Best AI tools for< check grammar and style >

LanguageTool is an AI-based spelling, style, and grammar checker that helps correct or paraphrase texts across languages. It offers a range of features including grammar checking, paraphrasing, punctuation correction, style improvement, and more. LanguageTool is available as a browser extension, desktop app, and mobile app, and it supports over 30 languages. It is used by over 2000 organizations, including BMW Group, European Union, Spiegel Magazine, and Deutsche Presse-Agentur (dpa).

Textero AI is an all-in-one AI essay writer that helps students and academic writers research, write, and edit essays and research papers faster and more efficiently. It offers a range of features including an intelligent outlining module, dynamic research engine, adaptive writing assistant, multi-format citation engine, ask AI function, extensive academic database access, contextualized content generation, anti-plagiarism shield, and free version.

Kwirk.io is a cloud-based AI-powered writing assistant that helps users create high-quality content quickly and efficiently. It offers a range of features, including automated text generation, grammar and style checking, plagiarism detection, and real-time feedback. Kwirk.io is designed to help users save time and improve the quality of their writing, making it an ideal tool for students, professionals, and anyone who needs to create written content.

English and Tagalog Grammar Checker is a free online tool that checks your grammar and spelling. It can also help you improve your writing style and avoid common mistakes. The tool is easy to use and can be used by anyone, regardless of their level of English proficiency.

Copyleaks is a comprehensive suite of AI-based text analysis products designed to help users create and protect original content. The platform includes tools for detecting plagiarism, identifying AI-generated content, checking for grammar and writing style, and grading standardized tests. Copyleaks offers a range of integrations with other platforms, including LMS systems and plagiarism checkers, and provides a robust API for developers to integrate Copyleaks' functionality into their own applications.

Quill AI is a writing assistant that uses artificial intelligence to help you write better. It can help you with everything from brainstorming ideas to checking your grammar and style. Quill AI is designed to make writing faster, easier, and more enjoyable.

Writeseed is an AI-powered writing tool that helps users create high-quality content quickly and easily. With over 70 fine-tuned AI templates, Writeseed can generate a wide range of content, including blog posts, articles, ad copy, and social media posts. Writeseed also offers a variety of features to help users improve their writing, such as an AI-powered editor that can check for grammar and style errors, and a plagiarism checker. Writeseed is a valuable tool for anyone who wants to create high-quality content quickly and easily.

Trinka is an AI-powered English grammar checker and language enhancement writing assistant designed for academic and technical writing. It corrects contextual spelling mistakes and advanced grammar errors by providing writing suggestions in real-time. Trinka helps professionals and academics ensure formal, concise, and engaging writing.

Langcheck is an AI-powered language assistant that helps you write better in English. It checks your grammar, spelling, and style, and provides suggestions for improvement. Langcheck also offers a variety of writing tools, such as a thesaurus, a dictionary, and a translator.

This free AI email writer is a powerful tool that can help you quickly and easily draft replies to any email. With its advanced AI technology, the email writer can analyze the content of your email and generate a personalized response that is both professional and engaging. Whether you're dealing with a customer inquiry, a sales pitch, or a personal message, the AI email writer can help you save time and effort while ensuring that your emails are always on point.

Linguix is an AI-powered writing assistant that helps you write better in English. It checks your grammar, spelling, and style, and provides suggestions to improve your writing. Linguix also has a built-in translator, so you can translate your writing into over 100 languages.

Linguix is a GPT-4 writing and productivity copilot for teams. It uses artificial intelligence to improve grammar, spelling, and style, and to help users write more clearly and effectively. Linguix is available as a browser extension and a web editor, and it can be used with a variety of online platforms, including Gmail, Google Docs, and OpenAI. Linguix is trusted by over 310,000 users, including Google Chrome Store Featured App, Edge Store Featured App, Product Hunt Top #1 writing assistant, G2 reviews website Top proofreading tool, and Linguix for Figma Featured App.

Autodraft is an AI-powered writing assistant that helps you create high-quality content quickly and easily. With Autodraft, you can generate text, translate languages, summarize documents, and more. Autodraft is the perfect tool for anyone who wants to improve their writing skills or save time on content creation.

