Best AI tools for< Generate Json Schema >

jsonAI is an AI tool that allows users to easily transform data into structured JSON format. Users can define their schema, add custom prompts, and receive AI-structured JSON responses. The tool enables users to create complex schemas with nested objects, control the response JSON on the fly, and test their JSON data in real-time. jsonAI offers a free trial plan, seamless integration with existing apps, and ensures data security by not storing user data on their servers.

I apologize, but the provided text does not contain any meaningful information about a website or application. Therefore, I cannot extract the requested data to generate the JSON object.

I apologize, but the provided text does not contain any information about a specific application or website. Therefore, I cannot extract the requested data to generate the JSON object.

I'm sorry, but the text you provided does not contain any information about an AI tool or application. Therefore, I am unable to generate the requested JSON object.

I'm sorry, but the provided text does not contain any information about an application or website. Therefore, I cannot generate the requested JSON object.

I'm sorry, but the provided text does not contain any information about a website or application. Therefore, I cannot generate the requested JSON object.

I am sorry, but the provided text does not contain any information about a website or AI tool. Therefore, I cannot generate the requested JSON object.

Tablepad is an AI-powered data analytics tool that allows users to upload, view, and query data effortlessly. With Tablepad, users can generate insights and create charts without the need for coding skills. The tool supports various file formats and offers automated visual insights by generating graphs and charts based on plain English questions. Tablepad simplifies data exploration and visualization, making it easy for users to uncover valuable insights from their data.

BuildShip is a batch processing tool for ChatGPT that allows users to process ChatGPT tasks in parallel on a spreadsheet UI with CSV/JSON import and export. It supports various OpenAI models, including GPT4, Claude 3, and Gemini. Users can start with readymade templates and customize them with their own logic and models. The data generated is stored securely on the user's own Google Cloud project, and team collaboration is supported with granular access control.

AnyAPI is an AI tool that allows users to easily add AI features to their products in minutes. With the ability to craft perfect GPT-3 prompts using A/B testing, users can quickly generate a live API endpoint to power their next AI feature. The platform offers a range of use cases, including turning emails into tasks, suggesting replies, and obtaining plain text JSON from GPT3. AnyAPI is designed to streamline the integration of AI capabilities into various products and services, offering a user-friendly experience for developers and businesses alike.

TheToolBus.ai is an AI-powered platform offering a wide range of free digital tools to streamline various tasks. From age calculation to file conversion, image editing, text formatting, and more, users can access a diverse set of tools to enhance productivity and efficiency in their daily digital activities. The platform also features AI-generated content creation tools, such as cover letter generator, quiz generator, and text-to-emoji converter, catering to different user needs. With regular updates and a community-driven approach, TheToolBus.ai aims to provide users with innovative solutions to simplify their digital workflows.

The website generatejson.com appears to be inaccessible due to an 'Access Denied' error. It seems that users are encountering permission issues when trying to access the site. The error message references a server issue and provides a specific reference number. The website may be related to generating JSON data, but further details are not available from the provided text.

Files2Prompt is a free online tool that allows you to convert files to text prompts for large language models (LLMs) like ChatGPT, Claude, and Gemini. With Files2Prompt, you can easily generate prompts from various file formats, including Markdown, JSON, and XML. The converted prompts can be used to ask questions, generate text, translate languages, write different kinds of creative content, and more.

Reedr is an AI-powered browser automation tool that simplifies scraping at scale. It offers features such as text recognition (OCR), custom headers, CAPTCHA solver, and proxying for efficient data extraction. With Reedr, users can automate tasks, generate reports, and monitor running tasks in real-time. The tool utilizes AI capabilities to convert visible text and images on web pages into formatted data, supporting various data processing needs. Additionally, Reedr provides customized real-time reporting with API endpoints for different reporting teams, enabling data export in formats like CSV, XLSX, JSON, and YAML. The tool prioritizes industry-leading compliance, adhering to data protection laws and privacy regulations like GDPR.

