Svelio does two things most nutrition apps keep separate. It reads the actual food label, grading every nutrient against FDA Daily Values (high, moderate, low, with the math shown), flagging additives by risk, and catching the gap between front-of-pack marketing and the real ingredients. And it analyzes real meals from a photo, a home-cooked plate or a restaurant meal, with an estimate that is grounded in USDA data, self-checked, re-read from multiple angles, and measured with LiDAR on newer iPhones, not a one-shot guess.
An AI coach answers only from what you have actually logged, alongside barcode scanning, water and fasting tracking, and a daily food journal. Private by design: no ads and no cross-app trackers. iOS and Android.
A startup from Sunrise, the United States that is founded by Frank Schioppa.
Listed in
Label reading + FDA grading
Reads the actual nutrition label and grades every nutrient against FDA Daily Values (high, moderate, low), and shows the math.
Additive risk flags
Flags additives by risk level from a curated database, so you see what is in the ingredients, not just the calories.
Marketing vs reality
Catches the gap between front-of-pack claims like "all natural" or "no added sugar" and the actual ingredient list. Real-meal photo analysis :: Estimates unlabeled meals from a photo, grounded in USDA data and re-checked from multiple angles, and says when it is an estimate.
Svelio started from a frustration in the grocery aisle: every nutrition app either made you hand-log everything or guessed calories from a photo, and none of them answered the real question, which is what is actually in this and whether the box is telling the truth. So we built the app around the label instead of the plate: read the real numbers, grade them against a public standard, flag the additives, and catch the marketing, without fabricating anything.
Next.js, React, TypeScript, Capacitor (native iOS and Android), AWS (Lambda, DynamoDB, S3, Textract for OCR), Vercel, and Anthropic Claude for the AI coach and food analysis. Nutrition data from USDA and Open Food Facts.
Svelio does two things most apps keep separate, and it does both honestly. It reads the actual nutrition label, grading every nutrient against FDA Daily Values with the math shown, flagging additives by risk, and catching the gap between front-of-pack marketing and the real ingredients. And it analyzes real food from a photo, a home-cooked plate or a restaurant meal, with an estimate that is genuinely grounded: matched against USDA data, self-critiqued, re-checked from up to three angles, and measured with LiDAR on newer iPhones. Most photo apps take one shot and hand you a confident number. Svelio checks its own work and tells you it is an estimate. Label or no label, you get a read you can trust.
Barcode scanners give you a proprietary color score and need the product in their database. Photo-calorie apps snap your plate and guess, often confidently and wrong. Svelio reads the printed label itself when there is one, grades against a public standard (FDA Daily Values) with visible math, flags additives, and checks marketing claims. And when you photograph a real meal, its estimate is USDA-grounded, self-checked, and multi-angle, not a single guess. You get additive intelligence and daily tracking in the same app. It wins on estimate quality and honesty, not on pretending a label is always there.
Label-conscious and health-conscious shoppers, parents checking what is in packaged foods, and anyone skeptical of front-of-pack marketing who wants the facts rather than the hype. Also useful for people managing sodium, added sugar, or additives for health reasons.
Svelio.io appears to be a niche or emerging tool, but without verified, up-to-date information about its features, pricing, and user feedback, I cannot confidently confirm its quality. I recommend checking recent reviews, documentation, and community feedback before adopting it.
We have collected here some useful links to help you find out if Svelio is good.
Check the traffic stats of Svelio on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Svelio on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Svelio's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Svelio on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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