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AI · alternatives · 2026

24 alternatives to Get structured and typed JSON outputs via GPT-3.5/4 functions

Get structured, fully typed, and validated JSON outputs from OpenAI and Anthropic models. - dzhng/zod-gpt

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Get structured and typed JSON outputs via GPT-3.5/4 functions launched in 2023; newer entries below may have overtaken it.

  1. 1

    Hey HN, I've been using GPT a lot lately in some side projects around data generation and benchmarking. During the course of prompt tuning I ended up with a pretty complicated request: the value that I was looking for, an explanation, a criticism, etc. JSON was the most natural output format for this but results would often be broken, have wrong types, or contain missing fields. There's been some positive movement in this space, like with jsonformer (https://github.com/1rgs/jsonformer) the other day. But nothing that was plug and play with GPT. This library consolidates…

    2023 · github.com · its alternatives →

  2. 2

    Contribute to olup/zod-chatgpt development by creating an account on GitHub.

    2023 · github.com · its alternatives →

  3. 3
    GPT-J▲394

    Open-source cousin of GPT-3, everyone can use it

    2021 · 6b.eleuther.ai · its alternatives →

  4. 4

    Built a tool for transforming unstructured data into structured outputs using language models (with 100% adherence). If you're facing problems getting GPT to adhere to a schema (JSON, XML, etc.) or regex, need to bulk process some unstructured data, or generate synthetic data, check it out. We run our own tuned model (you can self-host if you want), so, we're able to have incredibly fine grained control over text generation. Repository: https://github.com/automorphic-ai/trex Playground: https://automorphic.ai/playground

    2023 · automorphic.ai · its alternatives →

  5. 5

    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 · its alternatives →

  6. 6

    Logprobs for OpenAI Structured Outputs

    2025 · arena-ai.github.io · its alternatives →

  7. 7

    Extract web data into structured JSON, no scraper required.

    Jun 2026 · tabstack.ai · its alternatives →

  8. 8AT

    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 · its alternatives →

  9. 9

    ChatGPT JSON exports searchable, organized, analytic!

    2025 · codepen.io · its alternatives →

  10. 10

    When building workflows that rely on LLMs, we commonly use structured output for programmatic use cases like converting an invoice into rows or meeting transcripts into tickets or even complex PDFs into database entries. The model may return the schema you want, but with hallucinated values like `invoice_date` being off by 2 months or the transcript array ordered wrongly. The JSON is valid, but the values are not. Structured output today is a big part of using LLMs, especially when building deterministic workflows. Current structured output benchmarks (e.g., JSONSchemaBench) only validate…

    Apr 2026 · interfaze.ai · its alternatives →

  11. 11

    the JS/Node.JS library for encoding complex and unconventional data structures. Support for BigInts, TypedArrays, null, undefined, and Symbol. Multiple flavors available. - DO-SAY-GO/WeirdJSON

    2020 · github.com · its alternatives →

  12. 12

    I work on code generator that creates TypeScript SDKs from OpenAPI specs and Zod (https://zod.dev/) is a critical building block that I chose to power runtime validation in those SDKs. Depending on the complexity of a Zod schema, the resulting validation error message can contain a wall of JSON text - the serialised issues that were recorded during validation. I wanted to try and create a small tool to help me better visualise and parse these errors. In code and the command line, we do also have the ability to pretty-print the errors but I still wanted a web UI which can let…

    2024 · zod.fyi · its alternatives →

  13. 13

    Process any document to get structured JSON output using AI

    2024 · finigami.com · its alternatives →

  14. 14

    Millions of developers have used quicktype to generate ten billion lines of typesafe models, serializers, and validators from JSON, JSON Schema, and GraphQL in TypeScript, Python, Swift, C#, Go, Rust, Kotlin, Java, C++, Zod and more. Use it in the browser, from the command line, or give it to your A

    2017 · quicktype.io · its alternatives →

  15. 15

    Turn any URL into a JSON Schema, Zod, or Pydantic model

    Jun 2026 · schema.tabstack.ai · its alternatives →

  16. 16GD

    We're a team of three friends who have been working with forms and Open Source for a decade, and we joined forces together to create something where we can apply all of our experience. We recently released GolemUI, an Open Source library to generate forms dynamically from JSON definitions, with a typed layer to simplify authoring. This library has a lot to offer. These are the main characteristics: 1. A JSON engine. The form is governed by a JSON definition that you can store in a DB, version, diff, or generate it with LLMs as a validated JSON. 2. We provide also 28 headless components (and…

    Jul 2026 · golemui.com · its alternatives →

  17. 17

    Hi HN! This Christmas I made `tysm`, a rust crates which simplifies using ChatGPT with Structured Outputs. Essentially you just tell it the rust type you want the output to conform to, and it handles creating the JSON Schema, passing it to ChatGPT's chat-completions API, and deserializing the response. Structured Outputs are very useful because they guarantee that the response will conform to whatever type you expect. I'm already finding my crate very useful since I love using Structured Outputs but I hate writing JSON Schemas myself. Technical details for rust heads: To generate the JSON…

    2024 · github.com · its alternatives →

  18. 18AG

    Hey HN, We just shipped a new AI-powered feature... BUT the "AI" piece is largely in the background. Instead of relying on a chatbot, we've integrated AI (with strict input & output guardrails) into a workflow to handle two specific tasks that would be difficult for traditional programming: 1. Identifying the most relevant base URL from HAR files, since it would be tedious to cover every edge case or scenario to omit analytics, tracking, and other network noise. 2. Generating synthetic data for API requests by passing the API context and faker-js functions to GPT-4. The steps are broken down…

    2024 · docs.multiple.dev · its alternatives →

  19. 19

    Calculate confidence score for structured output generated by LLMs like OpenAI - ManiDoraisamy/promptrepo-score

    2025 · github.com · its alternatives →

  20. 20

    Odin Runes, a java-based GPT client, facilitates interaction with your preferred GPT model right through your favorite text editor. There is more: It also facilitates prompt-engineering by extracting context from diverse sources using technologies such as OCR, enhancing overall productivity and savi

    2024 · github.com · its alternatives →

  21. 21

    While working with LLMs for structured web data extraction, we saw issues with invalid JSON and broken links in the output. This led me to build a library focused on robust extraction and enrichment: - Clean HTML conversion: transforms HTML into LLM-friendly markdown with an option to extract just the main content - LLM structured output: Uses Gemini 2.5 flash or GPT-4o mini to balance accuracy and cost. Can also also use custom prompt - JSON sanitization: If the LLM structured output fails or doesn't fully match your schema, a sanitization process attempts to recover and fix the data,…

    2025 · github.com · its alternatives →

  22. 22

    Jev-shaped (TypeSafe System One) classification wrapper over OpenAI-like clients: probabilities and confidence instead of prose - zhulinchng/jevper

    Sep 2026 · github.com · its alternatives →

  23. 23

    Get Structured Data from Unstructured Content.

    2024 · jsonscout.com · its alternatives →

  24. 24

    Fix broken AI JSON and 6 more JSON tools, all in-browser

    May 2026 · jsonkit.co · its alternatives →

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