Best AI tools for< Generate Structured Outputs >

ROASTLI is an AI tool designed to analyze LinkedIn profiles and posts using advanced AI technology like ChatGPT. It generates a detailed analysis of the user's personality based on their LinkedIn activity. Additionally, ROASTLI is built on Wordware, an IDE for creating custom AI agents using natural language, making it suitable for various applications such as legal contract generation, marketing automation, and invoice analysis. It is ideal for cross-functional teams working on LLM applications, including non-technical members who require prompt outputs and quick iterations. ROASTLI empowers domain experts to shape LLM outputs without coding, particularly beneficial for scenarios like lawyers developing legal SaaS products. Developers can leverage ROASTLI to build sophisticated AI agents swiftly, offering features like loops, conditional logic, structured generation, and custom API integrations.

QuickMail AI is an AI-powered email assistant that helps users craft professional emails in seconds. It utilizes AI technology to generate full, well-structured emails from brief prompts, saving users time and effort. The tool offers customizable outputs, allowing users to fine-tune emails to match their personal style. With features like AI-powered generation and time-saving efficiency, QuickMail AI is designed to streamline the email writing process and enhance productivity.

AI Document Creator is an innovative tool that leverages artificial intelligence to assist users in generating various types of documents efficiently. The application utilizes advanced algorithms to analyze input data and create well-structured documents tailored to the user's needs. With AI Document Creator, users can save time and effort in document creation, ensuring accuracy and consistency in their outputs. The tool is user-friendly and accessible, making it suitable for individuals and businesses seeking to streamline their document creation process.

MetaGPT is an advanced AI tool that leverages the power of natural language processing to generate human-like text. It uses the latest deep learning models to understand and produce text in various styles and tones. With MetaGPT, users can easily create content for articles, essays, emails, and more with just a few clicks. The tool is designed to assist writers, marketers, students, and anyone looking to enhance their writing productivity and creativity.

AIrticle-flow is an AI-powered content creation tool that helps users generate high-quality articles quickly and efficiently. The application utilizes advanced natural language processing algorithms to analyze user input and provide suggestions for improving the content. With AIrticle-flow, users can easily create engaging and informative articles on various topics without the need for extensive research or writing skills. The tool streamlines the writing process, saving users time and effort while ensuring the final output is well-structured and coherent.

Architecture Helper is an AI-based application that allows users to analyze real-world buildings, explore architectural influences, and generate new structures with customizable styles. Users can submit images for instant design analysis, mix and match different architectural styles, and create stunning architectural and interior images. The application provides unlimited access for $5 per month, with the flexibility to cancel anytime. Named as a 'Top AI Tool' in Real Estate by CRE Software, Architecture Helper offers a powerful and playful tool for architecture enthusiasts to explore, learn, and create.

FLUX Style Shaping is an AI-powered image style transfer tool that allows users to transform images by blending structure, style, and imagination. It combines advanced neural networks with artistic understanding to create stunning visuals while preserving structural elements. Users can upload images, add prompts, and generate unique artworks with high-resolution output. The tool offers browser-based convenience, instant processing, and prompt-guided generation for precise artistic transformations.

AiSOAP is a cutting-edge AI medical scribe application that revolutionizes the process of creating SOAP notes for healthcare professionals. It records, transcribes, and generates customized SOAP notes, significantly reducing documentation time by up to 95%. AiSOAP offers a seamless integration with EHR/EMR systems, allowing clinicians to focus more on providing compassionate care to patients or reclaiming their time for personal activities.

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.

InspNote is an AI-powered platform designed to help users capture and organize their fleeting ideas efficiently. It allows users to record their thoughts, which are then processed by AI to extract summaries and highlight key points. Users can generate structured content like to-do lists, blog posts, tweets, and emails effortlessly. InspNote offers privacy protection by not saving recordings, making it a convenient and secure tool for managing inspiration.

Syllabus Generator is an AI-powered tool designed to streamline the process of creating course syllabi for educators. It offers a user-friendly interface to input course details, customize syllabus outlines, and export them in various formats. The tool leverages AI technology to generate structured syllabus templates, making educational planning efficient and personalized.

