Alternatives
Products that do what json.food does
Transform nutrition labels into structured data
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Extract web data into structured JSON, no scraper required.
Jun 2026 · tabstack.ai
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After two years of improvement, I think it's time to share it with you all. Here’s a quick overview: - Common features include validation, formatting, minification, and more. - Visualize JSON in a graph or table view. - Structured comparison with fallback to text comparison. - Navigate though JSON using JSON pointer. - Supports jq. Would love to hear the community's questions, thoughts and comments!
2024 · github.com
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Hey HN! Erik here from banana.dev We’ve trained a small(ish) language model on structured extraction, and today we’re launching a playground for it at https://anythingtojson.com. Give it a try! This model continues our work on structured generation, following last week’s launch of Fructose[1], a python client for strongly-typed LLM responses. There seem to be two distinct halves of the problem intended to be solved by Fructose and structured generation: 1. the reasoning ability of the model, such as performing chain of thought, creative acts, and natural language tasks. In a way,…
2024 · anythingtojson.com
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2019 · json.pizza
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2021 · paulbricman.com
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https://github.com/galvez/contagrama Right now I've got a tagger UI and an API that correctly identifies foods you've tagged (from the USDA Food Nutrition Database) and processes gram-amounts from plain text to produce a combined nutritional chart. This is very early stage so more of a call for help: the nutrient chart needs a better design and the API needs work in properly processing g/mg/ml and all the weight conversions defined in the usda_weights table. If you're into nutrition, liked the project and would like to help, drop me a note.
2018
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2012 · github.com
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2019 · github.com
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