Menu Digitization: Convert Paper Menus to Structured Data with AI
Menu digitization is not just OCR. It is turning real menus into a reusable structure: sections, dishes, prices, descriptions, and images.
What menu digitization means in practice
Most menus start as a PDF or a photo taken in a restaurant. Digitization means turning that into clean, reusable data that can power websites and apps.
Menu AI extracts the structure of the menu so you do not end up with a single block of text that still needs hours of cleanup.
- Sections and headings
- Dish names and descriptions
- Prices
- Optional dish images
Why businesses digitize menus
Restaurants digitize to update their website and improve conversion with photos. Delivery platforms digitize to accelerate onboarding and reduce manual data entry.
Once digitized, updates are faster: you can re-run the flow when a menu changes instead of rebuilding from scratch.
Outputs you can reuse
Digitized menus are useful when they can be reused across channels. Menu AI focuses on outputs that help teams keep consistency.
- Shareable menu pages
- Dish image generation
- Menu translation workflows
- Consistent naming across platforms
Explore more
Create menu photos without a photoshoot. Keep nutrition and allergens consistent.
Digitize menus in bulk with consistent dish images and structured data.
When you need real dish images and structured outputs—not just design templates.
FAQ
Is menu digitization the same as OCR?
OCR is a part of it. Digitization also extracts structure (sections, dishes, prices) so the output is usable.
Can I digitize menus from PDFs?
Yes. PDFs and photos are supported.