The AI wedding speech generator is an online tool that allows users to create personalized wedding speeches quickly and effortlessly. Users can select their role and style, input special details, and generate fully structured and emotional speeches within seconds. The tool offers multiple speech styles to match the wedding atmosphere, allows for personalization with shared memories and emotional connections, and provides high-quality customer support. It is a convenient solution for anyone looking to prepare touching and meaningful speeches for weddings.

Co-Founder AI is an AI-powered tool that accelerates startup success by providing in-depth business reports and actionable insights. It utilizes AI to generate well-structured business plans and offers essential insights to validate IT-business ideas. The tool covers various aspects such as market trends, competitor analysis, sales techniques, and fundraising strategies, enabling users to make data-driven decisions for driving growth.

ResumeSkool is a free AI resume building platform that simplifies the process of creating professional resumes. It utilizes artificial intelligence to analyze user input and generate well-structured resumes tailored to specific job requirements. With a user-friendly interface, ResumeSkool offers a seamless experience for individuals looking to enhance their job application prospects. The platform eliminates the need for manual formatting and content structuring, saving users time and effort. Whether you are a recent graduate or a seasoned professional, ResumeSkool equips you with the tools to craft compelling resumes that stand out to potential employers.

SpeechGeneratorAI is a free AI-powered speech generator that helps users create personalized speeches for various occasions in seconds. Users can select the type of speech, input key points, and choose the tone and style to generate a well-structured and engaging speech. The tool is user-friendly, offers instant speech generation, and provides full support to ensure users have more time to focus on delivery rather than drafting.

SpeakStruct is an AI-powered application that enables professionals, businesses, and developers to effortlessly convert voice input into structured formats using customizable templates. The platform leverages advanced AI and natural language processing to ensure high accuracy in voice transcription and data structuring, making it ideal for various industries such as sales & marketing, customer support, product & engineering, financial/mortgage advisors, and healthcare professionals. SpeakStruct's flexible template builder allows users to tailor the application to their specific needs, capturing voice input from any channel and transforming it into a consistent, structured format.

GPT CLI is an all-in-one AI tool that allows users to build their own AI command-line interface tools using ChatGPT. It provides various plugins such as AI Commit, AI Command, AI Translate, and more, enabling users to streamline their workflow and automate tasks through natural language commands. With GPT CLI, users can easily generate Git commit messages, execute commands, translate text, and perform various other AI-powered tasks directly from the command line.

Walle is an all-in-one AI assistant and browser extension that provides a range of features to enhance your digital experience. It includes a chatbot for instant problem-solving, an AI reader for summarizing and understanding text, an AI writer for generating human-like content, a chat PDF feature for summarizing and translating PDF documents, and image creation and reading capabilities. Walle is seamlessly integrated into Chrome, Safari, and Edge browsers, making it your indispensable companion for navigating the digital world.

Aipify is a platform that allows users to build AI-powered APIs in seconds. With Aipify, users can access the latest AI models, including GPT-4, to enhance their applications' capabilities. Aipify's APIs are easy to use and affordable, making them a great choice for businesses of all sizes.

Letterly is an AI speech-to-text mobile app that allows users to quickly capture their voice and have AI convert it into well-crafted text. It offers features such as rewriting options, screen-off recording, multi-language support, and structured text inputs. Users can use Letterly for various tasks like sending clear emails by voice, generating social media posts, and creating to-do lists. The app has received positive reviews for its convenience and accuracy in transcribing voice messages.

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.

The LLM Engineer Toolkit is a curated repository containing over 120 LLM libraries categorized for various tasks such as training, application development, inference, serving, data extraction, data generation, agents, evaluation, monitoring, prompts, structured outputs, safety, security, embedding models, and other miscellaneous tools. It includes libraries for fine-tuning LLMs, building applications powered by LLMs, serving LLM models, extracting data, generating synthetic data, creating AI agents, evaluating LLM applications, monitoring LLM performance, optimizing prompts, handling structured outputs, ensuring safety and security, embedding models, and more. The toolkit covers a wide range of tools and frameworks to streamline the development, deployment, and optimization of large language models.