Kiln is an AI tool designed for fine-tuning LLM models, generating synthetic data, and facilitating collaboration on datasets. It offers intuitive desktop apps, zero-code fine-tuning for various models, interactive visual tools for data generation, Git-based version control for datasets, and the ability to generate various prompts from data. Kiln supports a wide range of models and providers, provides an open-source library and API, prioritizes privacy, and allows structured data tasks in JSON format. The tool is free to use and focuses on rapid AI prototyping and dataset collaboration.

Vizly is an AI-powered data analysis tool that empowers users to make the most of their data. It allows users to chat with their data, visualize insights, and perform complex analysis. Vizly supports various file formats like CSV, Excel, and JSON, making it versatile for different data sources. The tool is free to use for up to 10 messages per month and offers a student discount of 50%. Vizly is suitable for individuals, students, academics, and organizations looking to gain actionable insights from their data.

GetOData is a powerful web scraping API and Chrome extension that offers AI-based data extraction tools for small-scale scraping projects. It allows users to extract large amounts of data without getting blocked by anti-bot mechanisms like Captchas, Cloudflare, or Akamai. The API is built by data extraction experts and provides features such as choosing the output format (HTML or JSON), setting proxy locations, executing JavaScript, taking screenshots, and more. GetOData offers simplified pricing options for freelancers, startups, and businesses, with competitive rates and high success rates compared to other services in the market.

Ogt.ai revolutionizes digital interaction, enabling interactive conversations across various media types, including YouTube videos, audio files, text documents, and links. Experience enhanced media engagement with AI-powered chats for videos and audio. Analyze content, ask questions, and gain insights in real-time, making media interactions more engaging and informative. Interact with text-based documents like never before. Use Ogt.ai to converse with PDFs, Text, Json, CSV, DOCX, and PPTX files, extracting essential information or discussing content as if you're talking to an expert. Ogt.ai is adept at recognizing the subtleties of various media. It tailors responses to analyze video tones, document contexts, or key audio points, enhancing your media interaction.

Generate is an experiment to generate data from LLM. It is now deprecated.

Self-Introduction Generate AI is an innovative platform designed to assist individuals and businesses in crafting compelling and effective self-introductions. It leverages advanced AI technology to understand context and generate personalized content. The platform can analyze and understand various types of input, including text and context, to generate tailored self-introductions that are engaging and informative, enhancing personal and professional branding. With features like quick response times, quality assurance, and specialized service for self-introductions, it is an ideal tool for job applications, networking events, and personal branding initiatives.

This repository is an awesome list dedicated to resources for using Large Language Models (LLMs) to generate JSON or other structured outputs. It includes terminology explanations, hosted and local models, Python libraries, blog articles, videos, Jupyter notebooks, and leaderboards related to LLMs and JSON generation. The repository covers various aspects such as function calling, JSON mode, guided generation, and tool usage with different providers and models.

Trex is a tool that transforms unstructured data into structured data by specifying a regex or context-free grammar. It intelligently restructures data to conform to the defined schema. It offers a Python client for installation and requires an API key obtained by signing up at automorphic.ai. The tool supports generating structured JSON objects based on user-defined schemas and prompts. Trex aims to provide significant speed improvements, structured custom CFG and regex generation, and generation from JSON schema. Future plans include auto-prompt generation for unstructured ETL and more intelligent models.

Godot LLM is a plugin that enables the utilization of large language models (LLM) for generating content in games. It provides functionality for text generation, text embedding, multimodal text generation, and vector database management within the Godot game engine. The plugin supports features like Retrieval Augmented Generation (RAG) and integrates llama.cpp-based functionalities for text generation, embedding, and multimodal capabilities. It offers support for various platforms and allows users to experiment with LLM models in their game development projects.

