Best AI tools for< Convert Json To Yaml >

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.

Lokal.so is an AI-powered tool designed to supercharge your localhost development experience. It offers features like sharing your localhost with the public, debugging incoming requests, and developing with the assistance of an AI assistant. With Lokal.so, you can leverage Cloudflare's network for faster site delivery, use a built-in S3 server for easy file debugging, and automatically convert JSON payloads into different programming language models. The tool aims to simplify local development by providing a self-hosted tunnel server, unlimited .local domain access, and endpoint management with memorable names.

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.

AI Bank Statement Converter is an industry-leading tool designed for accountants and bookkeepers to extract data from financial documents using artificial intelligence technology. The tool offers modernized bookkeeping solutions by automating financial document processing, ensuring accuracy, security, and efficiency. It revolutionizes how accounting businesses handle financial documents by providing multi-format conversion, AI-powered accuracy, tailored solutions for accounting, data security, and integration with popular accounting software.

Rocket Statement is a leading bank statement conversion tool that helps users convert their PDF bank statements into Excel, CSV, or JSON formats quickly, securely, and easily. It supports over 100 major banks worldwide and can handle multilingual statements. The tool is trusted by professionals worldwide and offers a range of features, including bulk processing, clean data formatting, multiple export options, and an AI Copilot for smooth and flawless conversions.

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.

jsontochatgpt.com is a domain available for purchase on GoDaddy Auctions. The website provides information about the domain and its availability for interested buyers. It is not an AI tool or application, but rather a platform for domain transactions and auctions.

Convert AI is an AI-powered B2B lead generation and appointment setting tool that helps businesses scale their growth by providing intelligent prospect data, on-demand human sales talent, and multi-channel campaigns. The tool leverages AI to generate highly targeted lead lists, execute smart campaigns, deploy multi-channel sequences, create a sales feedback loop, and develop custom playbooks to optimize lead quality over time. Convert AI has been rated 5 stars on Clutch and has successfully closed numerous deals for various clients across different industries.

ElevenLabs is a text-to-speech (TTS) platform that uses artificial intelligence (AI) to generate realistic human-like voices. With ElevenLabs, you can convert any text into high-quality spoken audio in over 29 languages and 120 voices. The platform is easy to use and offers a variety of features, including the ability to adjust the voice's pitch, speed, and volume. You can also use ElevenLabs to create custom voices and clone your own voice. ElevenLabs is a powerful tool for content creators, businesses, and anyone who wants to create realistic spoken audio.

TTSMaker is a free online text-to-speech tool that allows users to convert text into natural-sounding speech. It supports multiple languages and voices, and the resulting audio files can be downloaded for free and used for commercial purposes. TTSMaker is a valuable tool for creating audiobooks, dubbing videos, and other projects that require high-quality voiceovers.

Transkriptor is an AI-powered tool that allows users to convert audio or video files into text with high accuracy and efficiency. It supports over 100 languages and offers features like automatic transcription, translation, rich export options, and collaboration tools. With state-of-the-art AI technology, Transkriptor simplifies the transcription process for various purposes such as meetings, interviews, lectures, and more. The platform ensures fast, accurate, and affordable transcription services, making it a valuable tool for professionals and students across different industries.

Vectorizer.AI is an online tool that allows users to convert PNG and JPG images to SVG vectors quickly and easily using artificial intelligence. The tool analyzes, processes, and converts images from pixels to geometric shapes fully automatically. It offers a full-featured deep vector engine, proprietary computational geometry framework, and various shape fitting options to produce high-quality vector images. Vectorizer.AI supports multiple output formats, including SVG, PDF, EPS, DXF, and PNG, and provides features like symmetry modeling, adaptive simplification, palette control, and sub-pixel precision.

