OCR to Excel: Turn a Photo or Screenshot of Questions into a Structured Spreadsheet (No AI)
You have a picture of questions — a screenshot of a quiz, a photo of a printed page, a diagram snapped on your phone. You want that image in Excel as a question bank, not a wall of recognized text. Searching "ocr to excel", most tools flatten the picture into a text grid and lose the question logic. ExamParser treats the image as an exam and pulls out each question into a row (Number/Type/Stem/Option A–E/Answer/Marks/Difficulty). Deterministic, no AI.
Why OCR-to-Excel usually fails for exams
OCR reads characters, not meaning. A converter turns the picture into a grid of cells: a multiple-choice question's options get split across rows, the answer key detaches, and headings collide with question text. You end up re-typing the whole exam. What you need is an OCR step that feeds into a parser reading the file as an exam, mapping each question to one clean row.
Columns ExamParser outputs to Excel
One row is one question. With this structure you can re-import into any LMS and also edit by hand.
| Column | Meaning |
|---|---|
| Number | Question number |
| Type | Question type (single choice, multiple choice, true/false, written, etc.) |
| Stem | Question text (as written) |
| Option A … Option E | Choices (leave blank if unused) |
| Answer | Correct answer |
| Marks | Points (optional) |
| Difficulty | Difficulty (optional) |
If a question has an image, its URL is preserved per row, so you get an Excel that is free to edit, archive, and reuse.
OCR to Excel in 5 steps
Get the image
A screenshot, a phone photo, or a diagram. Any clear picture of questions works.
OCR the picture
The text in the image becomes selectable. ExamParser runs OCR and then reads the result as an exam.
ExamParser parses and exports Excel
It keeps one question per row and outputs a structured Excel (.xlsx) or CSV with Number/Type/Stem/Option A–E/Answer/Marks/Difficulty.
Edit and archive in Excel
Fix wording, reorder, or merge with other questions using your usual spreadsheet software.
Re-import into another LMS
From the same data you can also export to Moodle (GIFT/QTI), Canvas (QTI), Quizizz, and Kahoot — Excel becomes your hub.
Screenshots and photos work too
OCR handles any image source: a screenshot of a quiz, a photo of a printed question, or an illustrated diagram question. Each diagram question carries one image URL column, so pictured items are not lost.
Frequently asked questions
Will a normal ocr to excel tool keep my questions in order?
Usually not. A standard ocr-to-excel tool turns the picture into a flat grid of text cells. Question stems, options, and the answer key get split across rows, and you re-type everything. ExamParser treats the image as an exam and keeps one question per row with the stem, options, and answer key in fixed columns.
What columns are in the Excel file?
Number (question number), Type (question type), Stem (question text), Option A–E (choices, blank if unused), Answer (correct answer), Marks (points), and Difficulty (optional). If a question has an image, its URL is preserved too.
Does it work on screenshots and phone photos?
Yes. Any image works — a screenshot of a quiz, a photo of a printed question, or a diagram question. ExamParser OCRs the picture and parses it as an exam, preserving one image URL column per illustrated question.
How is this different from AI tools?
Many AI tools invent or rewrite questions and answers after reading the image. On a real exam that causes wrong grading. ExamParser converts what is written, exactly, into a structured Excel — the content is preserved. No AI is used.
Can I re-import this Excel into other LMS?
Yes. From the same parsed data you can also export to Moodle (GIFT/QTI), Canvas (QTI), Quizizz, and Kahoot. Once you hold the Excel, re-importing to other platforms is easy.
Hold your picture of questions in Excel
Stop re-typing a photo of an exam by hand, and stop letting AI invent the questions. Just send the image you already have, and turn it into Excel — questions and answers intact, free to edit and migrate.
Try ExamParser →