Best AI tools for< Optimize Documents >

Procys is a document processing platform powered by AI that offers solutions for various document-related tasks. It features a self-learning engine for efficient document processing, seamless integration with over 260 apps, OCR API powered by AI for optical character recognition, customized data extraction capabilities, and AI autosplit for automatic document splitting. Procys caters to different use cases such as invoice OCR, ID card OCR, receipt OCR, and account payable automation. The platform ensures data security as a top priority and provides enterprise-grade security and compliance solutions.

Law.co is an advanced AI platform designed specifically for lawyers and law firms to streamline legal operations and enhance efficiency. The platform offers a semantic database search with access to over 1 million historical legal cases and 40,000 legal contracts, enabling users to perform detailed legal research, contract drafting, document review, and more. Law.co leverages custom-trained artificial intelligence and semantic search tools to deliver measurable results, revolutionizing legal research and document preparation processes for legal professionals.

useResume is a free AI resume and cover letter builder that leverages state-of-the-art AI technology to help users create tailored resumes and cover letters for job applications in seconds. The platform offers optimized resumes, beautiful templates, version control, interview preparation, and industry-specific content to enhance job application success.

Bitrix24 is an all-in-one online workspace for businesses, offering tools for CRM, tasks, online meetings, and more. It provides features such as sales management, team collaboration, task and project management, online document storage, website creation, online store setup, HR and automation tools, and AI-powered assistance through CoPilot. Bitrix24 aims to streamline business operations and enhance team productivity by centralizing various business functions in one platform.

Centari is a platform for deal intelligence that leverages generative AI to transform complex documents into powerful insights. It helps users unlock more dealflow, enrich marketing materials, visualize market trends, and streamline the deal validation process. With Centari, users can extract deal sheets automatically, validate data intuitively, and navigate their entire deal history with a first-of-its-kind deal navigation platform. The platform is designed to enhance competitive knowledge and optimize deal-making strategies for law firms and legal professionals.

The website is currently displaying a '403 Forbidden' error message, which indicates that the server understood the request but refuses to authorize it. This error is often caused by insufficient permissions or misconfiguration on the server side. The 'openresty' mentioned in the message is a web platform based on NGINX and LuaJIT, known for its high performance and scalability in handling web traffic. The website may be using OpenResty as its server software.

Envistudios offers AI-powered solutions for business excellence through their innovative SaaS products 'Documente' and 'Infomente'. These platforms leverage artificial intelligence, natural language processing, and machine learning to provide intelligent document processing and generative business intelligence. Envistudios aims to empower businesses by unlocking insights from data, facilitating data-driven decision-making, and optimizing workflows.

Kimiya is an AI Conversational Digital Human application designed to provide better customer support through a generative AI conversational assistant. It offers features such as selecting diverse avatars, 24/7 support, real-time analytics, interactive communication with users, and personalized recommendations for E-Commerce, Hotel, and Museum industries. Kimiya is adaptable to diverse organizational needs and aims to enhance customer experiences through AI-powered assistance.

AmyGB Platform Services offers Gen AI-powered Document Processing and API Services to supercharge productivity for businesses. Their trendsetting digital products have revolutionized how organizations handle data and streamline workflows, enabling businesses to easily optimize operations 24x7, enhance data accuracy, and improve customer satisfaction. The platform empowers business operations by driving automation revolution, providing 8x productivity, 70% cost efficiency, 80% higher accuracy, and 95% automation. AmyGB's AI-powered document processing solutions help convert documents into digital assets, extract data, and enhance customer fulfillment through automated software solutions.

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.

Responsive.ai is a foundational software designed for financial advice, aimed at maximizing advisor productivity through workflow automation, client engagement tools, and AI-powered insights. The platform offers solutions like Prioritize for enhancing relationships and revenue growth, Enable for managing documents and integrations, and Dash for creating seamless digital experiences. Responsive empowers advisors with an API-first ecosystem to deliver advice-led financial services and elevate enterprise value.

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.

Novo AI is an AI application that empowers financial institutions by leveraging Generative AI and Large Language Models to streamline operations, maximize insights, and automate processes like claims processing and customer support traditionally handled by humans. The application helps insurance companies understand claim documents, automate claims processing, optimize pricing strategies, and improve customer satisfaction. For banks, Novo AI automates document processing across multiple languages and simplifies adverse media screenings through efficient research on live internet data.