Unbounce is an AI-powered landing page creation and optimization platform that helps businesses convert more visitors into leads, sales, and signups. With Unbounce, you can create custom landing pages twice as fast as old-school builders and get way better results. Unbounce also offers AI copywriting tools that can instantly generate, remix, and expand content for anything—like landing pages, ads, emails—in seconds. And with Unbounce's Smart Traffic feature, you can improve your results with the click of a button. Unbounce routes your visitors to the best landing page for people like them and—on average—gets you 30% more sales and signups.

Humanize AI Text is a free online AI humanizer tool that converts AI-generated content from ChatGPT, Google Bard, Jasper, QuillBot, Grammarly, or any other AI to human text without altering the content's meaning. The platform uses advanced algorithms to analyze and produce output that mimics human writing style. It offers various modes for conversion and supports multiple languages. The tool aims to help content creators, bloggers, and writers enhance their content quality and improve search engine ranking by converting AI-generated text into human-readable form.

Vectorizer.io is an online tool that converts raster images (such as PNGs, BMPs, and JPEGs) into scalable vector graphics (SVGs, EPSs, and DXFs). Vectorization is the process of converting pixel-based images into mathematical equations that define lines, curves, and shapes. This makes vector images resolution-independent, meaning they can be scaled to any size without losing quality. Vectorizer.io uses advanced algorithms to accurately trace the outlines of objects in raster images, producing high-quality vector outputs that are suitable for a variety of purposes, such as logo design, web graphics, and print production.

CodeConvert AI is an online tool that allows users to convert code across 25+ programming languages with a simple click of a button. It offers high-quality code conversion using advanced AI models, eliminating the need for manual rewriting. Users can convert code without the hassle of downloading or installing any software, ensuring privacy and security as the tool does not retain user input or generated output code. CodeConvert AI provides unlimited usage on paid plans and supports a wide range of programming languages, making it a valuable resource for developers looking to save time and effort in code conversion.

AI to Human Text Converter is a free online tool that allows users to convert AI-generated text into human-like content without changing any words. The tool removes the AI signature watermark from the text and keeps the generated text as it is without changing it. Our advanced AI detection bypass tool works on cutting-edge technology to ensure that your content meets the requirements of search engines, optimizing it for SEO and improving its visibility online. Our tool uses advanced algorithms to analyze the content and produce output that mimics how humans type and help to bypass AI detector tools. This means you can quickly convert AI-generated content into human form text that is clear, engaging, and easy to understand.

Customers.ai is an AI-powered platform that offers visitor identification and remarketing solutions to help businesses convert website visitors into customers. The platform provides advanced features such as Website Visitor ID Pixel, Contact Data Enrichment, Abandoned Cart Recovery, High-Intent Visitor Audiences, and AI Email Writer. Customers.ai enables personalized outreach, retargeting, and customer journey insights using AI technology. The platform is designed to enhance marketing performance, increase conversion rates, and improve user engagement through data-driven strategies.

Humanize AI Text is a free online tool that converts AI-generated text from platforms like ChatGPT, Bard, Bing, or any other AI content generator to human-like content. The tool ensures that the converted text sounds natural, conversational, and free from robotic tones, preserving the original meaning and context. It bypasses all AI content detectors in the market, producing 100% human-like content. Users can easily convert their AI text to human text by pasting it into the tool, clicking the 'Humanize Text' button, and reviewing the output. The tool is suitable for content creators, marketers, business professionals, students, developers, PR professionals, social media managers, researchers, and anyone looking to improve their writing quality.

TranscribeMe is an application that allows users to convert voice notes from WhatsApp and Telegram into text. It is a free-to-use bot that does not require any downloads or additional information. TranscribeMe also offers a paid subscription service called TranscribeGo, which allows users to transcribe an unlimited number of audios and perform precise audio analysis. TranscribeMe is a valuable tool for anyone who wants to save time and effort by converting voice notes into text.

