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Alternatives

Products that do what json.food does

Transform nutrition labels into structured data

  1. 1

    Get Structured Data from Unstructured Content.

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    Extract structured content from the semantic web

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  3. 3

    Extract web data into structured JSON, no scraper required.

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    OK JSON113

    Format and view JSON with native Mac app

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  5. 5JF

    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

  6. 6

    Tool for lazy developers to convert JSON to C# Objects

    2020

  7. 7AT

    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

  8. 8JP
  9. 9
    OK JSON104

    The ultimate JSON formatter for your Mac

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  10. 10
    l1m.io135

    The simplest API to get structured data from any LLM

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  11. 11

    Process any document to get structured JSON output using AI

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  12. 12
    FoodNoms111

    Track what you eat and elevate your nutrition game

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  13. 13

    API for Developers – Transform Raw Data into Structured JSON

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  14. 14LA
  15. 15PT

    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

  16. 16

    From raw text to structured JSON available as MCP Tools

    Feb 2026 · structs.lovable.app

  17. 17JM

    2012 · github.com

  18. 18

    Extract structured data from public websites and return JSON

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  19. 19

    Sick of looking at squashed JSON Data?

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  20. 20

    Format json & xml, extract paths, and encode/decode base64

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  21. 21

    Transform your data into interactive graphs

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  22. 22JA
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    Free Swiss Army Knife for JSON Data

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  24. 24

    Track, transform, thrive - your nutrition journey simplified

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