AI Writer is a free text editor tool that incorporates AI features to assist users in writing and editing content. The tool provides functionalities similar to Notion, allowing users to create and manage text-based documents efficiently. With AI Writer, users can benefit from advanced AI capabilities to enhance their writing experience, improve productivity, and generate high-quality content. The tool is designed to cater to a wide range of users, including writers, bloggers, students, and professionals, by offering intuitive features and a user-friendly interface.

vLex is a legal intelligence platform that offers innovative technology and comprehensive content to empower legal professionals. With over 30 years of experience, vLex provides cutting-edge AI legal solutions designed to streamline workflows, enhance access to legal knowledge, and drive success. The platform integrates advanced technology with extensive legal databases to deliver unparalleled legal intelligence and resources. Vincent AI, a key feature of vLex, leverages generative AI to automate tasks such as workflow optimization, drafting, research, and comparative legal analysis across multiple jurisdictions.

EchoTalent is an AI-powered platform that helps users create ATS-optimized, tailored resumes and cover letters. By uploading their resume and job description, users can generate personalized documents in minutes. The platform uses advanced algorithms to match the job requirements, highlighting relevant keywords, skills, and experiences. EchoTalent is designed to enhance job application processes for mid to senior-level professionals, ensuring their resumes are ATS-friendly and easily readable. With a free trial available, users can explore the features before committing to a subscription.

Patlytics is the premier AI-powered patent platform that serves as a trusted partner in patent creation, protection, enforcement, and defense. It offers comprehensive discovery and analytics, cutting-edge infringement monitoring detection, AI patent drafting assistance, office action response optimization, whitespace detection, patent inventory harvesting, and more. The platform combines market-leading technology with deep industry expertise to provide unmatched quality and innovative solutions for patent professionals.

iWeaver is an AI-powered knowledge management tool that offers features such as mind mapping, summarization, content generation, and personalized knowledge organization. It helps users save, organize, and apply scattered knowledge in one place, streamlining the process for content reading, watching, listening, and analyzing. iWeaver leverages AI to provide comprehensive research, insights, and summaries tailored to specific needs, making it a valuable tool for students, researchers, writers, and professionals.

Chapple is an AI-powered platform revolutionizing creativity and efficiency by offering a wide range of tools for content generation, including text, images, code, and more. It provides users with templates, chatbots, and customization options to streamline the content creation process. With a focus on user-friendly interfaces and powerful features, Chapple aims to make AI tools accessible and versatile for various applications. The platform is designed to help users save time, enhance productivity, and produce engaging and effective content across different industries.

M-Hub.ai is a central AI tool for international skilled worker recruitment for companies and agencies. It simplifies the recognition process for foreign professionals, facilitates the start of a career in Europe, and supports agencies in efficient recruitment. The platform offers features like automated recognition processes, centralized document management, optimized candidate management, and streamlined application submission. It aims to address the critical shortage of qualified professionals in various industries in Europe by reducing bureaucratic hurdles and improving transparency in the recruitment process.

This repository documents how to optimize common algorithms based on CUDA. It includes subdirectories with code implementations for specific optimizations. The optimizations cover topics such as compiling PyTorch from source, NVIDIA's reduce optimization, OneFlow's elementwise template, fast atomic add for half data types, upsample nearest2d optimization in OneFlow, optimized indexing in PyTorch, OneFlow's softmax kernel, linear attention optimization, and more. The repository also includes learning resources related to deep learning frameworks, compilers, and optimization techniques.

Writing Tools is an Apple Intelligence-inspired application for Windows, Linux, and macOS that supercharges your writing with an AI LLM. It allows users to instantly proofread, optimize text, and summarize content from webpages, YouTube videos, documents, etc. The tool is privacy-focused, open-source, and supports multiple languages. It offers powerful features like grammar correction, content summarization, and LLM chat mode, making it a versatile writing assistant for various tasks.

