USDA FoodData Central vs Open Food Facts: Which Free Food Data?

How to compare USDA FoodData Central and Open Food Facts#

Most nutrition-API head-to-heads weigh price against coverage. That axis is dead here: neither charges a fee, and neither is a freemium slice a vendor can curtail next quarter. Three questions are left, and they decide the build:

• Licence philosophy. USDA FoodData Central is US government data in the public domain under CC0: no copyright, no licence fee, attribution requested but not required. Open Food Facts is open data under the ODbL, with contents under DbCL and images under CC-BY-SA — free for any purpose including commercial use, but attribution is required and the share-alike obligation can require you to publish a derived database as open data. These are opposite philosophies, not two shades of the same one.
• Where the coverage sits. USDA is a nutrient reference: Foundation Foods, SR Legacy, Survey (FNDDS) foods as consumed, and a Branded Foods dataset that carries GTIN/UPC fields. Open Food Facts is a global crowdsourced catalogue of packaged products queried by barcode or search, returning ingredients, nutrition facts, Nutri-Score, allergens, labels, categories, and images for a product code.
• Who stands behind the numbers. USDA data is lab-grade and curated by a government agency. Open Food Facts is volunteer-contributed with no accuracy or completeness guarantee, and coverage quality varies by region.

Access friction barely enters it. USDA needs a free data.gov key — a shared DEMO_KEY exists for first exploration — and meters requests at a modest rate, reported around 1,000 per hour as of 2026 (our own pages describe that limit as per key in one place and per IP in another, so verify it). Open Food Facts needs no key to read, only a custom User-Agent header identifying your app, and the project has said it intends to keep the API free and add no keys. The licence and coverage points below are integration constraints, not a knock on either project.

USDA FoodData Central vs Open Food Facts at a glance#

Where USDA FoodData Central pulls ahead#

Its edge is authority plus the cleanest licence in the category. When a dietitian or a regulator asks where a nutrient value came from, "the USDA FoodData Central Foundation Foods dataset" ends the conversation. Foods-as-consumed entries from the Survey (FNDDS) dataset suit modelling real meals rather than raw ingredients, and SR Legacy remains a workhorse reference for whole foods.

The licence is the part people underrate. CC0 means there is no copyright to comply with at all: you can ingest the whole thing, reshape it, blend it with your own proprietary data, ship it inside a closed-source product, and owe nobody anything. USDA requests credit; it does not require it. That is the reason USDA is the safe default for a commercial build that wants to keep its derived catalogue private.

The trade-off that decides it against Open Food Facts: it is a nutrient-reference database, not a food-logging engine. There is no natural-language meal parsing, no restaurant-menu product, and no consumer barcode-lookup product, so you build the logging experience and fill the coverage gaps yourself. The hourly rate limit is modest enough that a busy client-side integration will feel it, which usually means caching or mirroring the data rather than proxying every request.

Where Open Food Facts pulls ahead#

Its edge is barcode coverage nobody else gives away. Point it at a product code and you get the packaged-goods picture — ingredients, nutrition facts, Nutri-Score, allergens, labels, categories, and images — globally, with no key, no signup, and no quota negotiation. If your product's first interaction is a user holding a phone camera against a packet in a supermarket, this is the dataset that makes that feature exist on day one. It is also what wger uses for its own nutrition data.

The trade-offs come in two flavours. The first is data quality: entries are volunteer-contributed with no accuracy or completeness guarantee, and regional coverage is uneven, so a barcode that resolves perfectly in one market may miss in another. Design for the miss — a "product not found, add it yourself" path is part of the feature, not an error state. The second is the licence, and that one reaches your architecture.

The licence question: CC0 versus share-alike#

This is the real fork in the road, and worth being precise about, because "both are free" hides it completely.

CC0 imposes no obligations. ODbL imposes two that matter to a product team. Attribution: you credit Open Food Facts. Share-alike: a derived database that combines Open Food Facts data with your own may have to be released as open data. That second one is not a payment problem you can solve with a purchase order — it is a design constraint on what your food catalogue is allowed to be.

Two notes keep this from being a blanket blocker. Commercial use is explicitly fine; ODbL is not a non-commercial licence. And the obligation attaches to the database, not to the application around it — though where your merged catalogue sits on that line is a question for counsel, not for a comparison page. This is general guidance, not legal advice.

The pattern that avoids the question entirely: keep the two sources in separate stores. USDA-derived tables stay yours because CC0 says so; Open Food Facts lookups stay attributed and unmerged, queried live or cached as a distinct dataset rather than folded into a proprietary master catalogue. Teams that decide this on day one rarely think about it again.

Which should you pick?#

Match the dataset to the job rather than hunting for a single winner:

• If you need authoritative nutrient values you can absorb into a closed-source product with zero licence obligations, pick USDA FoodData Central and build the logging layer around it.
• If your core interaction is scanning a barcode on a packaged product, especially outside the US, pick Open Food Facts and plan for attribution, share-alike, and missing entries.
• If you need both — and most food apps do — run both, in separate stores so the ODbL obligation never touches your USDA-derived tables. USDA for reference nutrients, Open Food Facts for the packet in the user's hand, covers a surprising amount before you pay anyone. The nutrition APIs roundup shows where that combination still leaves gaps.
• If you need natural-language meal logging or restaurant and chain-menu depth, neither of these has it. That is the commercial pair's territory — see Nutritionix vs Edamam for that decision and nutrition API pricing for what the category costs.
• If you are wiring an LLM in front of either one, neither parses free text, and that is fine: the durable pattern is to have the model resolve input to a row and let your server do the arithmetic. Both work well as that catalogue — AI food logging sets out the shape.

For how these two sit against the rest of the no-cost landscape, see the free and open-source fitness APIs roundup.

Watch the fine print#

Rate limits, dataset names, endpoint shapes, and the exact licence variants on Open Food Facts images and contents all change. Everything volatile above — the roughly 1,000 requests per hour figure, the current USDA dataset list, and the precise ODbL, DbCL, and CC-BY-SA terms — is flagged "as of 2026, verify." Read the licence text yourself before merging either dataset into anything you intend to keep private, and have counsel settle a share-alike question rather than resolving it from a table.