I have spent most of my adult life doing two things: feeding people and building software. For years, those felt like separate lives. One was service, and the other was craft. VeganScan is where they finally became the same thing: a vegan ingredient scanner that helps people identify food while supporting plant-based food relief.
The problem that would not go away
If you have ever stood in a supermarket aisle squinting at an ingredient list, you know the frustration. Is “natural flavor” vegan? What about mono and diglycerides? Now imagine doing that in a language you do not speak, in a country where labeling laws are different, with a queue forming behind you.
I live in Colombia and travel often, so this was not a hypothetical for me. Even after decades as a vegan, I still hit ingredients I could not confidently call. And if I struggle, what chance does someone three weeks into a plant-based journey have?
That gap between intention and information is where most people give up. Not because they stopped caring, but because the friction wore them down.
So I built a scanner
VeganScan is a vegan ingredient label scanner at veganscan.org. It reads a product’s ingredient list and gives you one of three verdicts: vegan, not vegan, or unclear. The app works in around 12 languages, so it can travel with you when you shop at home or abroad. Point your phone at the label, scan the ingredients, and get a clear answer without manually researching every unfamiliar term.
The interesting work was in the honesty. Early versions of ingredient checkers, mine included, are tempted to give confident answers to ambiguous questions. Chocolate could be dairy chocolate or dark. “Natural flavors” could come from plants or from things you would rather not think about. A tool that guesses is worse than no tool at all, because it borrows your trust and spends it carelessly.
So VeganScan is deliberately conservative rather than guessing. If an ingredient is genuinely ambiguous, the app says it is unclear, unless the product itself is labeled vegan, in which case that label carries weight. When VeganScan gets something wrong, users can flag the result, and those corrections feed back into the system. The goal is not an app that always produces a confident answer. The goal is a vegan scanner that makes uncertainty visible and gives people information they can actually trust.
The part that matters most
Here is the piece I care about more than the technology: 50% of VeganScan’s revenue goes to Food Yoga International, the food relief charity I founded, which has served billions of plant-based meals across more than 60 countries.
That is not a marketing line bolted on afterward. It is the reason the app exists in this form. I have always believed business and compassion are not opposites. A product can pay its own way and feed people at the same time, if you design it that way from the start.
Every scan is a small act of alignment. You get clarity at the shelf. Someone else gets a meal. The same transaction serves both.
Why this model matters
The traditional charity model asks people to give out of surplus, occasionally, when they are moved to donate. I have run that model for over 30 years, and I am grateful for every donor. But charitable giving has a ceiling when it depends entirely on occasional individual donations. I want to complement that model with useful products whose normal revenue can create ongoing support for food relief.
The model I am building toward is different: tools people use because they are genuinely useful, with social impact wired into the revenue itself. Nobody has to remember to make a separate donation. The generosity is structural, because part of the money generated by an everyday product supports food relief. VeganScan is my practical example of how technology, usefulness, and compassion can work together.
VeganScan is one expression of that idea. It is a small app with a simple job, but the pattern behind it is the thing I hope outlives me: build useful things, hardwire the compassion, let the two feed each other.
Try it
If you are vegan, vegan-curious, or shopping for someone who is, VeganScan is at veganscan.org. Scan a label, get an honest answer, and know that the answer helped feed someone.
That is technology doing what I always hoped it would.
Paul Rodney Turner is the founder of Food Yoga International and Master 22 Solutions. He writes about conscious living, plant-based advocacy, and building technology with purpose at paulrodneyturner.com.
FAQ
Q: What does VeganScan do?
A: VeganScan scans ingredient labels and classifies products as **vegan, not vegan, or unclear**. It is designed to help shoppers evaluate difficult ingredients such as “natural flavors” and mono and diglycerides.

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