v1
latestOpenAPI 3.1.02026-07-136587849.3 KBNutrition AI
Analyze Nutrition Facts Label
Upload an image of a nutritional facts label to analyze it.
The system uses OCR (Optical Character Recognition) powered by AI to extract nutrition details from nutritional facts label image. The results with nutritional fields like total fat, protein, etc. are structurized and presented as one ingredient in the JSON response.
Processing Flow
The processing of nutrition facts label analysis is synchronous. No webhooks will be sent.
Analysis Modes
- precise (default) — uses advanced AI models for the highest accuracy and detail with good processing time
- fast — uses optimized AI models for good accuracy and detail with the fastest processing time
Nutritional fields
A predefined list of nutritional fields is extracted. See Nutritional Fields for supported macronutrients and micronutrients.
Localization
For more documentation, including implementation examples, processing workflows, and integration guides, see Implementation Guide.
post/nutrition_records/ingredients/label
Request body
Response
OK
Example response
{
"failure_reason": "Unable to identify label",
"name": "beef and broccoli stir-fry",
"nutritional_fields": {
"calcium_mg": 1000,
"carbohydrate_g": 250,
"cholesterol_mg": 300,
"energy_kcal": 800,
"fat_monounsaturated_g": 20,
"fat_polyunsaturated_g": 15,
"fat_saturated_g": 20,
"fat_total_g": 65,
"fat_trans_g": 0.5,
"fiber_total_dietary_g": 25,
"folate_mcg": 400,
"iron_mg": 18,
"magnesium_mg": 400,
"manganese_mcg": 400,
"niacin_mg": 16,
"phosphorus_mg": 700,
"potassium_mg": 3500,
"protein_g": 50,
"riboflavin_mg": 1.3,
"salt_g": 12,
"salt_mg": 25,
"sodium_g": 56,
"sodium_mg": 2300,
"sugars_total_g": 50,
"thiamin_mg": 1.2,
"vitamin_a_rae_mcg": 900,
"vitamin_b12_mcg": 2.4,
"vitamin_b6_mg": 1.7,
"vitamin_c_mg": 90,
"vitamin_d_mcg": 20,
"vitamin_e_mg": 15,
"vitamin_k_mcg": 120,
"zinc_mg": 11
},
"serving_size": 120,
"status": "completed",
"unit": "g"
}