Best AI tools for< Create Technical Documents >

SummaryGenerator.io is an AI-powered text summarizer that uses advanced algorithms and natural language processing to analyze the content and identify main ideas to generate relevant summaries. It generates summaries of varying lengths for any type of content.

ReportGPT is an AI-powered writing assistant that helps users create high-quality documents efficiently. It offers a range of features, including AI-powered writing assistance, an intuitive user interface, customizable document structures, a versatile writing interface, and diverse export options. ReportGPT is suitable for a variety of writing tasks, including research papers, business plans, product reviews and comparisons, technical documentation, grant and proposal writing, and essays.

ChatDOC is an AI-powered tool that allows users to chat with PDF documents and get instant answers with cited sources. It can summarize long documents, explain complex concepts, and find key information in seconds. ChatDOC is built for professionals and is used by over 500,000 global users.

Scribe is a tool that allows users to create step-by-step guides for any process. It uses AI to automatically generate instructions and screenshots, and it can be used to document processes, train employees, and answer questions. Scribe is available as a Chrome extension and a desktop app.

DocsAI is an AI-powered document companion that helps you organize, search, and chat with your documents. It integrates with various sources, including websites, text files, PDFs, Docx, Notion, and Confluence. You can customize the companion's appearance to match your brand and suggest better answers to improve its accuracy. DocsAI also offers a chat widget that can be embedded on any website, allowing you to chat with your documents and get summaries, insights, and leads. It is mobile and tablet-friendly, and you can export chats and analyze data to identify trends and improve customer satisfaction. DocsAI is open source and offers custom prompts and multi-language support.

Whismer is an AI application that allows users to build custom AI chatbots using their own data. The platform enables users to train their own ChatGPT by uploading documents, adding links, and writing notes. With Whismer, users can customize resources to help the AI system better adapt to specific fields or tasks, improving accuracy and efficiency. The AI proactively learns from user resources to solve various problems. Users can create a professional AI knowledge base in minutes, allowing the AI to learn and provide accurate answers. Whismer also enables users to share their customized AI projects with others, making AI accessible to more people.

CustomGPT.ai is a no-code platform that allows businesses to create their own custom ChatGPT chatbots using their own business content. The platform is powered by GPT-4 and provides a range of features, including the ability to upload documents, integrate with other systems, and customize the chatbot's appearance and behavior. CustomGPT.ai is designed to help businesses improve customer service, employee efficiency, and knowledge management.

Docai is an AI-powered documentation tool that allows users to easily create high-quality instructional videos and how-to articles. By recording your screen and camera with the help of the Docai Chrome Extension, you can quickly generate comprehensive documentation using AI technology. Docai offers features such as studio-quality video production, auto-transcription, video editing capabilities, AI voice narrator, document templates, and collaborative editing. With key integrations, browser extensions, and a robust API, Docai can be seamlessly integrated into various workflows to streamline the documentation process.

Kopyst is an AI-powered documentation tool that revolutionizes the process of creating engaging video and documents. It helps users streamline workflows, create user manuals, SOPs, and training documents with unmatched accuracy and efficiency. Kopyst offers features like instant documentation, versatile application for various document types, AI-powered intelligence, easy sharing and collaboration, and seamless integration with existing tools. The application empowers users to save time, reduce errors, optimize resources, and enhance productivity in documentation tasks.

ReportGPT is an AI-powered writing assistant that helps users generate, review, and refine content. It offers a range of features designed to streamline the writing process, including AI-powered writing assistance, an intuitive user interface, customizable document structures, a versatile writing interface, and diverse export options. ReportGPT is suitable for a variety of writing tasks, including research papers, business plans, product reviews and comparisons, technical documentation, grant and proposal writing, and essays.

Copalot is an AI copilot application designed to provide AI chat and visual video support for small businesses. It helps in reducing customer interaction and support costs by offering AI chat and video FAQ bots that can be embedded in websites or linked to products. Copalot allows users to create custom ChatGPT and FAQs based on their own content, supporting multiple file formats and webpages. The application is user-friendly and multilingual, catering to a global customer base.