AI Checker is a free online tool that uses advanced artificial intelligence technology to detect AI-generated content. It can accurately identify text written by ChatGPT, Bard, and GPT-4, even when the text is carefully crafted to avoid detection. This AI writing checker works by analyzing the writing style and sentence structure. It looks for patterns that are commonly found in AI-generated content, such as repetitive phrases, vocabulary, keywords, academic language, and grammar errors. Our AI detector analyzes the text and provides a percentage score indicating the likelihood of AI writing similarity. A score of 100% means that the text is almost certainly AI-generated, while a score of 0% means that it is almost certainly human-written.

Aithor is an online essay and paper writing and paraphrasing tool. It is a web-based application that helps users to write essays, papers, and other types of written content. Aithor uses artificial intelligence to help users generate ideas, write better sentences, and improve their overall writing style.

Gramara is an AI-powered grammar checker that helps you write error-free text. It can detect and correct a wide range of grammar, spelling, and punctuation errors, and it can also provide suggestions for improving your writing style.

Narrato is an AI-powered content creation and project management platform that offers a wide range of features to assist users in creating high-quality content efficiently. It provides tools such as AI writing assistant, topic generator, grammar and readability checker, plagiarism detector, content calendar, task assignment, custom content templates, style guides, freelancer management, user roles management, content collaboration, WordPress publishing, image search, and more. Narrato aims to streamline the content creation process for individuals and teams, making it easier to manage projects and collaborate effectively.

EssayGrader is an AI-powered grading assistant that provides high-quality, specific, and accurate writing feedback for essays. It analyzes essays for grammar, punctuation, spelling, coherence, clarity, and writing style errors. EssayGrader also offers bulk uploading, custom rubrics, a summarizer, an AI detector, and classes to organize students' essays.

Grammarly is an AI-powered writing assistant that helps users improve their writing. It offers a range of features, including a grammar checker, plagiarism checker, and writing suggestions. Grammarly is available as a desktop app, browser extension, and mobile app.

Henshu is an AI-powered writing assistant that helps users improve their writing style, grammar, and tone. It offers a variety of features, including the ability to check for plagiarism, generate citations, and translate text into different languages. Henshu is designed to help users create clear, concise, and engaging content.

mllm is a fast and lightweight multimodal LLM inference engine for mobile and edge devices. It is a Plain C/C++ implementation without dependencies, optimized for multimodal LLMs like fuyu-8B, and supports ARM NEON and x86 AVX2. The engine offers 4-bit and 6-bit integer quantization, making it suitable for intelligent personal agents, text-based image searching/retrieval, screen VQA, and various mobile applications without compromising user privacy.

llama.cpp is a C++ implementation of LLaMA, a large language model from Meta. It provides a command-line interface for inference and can be used for a variety of tasks, including text generation, translation, and question answering. llama.cpp is highly optimized for performance and can be run on a variety of hardware, including CPUs, GPUs, and TPUs.

The Python Redis Vector Library (RedisVL) is a tailor-made client for AI applications leveraging Redis. It enhances applications with Redis' speed, flexibility, and reliability, incorporating capabilities like vector-based semantic search, full-text search, and geo-spatial search. The library bridges the gap between the emerging AI-native developer ecosystem and the capabilities of Redis by providing a lightweight, elegant, and intuitive interface. It abstracts the features of Redis into a grammar that is more aligned to the needs of today's AI/ML Engineers or Data Scientists.

Neural is a Vim and Neovim plugin that integrates various machine learning tools to assist users in writing code, generating text, and explaining code or paragraphs. It supports multiple machine learning models, focuses on privacy, and is compatible with Vim 8.0+ and Neovim 0.8+. Users can easily configure Neural to interact with third-party machine learning tools, such as OpenAI, to enhance code generation and completion. The plugin also provides commands like `:NeuralExplain` to explain code or text and `:NeuralStop` to stop Neural from working. Neural is maintained by the Dense Analysis team and comes with a disclaimer about sending input data to third-party servers for machine learning queries.

