Making Flashcards and Classroom Materials from a Word List
July 2026 • 8 min read
Teachers spend a startling number of unpaid evenings making materials. If your vocabulary list already exists as text, turning it into a set of clean image cards should take five minutes rather than an evening — and the result is reusable, printable and importable into whatever app your students use.
Why images rather than plain text?
A fair question, since most flashcard apps accept text directly. Images earn their place in specific situations:
- Typography you control. An app renders text in its own font at its own size. An image looks exactly as you designed it on every device — which matters when you are teaching letter forms, or when a font choice is pedagogically deliberate.
- Scripts that render unreliably. Some apps mangle diacritics, right-to-left text, or less common scripts. An image cannot be re-rendered wrongly.
- Print and digital from one source. The same PNG goes into a worksheet, a slide, a printed card and a flashcard app.
- Interactive whiteboards and slides. Dragging an image onto a slide is quicker and more reliable than fighting a text box.
- Consistency across a set. Every card is mechanically identical, which reduces visual noise while students are concentrating on content.
For a straightforward English vocabulary deck, plain text in Anki is genuinely simpler and you should use it. Reach for images when one of the reasons above applies.
The basic workflow
Step 1: Get one item per line
Most vocabulary lists start life in a spreadsheet or a document. Copy the column you want into a plain text editor so you can see exactly what you have — one word or phrase per line, no blanks, no stray tabs. If your list has both a term and a definition, handle them as two separate passes (see below).
Step 2: Size for the back of the room
Set the font size far larger than feels necessary — 72px or more. Cards get viewed on phones, projected onto walls, and printed small. You can always scale an image down cleanly; scaling up produces the soft, blurry cards that make a resource look thrown together.
Step 3: Choose a plain, high-contrast font
Black on white, one of the standard sans-serif faces, centred. This is not the place for personality. For early readers, be aware that many sans-serif fonts draw a single-storey lowercase "a" and a lowercase "l" that is identical to capital "I" — worth checking against how your students are taught to form letters.
Step 4: Use a fixed width for uniform cards
Set the width to comfortably fit your longest entry, then leave it fixed for the whole set. Every card comes out the same dimensions, which is what makes them tile neatly into a printable grid and display consistently in an app. Check the longest item first — this is the step people skip and then redo.
Step 5: Generate and download as ZIP
Paste the full list, generate, and download everything as a single ZIP. Extract into a dedicated, empty folder named for the topic and class — you will want to find this again next term.
Two-sided cards
Flashcards need a front and a back, and the tidiest approach is two separate passes: generate all the fronts from your terms list, then all the backs from your definitions list, keeping both in the same order.
Order is everything here. Before you generate, confirm that line 17 of your terms list corresponds to line 17 of your definitions list. Sorting one list and not the other is the classic way to produce a beautifully typeset deck where every answer is wrong. Keep the two columns side by side in your spreadsheet and copy them out without re-sorting.
Be aware of the file-ordering catch too: most systems sort filenames as text, so card10 comes before card2. If you are matching fronts to backs by filename, use zero-padded numbering (001, 002) so the order you see matches the order you intend.
Printing them properly
For physical cards, generate at generous resolution — print needs far more pixels than a screen. As a rough guide, a card intended to be printed around 9cm wide wants somewhere near 1000 pixels of width to look crisp rather than soft.
Place the images into a table in a word processor, or a grid in a slide deck sized to your paper. Six per A4 sheet is a comfortable size for handheld cards. Two practical notes: leave a few millimetres of margin inside each cell so home printers do not clip your text, and print one test sheet before committing to thirty. Card stock is expensive and printer margins are unpredictable.
If you want double-sided cards, print fronts, flip the stack, and print backs — but test with two sheets first, because whether you flip on the long or short edge changes which back lands on which front, and getting it wrong wastes the whole batch.
Getting them into a flashcard app
Most spaced-repetition apps accept images on either side of a card. In Anki, the usual route is to copy your image folder into the collection's media folder, then import a CSV where the field contains an image tag referencing the filename. Consistent, predictable filenames make this painless and inconsistent ones make it miserable — another reason to fix naming before you start.
Simpler apps may want you to attach images card by card. For a 200-word deck that is not worth it; use plain text there and save the image workflow for the sets that genuinely need it.
Beyond vocabulary
The same one-line-one-image pattern covers a surprising amount of classroom material:
- Group and station labels — table numbers, group letters, activity stations.
- Sentence-building strips — one word per image, printed and cut, for physically arranging sentences.
- Number and maths cards — digits, times tables, fractions as individual cards.
- Classroom display words — a topic word wall, all set consistently.
- Sorting activities — terms to be grouped into categories on a desk or a whiteboard.
- Name labels — trays, pegs, books, at the start of term.
Why this matters for student data
One point worth being explicit about, since class lists contain children's names. Everything in our tools runs inside your own browser — the text you paste is never transmitted to a server, because there is no server-side processing to transmit it to.
For a teacher generating name labels for thirty pupils, that is not a marketing detail: uploading a list of children's names to an unknown free web service is exactly the sort of thing school data-protection policies exist to prevent. Local processing sidesteps the question entirely.
Start with one set
Take a single vocabulary list you already have, paste it into the Text to Image Converter, and generate. Once you have the settings that suit your class, every future set is a two-minute job — and the settings are worth writing down somewhere so next term's you does not have to rediscover them.