Forky vs Lose It!.

Different shape, not strictly better. Snap It is single-photo whole-plate estimation: one tap, one number, fast. Forky's scan runs a three-pass component decomposition (base, toppings, sauces) and looks up macros per component instead of estimating the plate as one blob. On simple foods both are equivalent. On plated meals with multiple components, Forky's per-component approach typically lands ±10–15% versus the wider drift on single-photo estimates. The trade-off: Snap It is faster (one tap, no editing); Forky's flow takes a few extra taps but lets you adjust gram weights per component with live macro recompute.

No. Lose It! has no fridge inventory feature — every food still gets typed, searched, or barcode-scanned at log time. Forky scans up to three fridge photos with GPT-4o Vision, returns every visible edible ingredient with quantity and freshness, anchors a shelf-life expiry per item, and surfaces items expiring soonest in your meal suggestions.

Lose It! supports URL-based recipe import but coverage varies — many popular cooking sites work, but obscure ones often fail. Forky's import accepts four sources: URL (with structured-data parsing), photo (vision extracts ingredients and steps), PDF (OCR + parsing), and plain pasted text. The plain-text path means you can paste a recipe from anywhere — a Google Doc, an email, a screenshot transcript — and it works.

If your goal is weight loss within a calorie budget and you're happy to type or barcode-scan every food, Lose It! Premium at ~$40/year is excellent value. Forky's ~$80/year buys the AI scanner stack (fridge, plate, recipe), wearable-aware tracking, and an EU data-residency posture. The price reflects more surface, not a markup. Forky also offers weekly, monthly, and lifetime tiers — the lifetime Founders edition can work out cheaper than Lose It! after ~2 years if you stay on the app.

Lose It!, narrowly. Lose It! has 33M+ items built up over 15 years with a strong user-contribution flywheel — obscure regional packaged foods are usually already in the database. Forky pulls from Open Food Facts (2.6M products) plus its own AI vision for fresh / unpackaged food. The practical difference shows up when you scan a barcode on a niche regional product. For fresh ingredients and plated meals, Forky's vision pipeline matters more than database size.

Yes, but its UX and tracking is oriented around weight loss — calorie deficit, weight trend chart, weight-loss challenges. You can set macro targets and use it for recomp or performance, but you're going against the grain of the product. Forky is explicitly non-deficit-framed: targets adapt to your week, the Forky focuses on cooking and macros rather than weighing yourself daily. If you're not specifically trying to lose weight, Forky's framing fits better; if you are, Lose It!'s framing is purpose-built.

Lose It! is US-hosted with GDPR controls for EU users (data export, deletion). Forky is operated by Elie DTDR in Lausanne (Switzerland) with data hosted in France under EU law, with photos backed up to Cloudflare R2 encrypted and two-tap account deletion from anywhere in the app. If EU data residency matters to you specifically, Forky is the clearer choice; otherwise both are compliant.