Aethera is a collaborative knowledge discovery platform that leverages advanced AI models to help teams and individuals understand documents, YouTube videos, and websites without the need to read them. It offers powerful features for organizing, personalizing, and discovering information, along with document management tools, multilingual support, and the ability to summarize and compare multiple documents. Aethera also allows users to create personalized AI assistants, chat with sets of documents using personas, and work collaboratively within organizations. The platform is designed to streamline knowledge discovery processes and boost productivity by providing tailored insights and summaries from various sources.

Release AI is an AI tool designed to track and document API changes, enabling users to generate release notes efficiently. The tool automates the process of monitoring and recording modifications made to APIs, streamlining the documentation process. With Release AI, users can stay up-to-date with API changes and easily create comprehensive release notes for their projects.

Yoodocs is an AI-powered documentation service that simplifies document creation, management, and collaboration. It offers features such as document hierarchy organization, open-source documentation creation, export to various formats, workspace diversity, language management, version control, seamless migration, AI-powered editor assistant, comprehensive search, automated sync with GitLab and GitHub, self-hosted solution, collaborative development, customization styles and themes, and integrations. Yoodocs aims to enhance productivity and efficiency in projects by providing a comprehensive solution for documentation needs.

Docuopia is an AI-powered document assistant that helps teams write better documents, faster. With Docuopia, you can generate product requirements, help docs, and wikis in minutes, using AI technology. Docuopia also offers real-time collaboration, version control, and personalized optimization, making it the perfect tool for teams of all sizes.

Subatomic is an AI Co-Worker Agents company that offers AI solutions to enhance productivity, streamline tasks, and achieve superior results. Their AI Co-Worker Agents act as digital counterparts to your ideal co-workers, collaborating and complementing your team's strengths. Subatomic empowers organizations to harness the power of AI without disrupting established workflows or burdening teams with complex training. The platform seamlessly integrates into existing tools and processes, delivering smarter, faster, and more collaborative ways of working.

Perfect Wiki is an AI-powered help center application integrated into Microsoft Teams, designed to answer repetitive questions and provide AI-generated responses to colleagues and customers. It allows users to effortlessly convert company knowledge into a professional self-service help center. The application offers features such as adding SOPs, FAQs, manuals, and guides, AI chatbot responses, continuous knowledge base improvement, and weekly AI-generated reports. Perfect Wiki aims to streamline information sharing and collaboration within teams by providing instant answers within the Microsoft Teams environment.

Typewise is an AI-powered communication assistant that helps customer service and sales teams save time, improve response and resolution times, and increase customer satisfaction. It offers features such as text prediction, auto-completion, auto-generated email and chat responses, autocorrect and grammar check, real-time translation, and a custom AI language model. Typewise integrates with popular CRM systems and is available as a SaaS or on-premises solution.

Ticket AI is a Discord bot that automates customer support by answering tickets with AI. It simplifies support by allowing users to upload training data, such as support documents, and then using that data to answer customer questions. Ticket AI is easy to use, with no coding experience required, and it offers features such as custom support channels, ephemeral replies, and 24/7 availability. With Ticket AI, businesses can save time and improve the efficiency of their customer support.

RecapioGPT is an AI-powered writing assistant that helps you write better, faster, and more efficiently. With RecapioGPT, you can generate text, translate languages, summarize documents, and more. RecapioGPT is easy to use and can be integrated with your favorite writing tools.

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.

Heygem is an open-source, affordable alternative to Heygen, offering a fully offline video synthesis tool for Windows systems. It enables precise appearance and voice cloning, allowing users to digitalize their image and drive virtual avatars through text and voice for video production. With core features like efficient video synthesis and multi-language support, Heygem ensures a user-friendly experience with fully offline operation and support for multiple models. The tool leverages advanced AI algorithms for voice cloning, automatic speech recognition, and computer vision technology to enhance the virtual avatar's performance and synchronization.

Chat with your data using OpenAI and AI Search. This solution accelerator uses an Azure OpenAI GPT model and an Azure AI Search index generated from your data, which is integrated into a web application to provide a natural language interface, including speech-to-text functionality, for search queries. Users can drag and drop files, point to storage, and take care of technical setup to transform documents. There is a web app that users can create in their own subscription with security and authentication.

