Best AI tools for< Check Grammar >

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.

Slick Write is a powerful, free AI application designed to help users check their writing for grammar errors, potential stylistic mistakes, and other features of interest. It goes beyond simple spell checking to teach users effective writing habits. Whether you're a blogger, novelist, SEO professional, or student, Slick Write can assist in improving your content's impact, readability, and overall quality.

Essay Check is a free AI-powered tool that helps students, teachers, content creators, SEO specialists, and legal experts refine their writing, detect plagiarism, and identify AI-generated content. With its user-friendly interface and advanced algorithms, Essay Check analyzes text to identify grammatical errors, spelling mistakes, instances of plagiarism, and the likelihood that content was written using AI. The tool provides detailed feedback and suggestions to help users improve their writing and ensure its originality and authenticity.

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.

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. Trinka's Enterprise solutions come with unlimited access and great customization options to all of Trinka's powerful capabilities.

PaperRater is a free online proofreader and plagiarism checker that uses AI to scan essays and papers for errors and assign them an automated score. It offers grammar checking, writing suggestions, and plagiarism detection. PaperRater is accessible, requiring no downloads or signups, and is used by thousands of students every day in over 140 countries.

Check Typo is an AI-powered spell-checker tool designed to assist users in eliminating typos and grammatical errors from their writing. It seamlessly integrates within various websites, supports multiple languages, and preserves the original text's style and tone. Ideal for students, professionals, and writers, Check Typo enhances the writing experience with AI-driven precision, making it perfect for error-free emails, professional networking on platforms like LinkedIn, and enhancing social media posts across different platforms.

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).

Paperpal is an AI-powered academic writing tool that provides real-time language suggestions, plagiarism detection, and translation services to help students, researchers, and publishers improve the quality of their writing. It is designed to enhance academic writing by offering subject-specific language suggestions, paraphrasing tools, and AI-powered writing assistance.

FuturePerfect is a 24/7 proofreading AI tool designed to crawl through websites and detect grammar and spelling errors in real-time. By leveraging advanced algorithms, it ensures that websites always maintain a professional and polished appearance, protecting the brand reputation from embarrassing mistakes that could potentially cost deals. With support for 30 languages, FuturePerfect offers seamless integration without the need for complex setup, providing instant alerts and detailed reports for error corrections.

WhiteSmoke is a world-leading language solution that offers fully integrated, state-of-the-art English writing tools. It detects hundreds of previously undetected errors, provides redesigned layout and user experience to increase efficiency, and offers dozens of feature and content updates. WhiteSmoke Premium Advanced Integrated Writing Solution includes spelling, grammar, punctuation, style, and plagiarism checker, along with over 100 document and letter templates, translator, dictionary for over 50 languages, video tutorials, error explanations, and text enrichment. WhiteSmoke Mobile provides perfect grammar at your fingertips with extensive writing tutorials and works on all Android and iOS devices. The tool is widely used by students, professional writers, executives, bloggers, governmental employees, and English learners.

PaperTyper is an online writing platform that offers a range of free tools for students to use in their academic writing. These tools include an AI essay writer, plagiarism checker, grammar checker, and citation generator. PaperTyper also offers a paid service where students can hire professional essay writers to write their papers for them.

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.

Essay AI is a free essay-checking tool designed to help users review their essays for grammatical errors, unclear phrasing, and word misusage. It offers features such as AI autocomplete, conversation engagement, source citation, paraphrasing, rewriting, and outline building. The tool aims to save users valuable time and ensure their work meets high-quality standards. Trusted by top universities, Essay AI streamlines the essay writing process and provides instant feedback to improve writing skills.

Reverso is a free translation tool that offers a comprehensive set of features to help users translate text, documents, and more in multiple languages. It provides grammar checks, synonyms, conjugation, and context-based translations. With cutting-edge AI-powered technology, Reverso delivers accurate translations in various languages, including Arabic, Chinese, Italian, and more. Users can enjoy features like document translation, integrated dictionaries, grammar check, neural machine translation, pronunciation guides, and verb conjugation. Reverso aims to assist millions of individuals and organizations in communicating efficiently and precisely across different languages.

Cuely is an AI-powered tool that helps users perform various tasks and improve their productivity within Slack. It offers a range of features, including drafting replies, checking grammar and spelling, summarizing text, translating languages, and providing advice on problems. Cuely is designed to be easy to use, with three ways to access its AI capabilities within Slack: using the /cue prompt command, mentioning @cuely in group chats, or messaging Cuely directly.

AHelp is the ultimate hub of educational and AI writing tools designed to assist students in improving their writing skills, enhancing efficiency, and achieving academic success. The platform offers a variety of powerful AI tools and applications such as Paraphraser, Grammar Checker, Plagiarism Checker, AI Detector, AI Essay Writer, Summarizer, and Citation Generator. AHelp is a one-stop solution for better writing, providing confidentiality, privacy, and a money-back guarantee. With a mission to empower students from top universities, AHelp ensures 100% compliance with academic standards, a significant improvement in writing quality, and a faster writing and research process.

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.

AI Essay Writer is a free online tool that helps users generate high-quality essays quickly and efficiently. The tool uses artificial intelligence algorithms to analyze the given topic, research relevant information, and create well-structured essays. Users can input their essay prompts or topics, and the AI Essay Writer will generate a well-written essay with proper grammar and coherence. This tool is beneficial for students, writers, and professionals looking to save time and improve their writing skills.

