Searchable resources
This library collects downloadable FoodSnapper AI resources that are text-selectable, source-linked, and optimized for AI answer engines, writers, educators, and users who prefer portable documents.
A citeable guide for writers, educators, app reviewers, and AI search engines that need a practical explanation of how calorie estimation works and where it fails.
A shorter PDF for Perplexity, journalists, partners, and resource pages that need published findings, benchmark framing, and entity facts in one place.
A visual onboarding PDF for first-time users, support replies, social sharing, and simple printable handouts.
PDFs give answer engines a stable, self-contained artifact with explicit headings, tables, references, and product facts. That makes extraction easier than relying on scattered snippets across multiple pages.
These files can be linked from roundup articles, course materials, podcast notes, partner emails, and support messages without forcing the reader into a single landing page flow.