The Bee Agent Framework is an open-source tool for building, deploying, and serving powerful agentic workflows at scale. It provides AI agents, tools for creating workflows in Javascript/Python, a code interpreter, memory optimization strategies, serialization for pausing/resuming workflows, traceability features, production-level control, and upcoming features like model-agnostic support and a chat UI. The framework offers various modules for agents, llms, memory, tools, caching, errors, adapters, logging, serialization, and more, with a roadmap including MLFlow integration, JSON support, structured outputs, chat client, base agent improvements, guardrails, and evaluation.

Ollama is a powerful tool for running large language models locally or on your own infrastructure. It provides a full implementation of the Ollama API, support for streaming requests, and tool use capability. Users can interact with Ollama in Elixir to generate completions, chat messages, and perform streaming requests. The tool also supports function calling on compatible models, allowing users to define tools with clear descriptions and arguments. Ollama is designed to facilitate natural language processing tasks and enhance user interactions with language models.

ComfyUI-Ollama-Describer is an extension for ComfyUI that enables the use of LLM models provided by Ollama, such as Gemma, Llava (multimodal), Llama2, Llama3, or Mistral. It requires the Ollama library for interacting with large-scale language models, supporting GPUs using CUDA and AMD GPUs on Windows, Linux, and Mac. The extension allows users to run Ollama through Docker and utilize NVIDIA GPUs for faster processing. It provides nodes for image description, text description, image captioning, and text transformation, with various customizable parameters for model selection, API communication, response generation, and model memory management.

GenAI Agents is a comprehensive repository for developing and implementing Generative AI (GenAI) agents, ranging from simple conversational bots to complex multi-agent systems. It serves as a valuable resource for learning, building, and sharing GenAI agents, offering tutorials, implementations, and a platform for showcasing innovative agent creations. The repository covers a wide range of agent architectures and applications, providing step-by-step tutorials, ready-to-use implementations, and regular updates on advancements in GenAI technology.

BeeAI Framework is a versatile tool for building production-ready multi-agent systems. It offers flexibility in orchestrating agents, seamless integration with various models and tools, and production-grade controls for scaling. The framework supports Python and TypeScript libraries, enabling users to implement simple to complex multi-agent patterns, connect with AI services, and optimize token usage and resource management.

Awesome-LLM-Constrained-Decoding is a curated list of papers, code, and resources related to constrained decoding of Large Language Models (LLMs). The repository aims to facilitate reliable, controllable, and efficient generation with LLMs by providing a comprehensive collection of materials in this domain.

ControlFlow is a Python framework designed for building agentic AI workflows. It provides a structured approach for defining tasks, assigning specialized AI agents, and orchestrating complex behaviors. By balancing AI autonomy with precise oversight, users can create sophisticated AI-powered applications with confidence. ControlFlow offers a task-centric architecture, structured results with type-safe outputs, specialized agents for efficient problem-solving, ecosystem integration with LangChain models, flexible control over workflows, multi-agent orchestration, and native observability and debugging capabilities.

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.

The Together Cookbook is a collection of code and guides designed to help developers build with open source models using Together AI. The recipes provide examples on how to chain multiple LLM calls, create agents that route tasks to specialized models, run multiple LLMs in parallel, break down tasks into parallel subtasks, build agents that iteratively improve responses, perform LoRA fine-tuning and inference, fine-tune LLMs for repetition, improve summarization capabilities, fine-tune LLMs on multi-step conversations, implement retrieval-augmented generation, conduct multimodal search and conditional image generation, visualize vector embeddings, improve search results with rerankers, implement vector search with embedding models, extract structured text from images, summarize and evaluate outputs with LLMs, generate podcasts from PDF content, and get LLMs to generate knowledge graphs.

Guardrails is a Python framework that helps build reliable AI applications by performing two key functions: 1. Guardrails runs Input/Output Guards in your application that detect, quantify and mitigate the presence of specific types of risks. To look at the full suite of risks, check out Guardrails Hub. 2. Guardrails help you generate structured data from LLMs.