UglyFeed is a simple Python application designed to retrieve, aggregate, filter, rewrite, evaluate, and serve content (RSS feeds) written by a large language model. It provides features such as retrieving RSS feeds, aggregating feed items by similarity, rewriting content using various APIs, saving rewritten feeds to JSON files, converting JSON to valid RSS feed, serving XML feed via an HTTP server, deploying XML feed to GitHub or GitLab, and evaluating generated content. The tool can be used for smart content curation, dynamic blog generation, interactive educational tools, personalized reading experiences, brand monitoring, multilingual content delivery, enhanced RSS feeds, creative writing assistance, content repurposing, and fake news detection datasets. It is modular, extensible, and aims to empower users in content manipulation and delivery.

The text-extract-api is a powerful tool that allows users to convert images, PDFs, or Office documents to Markdown text or JSON structured documents with high accuracy. It is built using FastAPI and utilizes Celery for asynchronous task processing, with Redis for caching OCR results. The tool provides features such as PDF/Office to Markdown and JSON conversion, improving OCR results with LLama, removing Personally Identifiable Information from documents, distributed queue processing, caching using Redis, switchable storage strategies, and a CLI tool for task management. Users can run the tool locally or on cloud services, with support for GPU processing. The tool also offers an online demo for testing purposes.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

PhoGPT is an open-source 4B-parameter generative model series for Vietnamese, including the base pre-trained monolingual model PhoGPT-4B and its chat variant, PhoGPT-4B-Chat. PhoGPT-4B is pre-trained from scratch on a Vietnamese corpus of 102B tokens, with an 8192 context length and a vocabulary of 20K token types. PhoGPT-4B-Chat is fine-tuned on instructional prompts and conversations, demonstrating superior performance. Users can run the model with inference engines like vLLM and Text Generation Inference, and fine-tune it using llm-foundry. However, PhoGPT has limitations in reasoning, coding, and mathematics tasks, and may generate harmful or biased responses.

This repository provides a tool to create an AI chatbot clone of yourself using your WhatsApp chats as training data. It utilizes the Torchtune library for finetuning and inference. The code includes preprocessing of WhatsApp chats, finetuning models, and chatting with the AI clone via a command-line interface. Supported models are Llama3-8B-Instruct and Mistral-7B-Instruct-v0.2. Hardware requirements include approximately 16 GB vRAM for QLoRa Llama3 finetuning with a 4k context length. The repository addresses common issues like adjusting parameters for training and preprocessing non-English chats.

OpenedAI Speech is a free, private text-to-speech server compatible with the OpenAI audio/speech API. It offers custom voice cloning and supports various models like tts-1 and tts-1-hd. Users can map their own piper voices and create custom cloned voices. The server provides multilingual support with XTTS voices and allows fixing incorrect sounds with regex. Recent changes include bug fixes, improved error handling, and updates for multilingual support. Installation can be done via Docker or manual setup, with usage instructions provided. Custom voices can be created using Piper or Coqui XTTS v2, with guidelines for preparing audio files. The tool is suitable for tasks like generating speech from text, creating custom voices, and multilingual text-to-speech applications.

CB-Tumblebug (CB-TB) is a system for managing multi-cloud infrastructure consisting of resources from multiple cloud service providers. It provides an overview, features, and architecture. The tool supports various cloud providers and resource types, with ongoing development and localization efforts. Users can deploy a multi-cloud infra with GPUs, enjoy multiple LLMs in parallel, and utilize LLM-related scripts. The tool requires Linux, Docker, Docker Compose, and Golang for building the source. Users can run CB-TB with Docker Compose or from the Makefile, set up prerequisites, contribute to the project, and view a list of contributors. The tool is licensed under an open-source license.

Open-LLM-VTuber is a project in early stages of development that allows users to interact with Large Language Models (LLM) using voice commands and receive responses through a Live2D talking face. The project aims to provide a minimum viable prototype for offline use on macOS, Linux, and Windows, with features like long-term memory using MemGPT, customizable LLM backends, speech recognition, and text-to-speech providers. Users can configure the project to chat with LLMs, choose different backend services, and utilize Live2D models for visual representation. The project supports perpetual chat, offline operation, and GPU acceleration on macOS, addressing limitations of existing solutions on macOS.