Redis Vector Library (RedisVL) is a Python client library for building AI applications on top of Redis. It provides a high-level interface for managing vector indexes, performing vector search, and integrating with popular embedding models and providers. RedisVL is designed to make it easy for developers to build and deploy AI applications that leverage the speed, flexibility, and reliability of Redis.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

llamafile is a tool that enables users to distribute and run Large Language Models (LLMs) with a single file. It combines llama.cpp with Cosmopolitan Libc to create a framework that simplifies the complexity of LLMs into a single-file executable called a 'llamafile'. Users can run these executable files locally on most computers without the need for installation, making open LLMs more accessible to developers and end users. llamafile also provides example llamafiles for various LLM models, allowing users to try out different LLMs locally. The tool supports multiple CPU microarchitectures, CPU architectures, and operating systems, making it versatile and easy to use.

Mistral.rs is a fast LLM inference platform written in Rust. We support inference on a variety of devices, quantization, and easy-to-use application with an Open-AI API compatible HTTP server and Python bindings.

LLM for Unity enables seamless integration of Large Language Models (LLMs) within the Unity engine, allowing users to create intelligent characters for immersive player interactions. The tool supports major LLM models, runs locally without internet access, offers fast inference on CPU and GPU, and is easy to set up with a single line of code. It is free for both personal and commercial use, tested on Unity 2021 LTS, 2022 LTS, and 2023. Users can build multiple AI characters efficiently, use remote servers for processing, and customize model settings for text generation.

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

LocalAI is a free and open-source OpenAI alternative that acts as a drop-in replacement REST API compatible with OpenAI (Elevenlabs, Anthropic, etc.) API specifications for local AI inferencing. It allows users to run LLMs, generate images, audio, and more locally or on-premises with consumer-grade hardware, supporting multiple model families and not requiring a GPU. LocalAI offers features such as text generation with GPTs, text-to-audio, audio-to-text transcription, image generation with stable diffusion, OpenAI functions, embeddings generation for vector databases, constrained grammars, downloading models directly from Huggingface, and a Vision API. It provides a detailed step-by-step introduction in its Getting Started guide and supports community integrations such as custom containers, WebUIs, model galleries, and various bots for Discord, Slack, and Telegram. LocalAI also offers resources like an LLM fine-tuning guide, instructions for local building and Kubernetes installation, projects integrating LocalAI, and a how-tos section curated by the community. It encourages users to cite the repository when utilizing it in downstream projects and acknowledges the contributions of various software from the community.

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.

SynCode is a novel framework for the grammar-guided generation of Large Language Models (LLMs) that ensures syntactically valid output with respect to defined Context-Free Grammar (CFG) rules. It supports general-purpose programming languages like Python, Go, SQL, JSON, and more, allowing users to define custom grammars using EBNF syntax. The tool compares favorably to other constrained decoders and offers features like fast grammar-guided generation, compatibility with HuggingFace Language Models, and the ability to work with various decoding strategies.

**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.

A concise proofreading agent offering grammar checks and tonal adjustments.

Can accurately answer questions about AR 25-50 and assist in refining documents to ensure they adhere to the Army guidelines for formatting, style, and protocol.

Enhanced FAANG Writing coach with spell check and readability tools

Directly improves and explains your German texts.

Your comprehensive guide to the English language and its cultural, theoretical, and practical aspects.

Language expert for translation and tone styling.

Specializes in grammar correction and sensitivity checks.

Precise grammar, spelling, logic, and coherence analysis with improvements listed in detail.

Expert in Korean grammar and syntax.

Multilingual linguistic assistant for grammar and language queries

A master in grammar and essay writing for Enem.

Enthusiastic about truth in academic papers, critical and analytical.

专注于根据一系列综合标准对文章进行全面评价，包括内容的原理和评价指导。

Corrector in text's language with localized headings

中文议论文写作指导，提供个性化反馈

Grammar checker and translator with a focus on explaining errors.

Enhances user writing with real-time grammar checks and educational tips.

Free Grammar Checker: Your tool for precise, multilingual academic editing. Ideal for English, Spanish, Chinese, Japanese, and more. Enhance essays and theses with clear corrections and grammar insights. Compact, effective, educational.

Marketing Intelligent Assistant Writing Agent excelling in image creation and grammar accuracy.

Paste any foreign language text and I will teach it to you