Nextpy is a cutting-edge software development framework optimized for AI-based code generation. It provides guardrails for defining AI system boundaries, structured outputs for prompt engineering, a powerful prompt engine for efficient processing, better AI generations with precise output control, modularity for multiplatform and extensible usage, developer-first approach for transferable knowledge, and containerized & scalable deployment options. It offers 4-10x faster performance compared to Streamlit apps, with a focus on cooperation within the open-source community and integration of key components from various projects.

ComfyUI_VLM_nodes is a repository containing various nodes for utilizing Vision Language Models (VLMs) and Language Models (LLMs). The repository provides nodes for tasks such as structured output generation, image to music conversion, LLM prompt generation, automatic prompt generation, and more. Users can integrate different models like InternLM-XComposer2-VL, UForm-Gen2, Kosmos-2, moondream1, moondream2, JoyTag, and Chat Musician. The nodes support features like extracting keywords, generating prompts, suggesting prompts, and obtaining structured outputs. The repository includes examples and instructions for using the nodes effectively.

Kiln is an intuitive tool for fine-tuning LLM models, generating synthetic data, and collaborating on datasets. It offers desktop apps for Windows, MacOS, and Linux, zero-code fine-tuning for various models, interactive data generation, and Git-based version control. Users can easily collaborate with QA, PM, and subject matter experts, generate auto-prompts, and work with a wide range of models and providers. The tool is open-source, privacy-first, and supports structured data tasks in JSON format. Kiln is free to use and helps build high-quality AI products with datasets, facilitates collaboration between technical and non-technical teams, allows comparison of models and techniques without code, ensures structured data integrity, and prioritizes user privacy.

Promptic is a tool designed for LLM app development, providing a productive and pythonic way to build LLM applications. It leverages LiteLLM, allowing flexibility to switch LLM providers easily. Promptic focuses on building features by providing type-safe structured outputs, easy-to-build agents, streaming support, automatic prompt caching, and built-in conversation memory.

Agno is a lightweight library for building multi-modal Agents. It is designed with core principles of simplicity, uncompromising performance, and agnosticism, allowing users to create blazing fast agents with minimal memory footprint. Agno supports any model, any provider, and any modality, making it a versatile container for AGI. Users can build agents with lightning-fast agent creation, model agnostic capabilities, native support for text, image, audio, and video inputs and outputs, memory management, knowledge stores, structured outputs, and real-time monitoring. The library enables users to create autonomous programs that use language models to solve problems, improve responses, and achieve tasks with varying levels of agency and autonomy.

Bespoke Curator is an open-source tool for data curation and structured data extraction. It provides a Python library for generating synthetic data at scale, with features like programmability, performance optimization, caching, and integration with HuggingFace Datasets. The tool includes a Curator Viewer for dataset visualization and offers a rich set of functionalities for creating and refining data generation strategies.

Easily integrate Large Language Models into your Python code. Simply use the `@prompt` and `@chatprompt` decorators to create functions that return structured output from the LLM. Mix LLM queries and function calling with regular Python code to create complex logic.

Instructor is a Python library that makes it a breeze to work with structured outputs from large language models (LLMs). Built on top of Pydantic, it provides a simple, transparent, and user-friendly API to manage validation, retries, and streaming responses. Get ready to supercharge your LLM workflows!

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Output JSON schema

Generate a structured abstract for academic papers, primarily in the field of biology, adhering to a specified word count range. Simply upload your manuscript file (without the abstract) and specify the word count (for example, '200-250') to GPT.

I generate structured academic paper reviews.

Generate a Structured description in typescript format from the image and generate an image from that description.　and OCR

Structured financial analysis with investment advisory and simulations.

Crafts detailed articles with structured word count verification.

RISEN Prompt Engineer GPT streamlines AI interactions by applying the RISEN framework, focusing on specific, structured prompts for targeted, creative responses. This method improves the precision of AI-generated answers, ensuring they meet user expectations effectively.

Structured shapes dance with untamed creatures, painting a canvas of awe and wonder.

Structured analyzer of business case PDFs with tailored insights.

Psychology data analysis expert that guides users through structured, step-by-step exploration of a CSV data set. The analysis is based on research questions.

Generates a full & complete Python codebase, after clarifying questions, by following a structured section pattern.

Structured explanations without hallucinations.