LitGPT is a command-line tool designed to easily finetune, pretrain, evaluate, and deploy 20+ LLMs **on your own data**. It features highly-optimized training recipes for the world's most powerful open-source large-language-models (LLMs).

WebRL is a self-evolving online curriculum learning framework designed for training web agents in the WebArena environment. It provides model checkpoints, training instructions, and evaluation processes for training the actor and critic models. The tool enables users to generate new instructions and interact with WebArena to configure tasks for training and evaluation.

Nexa SDK is a comprehensive toolkit supporting ONNX and GGML models for text generation, image generation, vision-language models (VLM), and text-to-speech (TTS) capabilities. It offers an OpenAI-compatible API server with JSON schema mode and streaming support, along with a user-friendly Streamlit UI. Users can run Nexa SDK on any device with Python environment, with GPU acceleration supported. The toolkit provides model support, conversion engine, inference engine for various tasks, and differentiating features from other tools.

Bodhi App runs Open Source Large Language Models locally, exposing LLM inference capabilities as OpenAI API compatible REST APIs. It leverages llama.cpp for GGUF format models and huggingface.co ecosystem for model downloads. Users can run fine-tuned models for chat completions, create custom aliases, and convert Huggingface models to GGUF format. The CLI offers commands for environment configuration, model management, pulling files, serving API, and more.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

OpenUI is a tool designed to simplify the process of building UI components by allowing users to describe UI using their imagination and see it rendered live. It supports converting HTML to React, Svelte, Web Components, etc. The tool is open source and aims to make UI development fun, fast, and flexible. It integrates with various AI services like OpenAI, Groq, Gemini, Anthropic, Cohere, and Mistral, providing users with the flexibility to use different models. OpenUI also supports LiteLLM for connecting to various LLM services and allows users to create custom proxy configs. The tool can be run locally using Docker or Python, and it offers a development environment for quick setup and testing.

LLM_QLoRA is a repository for fine-tuning Large Language Models (LLMs) using QLoRA methodology. It provides scripts for training LLMs on custom datasets, pushing models to HuggingFace Hub, and performing inference. Additionally, it includes models trained on HuggingFace Hub, a blog post detailing the QLoRA fine-tuning process, and instructions for converting and quantizing models. The repository also addresses troubleshooting issues related to Python versions and dependencies.

Eval-Scope is a framework designed to support the evaluation of large language models (LLMs) by providing pre-configured benchmark datasets, common evaluation metrics, model integration, automatic evaluation for objective questions, complex task evaluation using expert models, reports generation, visualization tools, and model inference performance evaluation. It is lightweight, easy to customize, supports new dataset integration, model hosting on ModelScope, deployment of locally hosted models, and rich evaluation metrics. Eval-Scope also supports various evaluation modes like single mode, pairwise-baseline mode, and pairwise (all) mode, making it suitable for assessing and improving LLMs.

Fix YAML syntax errors in Helm charts and YAML files.

Analyzes json files into JSONPath Syntax elements

熟练掌握各类python代码的编制

Takes all input into consideration and creates a JSON-appropriate response. Also useful for creating templates.

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。

写真から情報をJSONに変換

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

A handy JSON utility agent

Translates language text in JSON files.

Extracts JSON from source code using regex.

Advanced JSON formatting and validation tool.

Efficient, task-focused GPT for formatting scripts and JSON fields

Create JSON recipes for the MV1

Always transforms inputs into Lego art.

Convert application descriptions to consumable DB schemas or create-table SQL statements

Convert knowledge into flashcard format

Find the right size clothes. I convert your measurements into sizes of different standards. Say “hello” in your language to start.

Convert emotions and feelings to evocative abstract art. Share you daily mood with text or emoji and I help you to create masterpiece .

Convert the uploaded images to pencil drawing

Convert between text and morse code