LLM Agentic Tool Mesh is a platform by HPE Athonet that democratizes Generative Artificial Intelligence (Gen AI) by enabling users to create tools and web applications using Gen AI with Low or No Coding. The platform simplifies the integration process, focuses on key user needs, and abstracts complex libraries into easy-to-understand services. It empowers both technical and non-technical teams to develop tools related to their expertise and provides orchestration capabilities through an agentic Reasoning Engine based on Large Language Models (LLMs) to ensure seamless tool integration and enhance organizational functionality and efficiency.

Instrukt is a terminal-based AI integrated environment that allows users to create and instruct modular AI agents, generate document indexes for question-answering, and attach tools to any agent. It provides a platform for users to interact with AI agents in natural language and run them inside secure containers for performing tasks. The tool supports custom AI agents, chat with code and documents, tools customization, prompt console for quick interaction, LangChain ecosystem integration, secure containers for agent execution, and developer console for debugging and introspection. Instrukt aims to make AI accessible to everyone by providing tools that empower users without relying on external APIs and services.

ScrapeGraphAI is a web scraping Python library that utilizes LLM and direct graph logic to create scraping pipelines for websites and local documents. It offers various standard scraping pipelines like SmartScraperGraph, SearchGraph, SpeechGraph, and ScriptCreatorGraph. Users can extract information by specifying prompts and input sources. The library supports different LLM APIs such as OpenAI, Groq, Azure, and Gemini, as well as local models using Ollama. ScrapeGraphAI is designed for data exploration and research purposes, providing a versatile tool for extracting information from web pages and generating outputs like Python scripts, audio summaries, and search results.

This open-source course teaches how to build an advanced RAG and LLM system using LLMOps and ML systems best practices. It helps you create an AI assistant that leverages your personal knowledge base to answer questions, summarize documents, and provide insights. The course covers topics such as LLM system architecture, pipeline orchestration, large-scale web crawling, model fine-tuning, and advanced RAG features. It is suitable for ML/AI engineers and data/software engineers & data scientists looking to level up to production AI systems. The course is free, with minimal costs for tools like OpenAI's API and Hugging Face's Dedicated Endpoints. Participants will build two separate Python applications for offline ML pipelines and online inference pipeline.

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.

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

This repository contains documentation for the AI on the Edge Device Project. Users can edit Markdown documents in the 'docs' folder, create Pull Requests to merge changes, and Github Actions will regenerate the documentation on the 'gh-pages' branch. The documentation includes parameter documentation, template generation for new parameters, formatting options like boxes using the admonition extension, and local testing instructions using MkDocs.

Docs AI is a platform that allows users to train their documents, chat with their documents, and create chatbots to solve queries. It is built using NextJS, Tailwind, tRPC, ShadcnUI, Prisma, Postgres, NextAuth, Pinecone, and Cloudflare R2. The platform requires Node.js (Version: >=18.x), PostgreSQL, and Redis for setup. Users can utilize Docker for development by using the provided `docker-compose.yml` file in the `/app` directory.

RLAMA is a powerful AI-driven question-answering tool that seamlessly integrates with local Ollama models. It enables users to create, manage, and interact with Retrieval-Augmented Generation (RAG) systems tailored to their documentation needs. RLAMA follows a clean architecture pattern with clear separation of concerns, focusing on lightweight and portable RAG capabilities with minimal dependencies. The tool processes documents, generates embeddings, stores RAG systems locally, and provides contextually-informed responses to user queries. Supported document formats include text, code, and various document types, with troubleshooting steps available for common issues like Ollama accessibility, text extraction problems, and relevance of answers.

LaTeX2AI is a plugin for Adobe Illustrator that allows users to use editable text labels typeset in LaTeX inside an Illustrator document. It provides a seamless integration of LaTeX functionality within the Illustrator environment, enabling users to create and edit LaTeX labels, manage item scaling behavior, set global options, and save documents as PDF with included LaTeX labels. The tool simplifies the process of including LaTeX-generated content in Illustrator designs, ensuring accurate scaling and alignment with other elements in the document.

Chroma is an open-source embedding database that provides a simple, scalable, and feature-rich way to build Python or JavaScript LLM apps with memory. It offers a fully-typed, fully-tested, and fully-documented API that makes it easy to get started and scale your applications. Chroma also integrates with popular tools like LangChain and LlamaIndex, and supports a variety of embedding models, including Sentence Transformers, OpenAI embeddings, and Cohere embeddings. With Chroma, you can easily add documents to your database, query relevant documents with natural language, and compose documents into the context window of an LLM like GPT3 for additional summarization or analysis.

WDoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It supports querying tens of thousands of documents simultaneously, offers tailored summaries to efficiently manage large amounts of information, and includes features like supporting multiple file types, various LLMs, local and private LLMs, advanced RAG capabilities, advanced summaries, trust verification, markdown formatted answers, sophisticated embeddings, extensive documentation, scriptability, type checking, lazy imports, caching, fast processing, shell autocompletion, notification callbacks, and more. WDoc is ideal for researchers, students, and professionals dealing with extensive information sources.

prose-polish is a tool for AI interaction through drag-and-drop cards, focusing on editing copy and manuscripts. It can recognize Markdown-formatted documents, automatically breaking them into paragraph cards. Users can create prefabricated prompt cards and quickly connect them to the manuscript for editing. The modified manuscript is still presented in card form, allowing users to drag it out as a new paragraph. To use it smoothly, users just need to remember one rule: 'Plug the plug into the socket!'

ChatData is a robust chat-with-documents application designed to extract information and provide answers by querying the MyScale free knowledge base or uploaded documents. It leverages the Retrieval Augmented Generation (RAG) framework, millions of Wikipedia pages, and arXiv papers. Features include self-querying retriever, VectorSQL, session management, and building a personalized knowledge base. Users can effortlessly navigate vast data, explore academic papers, and research documents. ChatData empowers researchers, students, and knowledge enthusiasts to unlock the true potential of information retrieval.

LangChain Rust is a library for building applications with Large Language Models (LLMs) through composability. It provides a set of tools and components that can be used to create conversational agents, document loaders, and other applications that leverage LLMs. LangChain Rust supports a variety of LLMs, including OpenAI, Azure OpenAI, Ollama, and Anthropic Claude. It also supports a variety of embeddings, vector stores, and document loaders. LangChain Rust is designed to be easy to use and extensible, making it a great choice for developers who want to build applications with LLMs.

wdoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It aims to handle large volumes of diverse document types, making it ideal for researchers, students, and professionals dealing with extensive information sources. wdoc uses LangChain to process and analyze documents, supporting tens of thousands of documents simultaneously. The system includes features like high recall and specificity, support for various Language Model Models (LLMs), advanced RAG capabilities, advanced document summaries, and support for multiple tasks. It offers markdown-formatted answers and summaries, customizable embeddings, extensive documentation, scriptability, and runtime type checking. wdoc is suitable for power users seeking document querying capabilities and AI-powered document summaries.

WordLlama is a fast, lightweight NLP toolkit optimized for CPU hardware. It recycles components from large language models to create efficient word representations. It offers features like Matryoshka Representations, low resource requirements, binarization, and numpy-only inference. The tool is suitable for tasks like semantic matching, fuzzy deduplication, ranking, and clustering, making it a good option for NLP-lite tasks and exploratory analysis.

Academic writer for SCI papers on lung nodule procedures.

Helps user create professional grade Technical Reviews & Comparisons

Prompt to create documents, such as design docs, reports, proposals, resumes, and more. Export to PDF, DOCX, PPTX, XLSX, CSV.

Easily format and optimize your documents, create NLRAG (Natural Language Retrieval Augmented Generation) indexes and more!

Guides the organization in creating comprehensive project closure documents.

An Assistant That Helps With Quarto https://quarto.org

Expert in English to Chinese translations of environmental content.

Expert in detailed software documentation writing

📝 Multifaceted Document Transformation Expert

Master of TikZ diagrams and LaTeX presentations

入力した文章をMarkdown形式にコードとして正しく変換してくれます。文章を入力するだけでOKです！更に、読み手が読みやすいようにレイアウトも考えてくれます！途中で止まっても「続けてください」といえば大丈夫です。

Formal-tone expert on Google Gemini, using document-based info.

I'm an expert in professional writing, from sci papers to novels, with a touch of emoji joy! 😊

Efficient Project Notes Specialist

对软件的功能点进行细化

Markdown格式内容助手

This GPT will help any business developer write their own technical Statement of Work.

Expert in developer marketing and writing for engineers.

Enter a product name in ExplodeView to get a three-stage visual transition from intact to fully exploded views.

Informative guide on different types of cards