Structs

What it does

Structs uses AI to extract structured data from any text, then turn it into dynamic visualizations — all from a single schema. Generate sample dataset from your json schema and create simple DataViz Structs allow you to store structured data available as MCP Tools to reuse in any context.

Structs uses AI to automatically extract structured data from any text. Define a schema, paste your text, get JSON.

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  Structura2025 · structura-json.netlify.app · ▲100

  Visualize and edit JSON like Lego blocks

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  StructiFi2023 · structifi.com · ▲17

  Structure your document's data with precision and fidelity.

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  JSON For You – Visualize JSON in graph or table views2024 · github.com · ▲211

  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!

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  JSON Scout2024 · jsonscout.com · ▲9

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  DocumentAI2024 · finigami.com · ▲30

  Process any document to get structured JSON output using AI

• AT
  Anything To JSON – a language model for structured extraction2024 · anythingtojson.com · ▲18

  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,…

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