NEW YORK - TelAve -- Edamam, the leading provider of food and nutrition data solutions for business in the health, wellness, and food sectors, released today a new product to help return structed data and produce full and accurate nutrition analysis of recipes from web pages. The new solution, dubbed Site Parser API, leverages a proprietary information extraction, parsing, and natural language understanding technology.

"The primary use cases for the Site Parser API are food logging and powering recipe collection tools, such as recipe importer and recipe clipper. Our clients can build tools for people to share a recipe URL and get accurate nutrition data in an instant," explained Victor Penev, the Edamam's Founder and CEO.

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Edamam's customers need to send the HTML of a recipe page to the Site Parser API, and it will do the rest, intelligently extracting the recipe, including title, servings, ingredients, prep steps, cooking time, and image, then instantly running a complete nutritional analysis on top of it.

In one response Edamam's customers can get both the clean, structured recipe and Edamam's full nutrition breakdown, including calories, 28 macro- and micronutrients, diet and health labels, allergen cautions, and automatic cuisine, meal, and dish-type classification.

"Our goal is to make it easy for people to find accurate nutrition data and log foods in any circumstance and with as little friction as possible," added Victor Penev.

The new product by Edamam expands the toolset of companies building food logging or diet management solutions, by allowing them to produce the nutrition data of web recipes that people cook or plan to cook. Edamam's solution employs a tested product that deterministically produces high accuracy data far exceeding the nutrient data produced by AI agents and LLMs.

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Edamam's new Site Parser API joins its Vision API that produces accurate nutrition data from photos and the Food Database API, which allows for text, voice, and barcode scanning retrieval of nutrition data.

About Edamam

Edamam organizes the world's food knowledge and provides nutrition data services and value-added solutions to health, wellness, and food businesses. Using a proprietary semantic technology platform, it delivers real-time nutrition analysis and diet recommendations via APIs. Edamam's technology helps customers answer their clients' perennial question: "What should I eat?"

Edamam's partners and clients include Nestle, Amazon, Microsoft, The Food Network, The New York Times, Hearst, and Barilla. For more information, please visit www.edamam.com or developer.edamam.com (http://www.edamam.com).