Textero AI Essay Writer is an advanced artificial intelligence tool designed to assist users in generating high-quality essays efficiently. The application utilizes natural language processing algorithms to analyze user input and provide suggestions for improving content structure, grammar, and overall readability. With Textero, users can save time on research and writing, enhance their writing skills, and produce well-crafted essays on various topics. The tool offers a user-friendly interface and intuitive features to streamline the essay writing process.

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.

OGPT.nvim is a Neovim plugin that enables users to interact with various language models (LLMs) such as Ollama, OpenAI, TextGenUI, and more. Users can engage in interactive question-and-answer sessions, have persona-based conversations, and execute customizable actions like grammar correction, translation, keyword generation, docstring creation, test addition, code optimization, summarization, bug fixing, code explanation, and code readability analysis. The plugin allows users to define custom actions using a JSON file or plugin configurations.

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.

Extension | OS is an open-source browser extension that brings AI directly to users' web browsers, allowing them to access powerful models like LLMs seamlessly. Users can create prompts, fix grammar, and access intelligent assistance without switching tabs. The extension aims to revolutionize online information interaction by integrating AI into everyday browsing experiences. It offers features like Prompt Factory for tailored prompts, seamless LLM model access, secure API key storage, and a Mixture of Agents feature. The extension was developed to empower users to unleash their creativity with custom prompts and enhance their browsing experience with intelligent assistance.

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.

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.

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.

**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.

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.

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.

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.

Yet Another Applied LLM Benchmark is a collection of diverse tests designed to evaluate the capabilities of language models in performing real-world tasks. The benchmark includes tests such as converting code, decompiling bytecode, explaining minified JavaScript, identifying encoding formats, writing parsers, and generating SQL queries. It features a dataflow domain-specific language for easily adding new tests and has nearly 100 tests based on actual scenarios encountered when working with language models. The benchmark aims to assess whether models can effectively handle tasks that users genuinely care about.

The LLM-Aided OCR Project is an advanced system that enhances Optical Character Recognition (OCR) output by leveraging natural language processing techniques and large language models. It offers features like PDF to image conversion, OCR using Tesseract, error correction using LLMs, smart text chunking, markdown formatting, duplicate content removal, quality assessment, support for local and cloud-based LLMs, asynchronous processing, detailed logging, and GPU acceleration. The project provides detailed technical overview, text processing pipeline, LLM integration, token management, quality assessment, logging, configuration, and customization. It requires Python 3.12+, Tesseract OCR engine, PDF2Image library, PyTesseract, and optional OpenAI or Anthropic API support for cloud-based LLMs. The installation process involves setting up the project, installing dependencies, and configuring environment variables. Users can place a PDF file in the project directory, update input file path, and run the script to generate post-processed text. The project optimizes processing with concurrent processing, context preservation, and adaptive token management. Configuration settings include choosing between local or API-based LLMs, selecting API provider, specifying models, and setting context size for local LLMs. Output files include raw OCR output and LLM-corrected text. Limitations include performance dependency on LLM quality and time-consuming processing for large documents.

Parrot is a distributed serving system for LLM-based Applications, designed to efficiently serve LLM-based applications by adding Semantic Variable in the OpenAI-style API. It allows for horizontal scalability with multiple Engine instances running LLM models communicating with ServeCore. The system enables AI agents to interact with LLMs via natural language prompts for collaborative tasks.

BlendSQL is a superset of SQLite designed for problem decomposition and hybrid question-answering with Large Language Models (LLMs). It allows users to blend operations over heterogeneous data sources like tables, text, and images, combining the structured and interpretable reasoning of SQL with the generalizable reasoning of LLMs. Users can oversee all calls (LLM + SQL) within a unified query language, enabling tasks such as building LLM chatbots for travel planning and answering complex questions by injecting 'ingredients' as callable functions.

This repository contains Jupyter-based tutorials for NLP, ML, AI in Python for classes in Computational Linguistics, Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) at Indiana University.

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.

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.

This repository focuses on organizing resources for building synthetic datasets using large language models. It covers important datasets, libraries, tools, tutorials, and papers related to synthetic data generation. The goal is to provide pragmatic and practical resources for individuals interested in creating synthetic datasets for machine learning applications.

model.nvim is a tool designed for Neovim users who want to utilize AI models for completions or chat within their text editor. It allows users to build prompts programmatically with Lua, customize prompts, experiment with multiple providers, and use both hosted and local models. The tool supports features like provider agnosticism, programmatic prompts in Lua, async and multistep prompts, streaming completions, and chat functionality in 'mchat' filetype buffer. Users can customize prompts, manage responses, and context, and utilize various providers like OpenAI ChatGPT, Google PaLM, llama.cpp, ollama, and more. The tool also supports treesitter highlights and folds for chat buffers.

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.

Expert in Korean grammar and syntax.

Aides in mastering English grammar, tailoring questions to user's level.

Think like a prescriptive grammarian in Comparative Constructions!

English language expert aiding non-English speakers with text corrections.

Grammar checker and translator with a focus on explaining errors.

Specializes in grammar correction and sensitivity checks.

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

Expert in correcting grammar across multiple languages

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

Grammar Question by the Passage

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

Corrects grammar in English and Spanish.

Multilingual linguistic assistant for grammar and language queries

I'm an English teacher here to check and simplify your messages.

Refines grammar and spelling without changing content.

Expert in copywriting, specializing in grammar checks and proofreading.

A master in grammar and essay writing for Enem.

Enhanced FAANG Writing coach with spell check and readability tools

Lingo Tutor is your personal language learning companion, designed to make mastering a new language engaging, efficient, and enjoyable. LingoGPT Tutor offers interactive conversations, grammar tips, cultural insights, and much more to help you become fluent in your chosen language.