Image to Quiz

How to turn an image into a quiz

1. Choose the language that matches the image text, then attach a supported image.
2. Select the question count and difficulty for the quiz.
3. When you select Generate, browser-based OCR extracts readable text from the image.
4. The extracted text becomes the source material used to draft questions.
5. Review both the extracted text placed in the input field and the generated questions.
6. If OCR made an important mistake, correct the text and generate again from the revised source.

The current language control offers English, French, and Arabic and selects the OCR language used for the image text. The workflow reads text; it does not interpret a diagram, photograph, or illustration as visual subject matter.

What images work best?

Use a clear PNG, JPG, JPEG, or WebP image with readable text, good contrast, and enough resolution for letters and punctuation to remain distinct. A tightly cropped page usually gives OCR less irrelevant material to process.

Blur, glare, shadows, rotation, stylized fonts, tiny lettering, and dense multi-column layouts can reduce extraction quality. If possible, straighten the page and crop out backgrounds before attaching it.

What can you use Image to Quiz for?

Useful sources include screenshots of readable explanations, photographed study notes, a textbook section, worksheet instructions, and printed revision material. The important part is that the image contains enough legible text to support questions.

For selectable words that you already have, paste the source into Text to Quiz and skip OCR. For a multi-page document, PDF to Quiz may provide a more direct workflow.

How OCR affects quiz quality

OCR converts visible letter shapes into text. A misread date, missing negative word, merged column, or broken sentence becomes a source-quality problem for the quiz generator. Clear printed text generally produces better evidence than handwriting or a low-resolution photograph.

Check names, numbers, symbols, and key definitions in the extracted text. Correcting an OCR error before another generation request helps prevent that error from influencing a question or answer.

Source-grounded quiz generation

Candidate questions are checked against the supplied or extracted source. Candidates without adequate source support can be rejected. If the readable material cannot support the requested count, Docs2Quiz may return fewer reliable questions instead of deliberately filling the quota with unsupported ones.

This quality check reduces unsupported output, but it does not guarantee perfect questions. Compare important answers and explanations with the corrected source.

Privacy and image processing

Text extraction is performed in your browser where supported. When you request AI quiz generation, the extracted text needed for generation is sent to the generation service.

The source image is used by the browser OCR workflow. Avoid attaching confidential material, and review the extracted text before reusing or sharing generated questions.

Image to Quiz example

This is an original illustrative example, not the result of a live generation request.

Image to Quiz limitations

Unreadable text, blur, low contrast, severe rotation, decorative lettering, handwriting, complex layouts, and incomplete source material can lead to missing or incorrect OCR text. The tool extracts text rather than understanding visual diagrams or unlabeled objects.

If no usable text is found, generation cannot continue. OCR and AI generation can also be interrupted by browser, network, or generation-service availability. For a broad workflow covering several source types, use the Quiz Generator.

Frequently asked questions