OpenAI is a Swift community-maintained implementation over OpenAI public API. It is a non-profit artificial intelligence research organization founded in San Francisco, California in 2015. OpenAI's mission is to ensure safe and responsible use of AI for civic good, economic growth, and other public benefits. The repository provides functionalities for text completions, chats, image generation, audio processing, edits, embeddings, models, moderations, utilities, and Combine extensions.

com.openai.unity is an OpenAI package for Unity that allows users to interact with OpenAI's API through RESTful requests. It is independently developed and not an official library affiliated with OpenAI. Users can fine-tune models, create assistants, chat completions, and more. The package requires Unity 2021.3 LTS or higher and can be installed via Unity Package Manager or Git URL. Various features like authentication, Azure OpenAI integration, model management, thread creation, chat completions, audio processing, image generation, file management, fine-tuning, batch processing, embeddings, and content moderation are available.

OpenAI-DotNet is a simple C# .NET client library for OpenAI to use through their RESTful API. It is independently developed and not an official library affiliated with OpenAI. Users need an OpenAI API account to utilize this library. The library targets .NET 6.0 and above, working across various platforms like console apps, winforms, wpf, asp.net, etc., and on Windows, Linux, and Mac. It provides functionalities for authentication, interacting with models, assistants, threads, chat, audio, images, files, fine-tuning, embeddings, and moderations.

Shell Ask is a command-line tool that enables users to interact with various language models through a simple interface. It supports multiple LLMs such as OpenAI, Anthropic, Ollama, and Google Gemini. Users can ask questions, provide context through command output, select models interactively, and define reusable AI commands. The tool allows piping the output of other programs for enhanced functionality. With AI command presets and configuration options, Shell Ask provides a versatile and efficient way to leverage language models for various tasks.

This repository contains a library for constraining LLM generation to structured output, enforcing a JSON schema for precise data types and property names. It includes an acceptor/state machine framework, JSON acceptor, and JSON schema acceptor for guiding decoding in LLMs. The library provides reference implementations using Apple's MLX library and examples for function calling tasks. The tool aims to improve LLM output quality by ensuring adherence to a schema, reducing unnecessary output, and enhancing performance through pre-emptive decoding. Evaluations show performance benchmarks and comparisons with and without schema constraints.

React Native binding of llama.cpp, which is an inference of LLaMA model in pure C/C++. This tool allows you to use the LLaMA model in your React Native applications for various tasks such as text completion, tokenization, detokenization, and embedding. It provides a convenient interface to interact with the LLaMA model and supports features like grammar sampling and mocking for testing purposes.

Instructor for PHP is a library designed for structured data extraction in PHP, powered by Large Language Models (LLMs). It simplifies the process of extracting structured, validated data from unstructured text or chat sequences. Instructor enhances workflow by providing a response model, validation capabilities, and max retries for requests. It supports classes as response models and provides features like partial results, string input, extracting scalar and enum values, and specifying data models using PHP type hints or DocBlock comments. The library allows customization of validation and provides detailed event notifications during request processing. Instructor is compatible with PHP 8.2+ and leverages PHP reflection, Symfony components, and SaloonPHP for communication with LLM API providers.

lmstudio.js is a pre-release alpha client SDK for LM Studio, allowing users to use local LLMs in JS/TS/Node. It is currently undergoing rapid development with breaking changes expected. Users can follow LM Studio's announcements on Twitter and Discord. The SDK provides API usage for loading models, predicting text, setting up the local LLM server, and more. It supports features like custom loading progress tracking, model unloading, structured output prediction, and cancellation of predictions. Users can interact with LM Studio through the CLI tool 'lms' and perform tasks like text completion, conversation, and getting prediction statistics.

The Intelligence Toolkit is a suite of interactive workflows designed to help domain experts make sense of real-world data by identifying patterns, themes, relationships, and risks within complex datasets. It utilizes generative AI (GPT models) to create reports on findings of interest. The toolkit supports analysis of case, entity, and text data, providing various interactive workflows for different intelligence tasks. Users are expected to evaluate the quality of data insights and AI interpretations before taking action. The system is designed for moderate-sized datasets and responsible use of personal case data. It uses the GPT-4 model from OpenAI or Azure OpenAI APIs for generating reports and insights.