DB-GPT is a personal database administrator that can solve database problems by reading documents, using various tools, and writing analysis reports. It is currently undergoing an upgrade. **Features:** * **Online Demo:** * Import documents into the knowledge base * Utilize the knowledge base for well-founded Q&A and diagnosis analysis of abnormal alarms * Send feedbacks to refine the intermediate diagnosis results * Edit the diagnosis result * Browse all historical diagnosis results, used metrics, and detailed diagnosis processes * **Language Support:** * English (default) * Chinese (add "language: zh" in config.yaml) * **New Frontend:** * Knowledgebase + Chat Q&A + Diagnosis + Report Replay * **Extreme Speed Version for localized llms:** * 4-bit quantized LLM (reducing inference time by 1/3) * vllm for fast inference (qwen) * Tiny LLM * **Multi-path extraction of document knowledge:** * Vector database (ChromaDB) * RESTful Search Engine (Elasticsearch) * **Expert prompt generation using document knowledge** * **Upgrade the LLM-based diagnosis mechanism:** * Task Dispatching -> Concurrent Diagnosis -> Cross Review -> Report Generation * Synchronous Concurrency Mechanism during LLM inference * **Support monitoring and optimization tools in multiple levels:** * Monitoring metrics (Prometheus) * Flame graph in code level * Diagnosis knowledge retrieval (dbmind) * Logical query transformations (Calcite) * Index optimization algorithms (for PostgreSQL) * Physical operator hints (for PostgreSQL) * Backup and Point-in-time Recovery (Pigsty) * **Continuously updated papers and experimental reports** This project is constantly evolving with new features. Don't forget to star ⭐ and watch 👀 to stay up to date.

Welcome to the comprehensive collection of advanced + agentic Retrieval-Augmented Generation (RAG) techniques. This repository covers the most effective advanced + agentic RAG techniques with clear implementations and explanations. It aims to provide a helpful resource for researchers and developers looking to use advanced RAG techniques in their projects, offering ready-to-use implementations and guidance on evaluation methods. The RAG framework addresses limitations of Large Language Models by using external documents for in-context learning, ensuring contextually relevant and accurate responses. The repository includes detailed descriptions of various RAG techniques, tools used, and implementation guidance for each technique.

Indexify is an open-source engine for building fast data pipelines for unstructured data (video, audio, images, and documents) using reusable extractors for embedding, transformation, and feature extraction. LLM Applications can query transformed content friendly to LLMs by semantic search and SQL queries. Indexify keeps vector databases and structured databases (PostgreSQL) updated by automatically invoking the pipelines as new data is ingested into the system from external data sources. **Why use Indexify** * Makes Unstructured Data **Queryable** with **SQL** and **Semantic Search** * **Real-Time** Extraction Engine to keep indexes **automatically** updated as new data is ingested. * Create **Extraction Graph** to describe **data transformation** and extraction of **embedding** and **structured extraction**. * **Incremental Extraction** and **Selective Deletion** when content is deleted or updated. * **Extractor SDK** allows adding new extraction capabilities, and many readily available extractors for **PDF**, **Image**, and **Video** indexing and extraction. * Works with **any LLM Framework** including **Langchain**, **DSPy**, etc. * Runs on your laptop during **prototyping** and also scales to **1000s of machines** on the cloud. * Works with many **Blob Stores**, **Vector Stores**, and **Structured Databases** * We have even **Open Sourced Automation** to deploy to Kubernetes in production.

Examor is a website application that allows you to take exams based on your knowledge notes. It helps you to remember what you have learned and written. The application generates a set of questions from the documents you upload, and you can answer them to test your knowledge. Examor also uses GPT to score and validate your answers, and provides you with feedback. The application is still in its early stages of development, but it has the potential to be a valuable tool for learners.

LazyLLM is a low-code development tool for building complex AI applications with multiple agents. It assists developers in building AI applications at a low cost and continuously optimizing their performance. The tool provides a convenient workflow for application development and offers standard processes and tools for various stages of application development. Users can quickly prototype applications with LazyLLM, analyze bad cases with scenario task data, and iteratively optimize key components to enhance the overall application performance. LazyLLM aims to simplify the AI application development process and provide flexibility for both beginners and experts to create high-quality applications.

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.

