What Is an AI True/False Generator?
An AI true/false generator creates fact-based binary questions from your content using artificial intelligence.
The tool works by analyzing your source material — text, documents, or topics — and extracting factual statements that can be evaluated as true or false. It generates balanced sets of questions with a mix of true and false answers, along with explanations that help learners understand why each statement is correct or incorrect. This makes it ideal for formative assessments, study guides, and quick comprehension checks.
What makes a true/false question worth asking
True or false is the easiest question type to write badly, because a statement that is merely true is not yet a question. If the statement is something nobody in the room would dispute, everyone answers correctly and you have learnt nothing about who understands. The useful ones sit exactly where a misconception lives: they are false in one specific, identifiable way, and a student who holds the misconception will read them as obviously true. That is why roughly half of any set should be false, and why each false one should be wrong for a reason you could name.
There is also a well-known way to fail: absolutes. A statement containing 'always', 'never' or 'all' is usually false, and 'sometimes' or 'can' is usually true — and students work this out long before they work out the content. A class that has been taught the trick will out-perform its own understanding on any set full of absolutes. Questions here are written to avoid them, but it is worth a scan before you print, and deleting any that slipped through. The one-in-two guess rate is the other limit worth respecting: use enough statements that guessing cannot carry a student.
Everything here runs without an account, three a day, and nothing is saved to our servers. If you want a lower guess rate and a note on which wrong answer will tempt your class, the MCQ generator writes multiple choice from the same material, with a printable answer key.