Funcchain is a Python library that allows you to easily write cognitive systems by leveraging Pydantic models as output schemas and LangChain in the backend. It provides a seamless integration of LLMs into your apps, utilizing OpenAI Functions or LlamaCpp grammars (json-schema-mode) for efficient structured output. Funcchain compiles the Funcchain syntax into LangChain runnables, enabling you to invoke, stream, or batch process your pipelines effortlessly.

The Characterfile project aims to create a simple format for generating and transmitting character files, compatible with Eliza and other LLM agents. Users can convert their Twitter archive into a character file using the provided scripts. The project also includes examples, JSON schema, and TypeScript types for the character file. Scripts like tweets2character, folder2knowledge, and knowledge2character facilitate the conversion of tweets, documents, and knowledge files into character files for use with AI agents.

node-llama-cpp is a tool that allows users to run AI models locally on their machines. It provides pre-built bindings with the option to build from source using cmake. Users can interact with text generation models, chat with models using a chat wrapper, and force models to generate output in a parseable format like JSON. The tool supports Metal and CUDA, offers CLI functionality for chatting with models without coding, and ensures up-to-date compatibility with the latest version of llama.cpp. Installation includes pre-built binaries for macOS, Linux, and Windows, with the option to build from source if binaries are not available for the platform.

Functionary is a language model that interprets and executes functions/plugins. It determines when to execute functions, whether in parallel or serially, and understands their outputs. Function definitions are given as JSON Schema Objects, similar to OpenAI GPT function calls. It offers documentation and examples on functionary.meetkai.com. The newest model, meetkai/functionary-medium-v3.1, is ranked 2nd in the Berkeley Function-Calling Leaderboard. Functionary supports models with different context lengths and capabilities for function calling and code interpretation. It also provides grammar sampling for accurate function and parameter names. Users can deploy Functionary models serverlessly using Modal.com.

This Python library enhances OpenAI chat completion responses by providing detailed information about token log probabilities. It works with OpenAI Structured Outputs to ensure model-generated responses adhere to a JSON Schema. Developers can analyze and incorporate token-level log probabilities to understand the reliability of structured data extracted from OpenAI models.

LLM-ollama is a plugin that provides access to models running on an Ollama server. It allows users to query the Ollama server for a list of models, register them with LLM, and use them for prompting, chatting, and embedding. The plugin supports image attachments, embeddings, JSON schemas, async models, model aliases, and model options. Users can interact with Ollama models through the plugin in a seamless and efficient manner.

Google GenerativeAI (Gemini) is an unofficial C# .Net SDK based on REST APIs for accessing Google Gemini models. It offers a complete rewrite of the previous SDK with improved performance, flexibility, and ease of use. The SDK seamlessly integrates with LangChain.net, providing easy methods for JSON-based interactions and function calling with Google Gemini models. It includes features like enhanced JSON mode handling, function calling with code generator, multi-modal functionality, Vertex AI support, multimodal live API, image generation and captioning, retrieval-augmented generation with Vertex RAG Engine and Google AQA, easy JSON handling, Gemini tools and function calling, multimodal live API, and more.

我們經常在看 REST API 參考文件，文件中呈現 Request/Response 參數通常都是用表格的形式，開發人員都要手動轉換成 JSON 結構，有點小麻煩，但透過這個 GPT 只要上傳截圖就可以自動產生 JSON 範例與 JSON Schema 結構。

熟练掌握各类python代码的编制

A dual-expert in Pydantic V1 and V2, adept at online research for V2.

Output JSON schema

Assists with OpenAPI Schemas by providing JSON Schema format examples, debugging tips, and best practices.

Expert in teaching Pydantic with clear, accessible explanations.

Schema Markup Creation for User

Generates Vega-Lite JSON code for Power BI visuals from data and descriptions.

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