Capture from Images
Photograph a textbook page, slide, whiteboard, or screenshot and Neurako will extract flashcard drafts using OCR and AI.
Last updated 2026-05-23
Point your camera at a textbook page, slide, whiteboard, or screenshot and Neurako uses OCR and AI to extract the content and generate flashcard drafts. Results are always shown for review before saving.
Key Takeaways
- Works with printed text, typed notes, presentation slides, and clear whiteboards — not well-suited to heavy cursive or very small text - Camera capture is primarily a mobile feature; web supports image file upload instead - The AI decides which content becomes which cards — always review and edit the drafts before saving - Good lighting and a flat, unobstructed view significantly improve extraction quality
How image capture works
Open the Create tab on mobile and tap the camera icon, or choose "Upload image" in the web create flow.
- Take a photo of your study material, or select an existing image from your library.
Neurako performs optical character recognition (OCR) to read the text, then the AI identifies key concepts and structures them into card front-and-back pairs.
- A preview screen shows every generated draft. Edit, delete, or add cards as needed.
- Save the reviewed cards to your deck.
The OCR and extraction steps happen on Neurako's servers. Results typically appear within a few seconds for a single page.
What works well
Image capture produces the best results with:
- Printed textbook pages — clean typography, high contrast, and defined structure give the AI clear material to work from
- Presentation slides — title-and-bullet layouts translate naturally to card fronts and backs
- Typed or printed notes — structured notes with clear headings, numbered lists, or defined terms
- Whiteboards with block lettering — large, clearly written text in high contrast
What works less well
Some inputs produce noisier results:
- Heavy cursive or stylized handwriting — OCR accuracy drops significantly with non-standard letterforms
- Very small text — font sizes that are hard to read in person are harder to extract digitally
- Low-contrast images — pencil on white paper, light ink, or washed-out photos reduce OCR reliability
- Cluttered or dense pages — pages with multiple columns, overlapping annotations, or dense footnotes may produce unexpected card groupings
Tips for better results
Lighting: Natural or bright even lighting works best. Avoid shadows across the page — they obscure characters and confuse OCR. If you're indoors, position the page near a window or under a ceiling light directly overhead.
Orientation: Hold the camera directly above the page rather than at an angle. Keystone distortion (trapezoidal skewing) reduces character recognition accuracy. Most phone cameras handle portrait and landscape equally well; use whichever fills the frame with your target content.
One page per capture: Avoid photographing two pages of an open book at once. The spine creates a shadow and the curved inner edges of the pages reduce text clarity. Capture each page separately.
Avoid shadows from your hand or phone: Hold the phone far enough above the page that your device doesn't cast a shadow over the content.
Reviewing and editing the results
Image capture is approximate — the AI makes decisions about which text segments belong together as a card, and those decisions aren't always right. After the extraction, expect to:
- Delete cards that contain irrelevant text (headers, footers, page numbers, captions)
- Fix fronts and backs where the AI split a concept incorrectly or reversed the question and answer
- Add cards manually for content the AI skipped or combined awkwardly
The review step is always required — captured cards are drafts, not finished output.
Use the camera icon in the Create tab to photograph study material directly. You can also select an existing image from your photo library if you've already taken a photo.
On web, choose "Upload image" in the create flow and select a screenshot or saved image file from your computer. Direct camera access is not available on web.
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