Best AI tools for< Check Grammar And Plagiarism >

This website provides AI-powered tools for writing text, generating SEO-optimized web page content, and more. It is designed to help users create high-quality content quickly and easily.

AcademicIdeas is an AI-powered writing assistant that helps students and researchers with their academic writing. It offers a range of features to help users improve their writing, including grammar and plagiarism checking, citation generation, and personalized feedback.

Scribool is an AI-powered writing assistant that can help you with a variety of writing tasks, from generating creative content to checking grammar and plagiarism. It is designed to be easy to use, with a simple interface and a variety of features to help you get the most out of your writing.

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.

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

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.

Paraphrase Tool is an online tool that helps users rewrite text in different ways. It uses artificial intelligence (AI) to generate paraphrased text that is unique and plagiarism-free. The tool offers 20 different modes, including a summarizer, grammar checker, text simplifier, and sentence shortener. It can also generate paragraphs from keywords and check text for plagiarism in over 50 languages. Paraphrase Tool is free to use, but users can also upgrade to a premium subscription for more features.

ZeroGPT is a trusted AI detector tool that specializes in detecting AI-generated content like ChatGPT, GPT4, and Gemini. It offers advanced features such as AI summarization, paraphrasing, grammar and spell checking, translation, word counting, and citation generation. The tool is designed to provide highly accurate results and supports multiple languages. ZeroGPT stands out for its highlighted sentences feature, batch file upload capability, high accuracy model, and automatically generated reports. It utilizes DeepAnalyse™ Technology, a multi-stage methodology that optimizes accuracy while minimizing false positives and negatives. Users can unlock premium features and API access to enhance their writing skills and integrate the tool on a large scale.

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.

Multilings is a neural AI-based machine learning service that provides human-like output for text translation, content writing, plagiarism detection, and voice translation. It is designed for marketers, content writers, researchers, students, and anyone who needs to create high-quality content quickly and efficiently. Multilings offers a range of tools, including a writing assistant, language translator, plagiarism checker, citation generator, and AI chatbot. These tools are powered by advanced machine learning and artificial intelligence algorithms that can generate natural-sounding text, translate languages accurately, detect plagiarism effectively, and provide helpful writing suggestions.

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.

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.

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.

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.

Type AI is an AI-powered keyboard that allows users to write with the assistance of the latest deep learning models. It can be used in any app, making it a versatile tool for a variety of writing tasks. Type AI is designed to help users write more efficiently and effectively, by providing them with suggestions for words, phrases, and even entire sentences. It can also be used to translate text, check grammar, and detect plagiarism.

EditPad is an online plain text editor that serves as an online notepad and wordpad for editing plain text. It offers various features such as word count, character count, plagiarism and grammar checking, text paraphrasing, essay writing with AI assistance, thesis and paragraph writing support, story generation, and more. Users can upload files, share notes, protect notes with passwords, and convert rich text to plain text. EditPad is a versatile tool suitable for students, writers, bloggers, developers, and anyone who needs to write and edit text quickly and efficiently.

Bramework is an AI-powered writing assistant that helps bloggers create high-quality, SEO-optimized content in a fraction of the time. With Bramework, you can generate blog post ideas, outlines, and full drafts in minutes. The tool also includes a plagiarism checker and a grammar checker to help you ensure that your content is error-free.

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.

StudyPro is a premier online learning platform designed for students to enhance their academic performance. It offers a wide range of services, including grammar checking, paraphrasing, homework planning, and AI writing tools. StudyPro leverages advanced AI technologies to provide personalized learning experiences and support students in achieving their educational goals. The platform aims to simplify the learning process by offering innovative features and top-notch support to help students succeed in their academic journey.

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.

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.

**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.

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.

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.

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.

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.

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.

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.

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.

The Artificial Intelligence Controller Interface (AICI) lets you build Controllers that constrain and direct output of a Large Language Model (LLM) in real time. Controllers are flexible programs capable of implementing constrained decoding, dynamic editing of prompts and generated text, and coordinating execution across multiple, parallel generations. Controllers incorporate custom logic during the token-by-token decoding and maintain state during an LLM request. This allows diverse Controller strategies, from programmatic or query-based decoding to multi-agent conversations to execute efficiently in tight integration with the LLM itself.

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.

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.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

Enthusiastic about truth in academic papers, critical and analytical.

Compares and reports differences in text files

メールの作成・添削・返信の提案などを行います。メールの校正は、草案をそのままコピペするだけで可能です。件名・署名・添付ファイルなどを忘れないようリマインドも行います。さらにこのGPTは、特別な設定で「Use conversation data in your GPT to improve our models」の項目をOFFにしています。そのため、うっかり機密情報が含まれるメール文を送信してしまった場合でも、ChatGPTの学習に利用されないと思われます。 ※ただし、今後の仕様変更や他の経路からの情報漏洩などのリスクもありえます。個人情報は決して書き込まないでください。

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.

Refines grammar and spelling without changing content.

Multilingual linguistic assistant for grammar and language queries

A master in grammar and essay writing for Enem.

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.

Expert in copywriting, specializing in grammar checks and proofreading.

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

GPT, které se specializuje na český jazyk, jeho gramatiku, typografii a citace respektující ISO 690

Corrects grammar in English and Spanish.

A concise proofreading agent offering grammar checks and tonal adjustments.