duplicates and the weakest two or three, and you have a deduplicated bank of seven to nine strong questions from a single short passage. This approach consistently outperforms a single run when you need more than five items but you do not want to expand the source.

2

Use the questions as a comprehension diagnostic before teaching

Give the auto-generated quiz to your class before you teach the material rather than after. The questions students get wrong show you exactly which testable claims they cannot already infer from prior knowledge, which is the most useful possible signal for deciding where to spend lecture time. This flips the typical use of formative assessment from after-the-fact verification to before-the-fact prioritisation, and it costs nothing extra because the quiz was already generated.

3

Pair with a flashcard pass on the same source

After you have generated and curated your MCQ set, paste the same source into the FixTools PDF-to-Flashcards tool to produce single-fact recall cards covering the same material. Students working through both formats get the discrimination practice that multiple choice provides and the active recall practice that flashcards provide, which together cover a wider span of Bloom's tiers than either format alone. The shared source means the two outputs reinforce each other rather than testing slightly different content.

4

Reject any item where two answers could be defended

The single most common failure mode in auto-generated MCQ output is an item where the correct answer is technically right but a distractor is also defensible under a charitable reading of the source. When you see this, do not edit the item, simply delete it. Item-level repair takes longer than rerunning the generator on the same source, and the rerun typically produces a clean replacement. Building this reject-and-rerun habit early keeps your final question bank free of the ambiguous items that quietly destroy the validity of an assessment.

5

Paste one concept per run on the free tier

Keep each 800-character paste focused on a single idea so the generator picks the testable claims you actually want tested rather than guessing across topics.

6

Edit the source, not the output

A messy paste produces messy questions. Spending thirty seconds cleaning headers and abbreviations saves several minutes of rewriting questions afterwards.

7

Treat the answer key as a draft

Always verify the marked correct option against the source paragraph. Auto-generated keys are usually correct, but a five-second human check catches the rare miss before it reaches students.

FAQ

Frequently asked questions

Yes, the core tool is free and there is no credit card required to use it. The free tier accepts up to 800 characters of source text per run and produces five multiple-choice questions per run with an answer key. There are no daily usage caps, no watermarks on the output, and no requirement to create an account or hand over an email address. The paid tier raises the per-run character limit to 8,000 and is intended for bulk question-bank construction rather than individual quiz writing, but everything most teachers and students need sits comfortably inside the free tier.
Each run produces five multiple-choice questions, each with four answer options labelled A through D, and a separate answer key that you can copy independently from the questions. Five was chosen as the per-run count because it matches the natural granularity of one focused concept, which is also why the free tier character limit is set where it is. If you need more than five questions from a single passage, rerun the generator on the same source two or three times and deduplicate the results manually, which typically yields nine to thirteen distinct items from the same input.
The generator reliably produces remember-tier and understand-tier questions because those map cleanly onto fact retrieval from the source text. It will produce apply-tier and analyze-tier questions when your source includes worked examples, comparison cases, or explicit cause-and-effect statements, but the output quality at those tiers depends heavily on the source. For evaluate-tier and create-tier items, no multiple-choice format can really capture the open-ended thinking those levels require, and you are better off writing those items by hand and using the tool only for the lower three tiers.
Yes. The generator has been used productively for biology, chemistry, physics, mathematics, economics, computer science, history, geography, literature, business law, accounting, nursing, pharmacology, and several languages. Subjects that rely heavily on equations, code blocks, or chemical structures benefit from a quick source clean-up step where you spell out the symbolic content in natural language before pasting, because the model handles plain prose more reliably than dense mathematical notation. Once the source is in natural-language form, the question quality is consistent across disciplines.
Answer keys are correct in the large majority of cases, but a five-second human check on each item catches the rare miss before it reaches students. The most common failure mode is not an outright wrong key, it is an ambiguous item where the marked correct answer is right but a distractor is also defensible under a generous reading of the source. When you spot one of these, delete the whole item and rerun the generator rather than trying to edit the distractor, because the rerun typically produces a clean replacement faster than manual repair would.
No. The text you paste is sent to the inference endpoint that generates the questions and is discarded immediately after the response returns. Nothing is stored on FixTools servers, nothing is shared with third parties, and nothing is added to any training dataset. This matters for teachers pasting unpublished course material, students pasting from copyrighted textbooks for personal study use, and corporate trainers pasting internal policy documents that should not leave the organisation's control.
Today the export workflow is copy-and-paste into your LMS's native question editor, which works with every major platform including Canvas, Moodle, Blackboard, Schoology, Google Classroom, and Microsoft Teams Assignments. Dedicated exporters to Moodle XML, QTI, Quizlet, and Anki are on the development roadmap and will land first on the PDF-to-Quiz tool. In the meantime, the formatted text output pastes cleanly into the bulk question importers that most LMS platforms expose for power users.
English is the primary supported language and produces the highest output quality. Spanish, French, German, Italian, and Portuguese all produce usable output with a small accuracy cost relative to English. Languages with very different syntactic structures, non-Latin scripts, or limited representation in the underlying model's training data may produce inconsistent results, and we recommend you spot-check the first few questions carefully before relying on the tool for those languages.
There is no hard daily cap on the number of runs, and you can use the free tier as often as you need. Each individual run is capped at 800 characters of source text and produces five questions, so a sustained workflow of generating one quiz per minute is entirely supported. The paid tier exists for users who specifically need the longer 8,000-character context window for bulk generation, not for users who simply want to use the tool many times in a day.

Related guides

More use-case guides for the same tool:

Ready to get started?

Open the full Quiz Generator — free, no account needed, works on any device.

Open Quiz Generator →

Free · No account needed · Works on any device