Towhee is a cutting-edge framework designed to streamline the processing of unstructured data through the use of Large Language Model (LLM) based pipeline orchestration. It can extract insights from diverse data types like text, images, audio, and video files using generative AI and deep learning models. Towhee offers rich operators, prebuilt ETL pipelines, and a high-performance backend for efficient data processing. With a Pythonic API, users can build custom data processing pipelines easily. Towhee is suitable for tasks like sentence embedding, image embedding, video deduplication, question answering with documents, and cross-modal retrieval based on CLIP.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

Ax is a Typescript library that allows users to build intelligent agents inspired by agentic workflows and the Stanford DSP paper. It seamlessly integrates with multiple Large Language Models (LLMs) and VectorDBs to create RAG pipelines or collaborative agents capable of solving complex problems. The library offers advanced features such as streaming validation, multi-modal DSP, and automatic prompt tuning using optimizers. Users can easily convert documents of any format to text, perform smart chunking, embedding, and querying, and ensure output validation while streaming. Ax is production-ready, written in Typescript, and has zero dependencies.

AutoRAG is an AutoML tool designed to automatically find the optimal RAG pipeline for your data. It simplifies the process of evaluating various RAG modules to identify the best pipeline for your specific use-case. The tool supports easy evaluation of different module combinations, making it efficient to find the most suitable RAG pipeline for your needs. AutoRAG also offers a cloud beta version to assist users in running and optimizing the tool, along with building RAG evaluation datasets for a starting price of $9.99 per optimization.

RAG Me Up is a generic framework that enables users to perform Retrieve, Answer, Generate (RAG) on their own dataset easily. It consists of a small server and UIs for communication. The tool can run on CPU but is optimized for GPUs with at least 16GB of vRAM. Users can combine RAG with fine-tuning using the LLaMa2Lang repository. The tool provides a configurable RAG pipeline without the need for coding, utilizing indexing and inference steps to accurately answer user queries.

The UltraRAG framework is a researcher and developer-friendly RAG system solution that simplifies the process from data construction to model fine-tuning in domain adaptation. It introduces an automated knowledge adaptation technology system, supporting no-code programming, one-click synthesis and fine-tuning, multidimensional evaluation, and research-friendly exploration work integration. The architecture consists of Frontend, Service, and Backend components, offering flexibility in customization and optimization. Performance evaluation in the legal field shows improved results compared to VanillaRAG, with specific metrics provided. The repository is licensed under Apache-2.0 and encourages citation for support.

GhostOS is an AI Agent framework designed to replace JSON Schema with a Turing-complete code interaction interface (Moss Protocol). It aims to create intelligent entities capable of continuous learning and growth through code generation and project management. The framework supports various capabilities such as turning Python files into web agents, real-time voice conversation, body movements control, and emotion expression. GhostOS is still in early experimental development and focuses on out-of-the-box capabilities for AI agents.

The Lakera PINT Benchmark provides a neutral evaluation method for prompt injection detection systems, offering a dataset of English inputs with prompt injections, jailbreaks, benign inputs, user-agent chats, and public document excerpts. The dataset is designed to be challenging and representative, with plans for future enhancements. The benchmark aims to be unbiased and accurate, welcoming contributions to improve prompt injection detection. Users can evaluate prompt injection detection systems using the provided Jupyter Notebook. The dataset structure is specified in YAML format, allowing users to prepare their datasets for benchmarking. Evaluation examples and resources are provided to assist users in evaluating prompt injection detection models and tools.

LLM4Opt is a collection of references and papers focusing on applying Large Language Models (LLMs) for diverse optimization tasks. The repository includes research papers, tutorials, workshops, competitions, and related collections related to LLMs in optimization. It covers a wide range of topics such as algorithm search, code generation, machine learning, science, industry, and more. The goal is to provide a comprehensive resource for researchers and practitioners interested in leveraging LLMs for optimization tasks.

This repository is a collection of various open source AI projects and topics, each focusing on specific areas such as language models, security, and deepfake technology. It includes projects like privateGPT for building a private version of the GPT language model, AutoGPT for automating training GPT models, and DeepFaceLab for deepfake creation. Explore these repositories to find projects that interest you.

Kollektiv is a Retrieval-Augmented Generation (RAG) system designed to enable users to chat with their favorite documentation easily. It aims to provide LLMs with access to the most up-to-date knowledge, reducing inaccuracies and improving productivity. The system utilizes intelligent web crawling, advanced document processing, vector search, multi-query expansion, smart re-ranking, AI-powered responses, and dynamic system prompts. The technical stack includes Python/FastAPI for backend, Supabase, ChromaDB, and Redis for storage, OpenAI and Anthropic Claude 3.5 Sonnet for AI/ML, and Chainlit for UI. Kollektiv is licensed under a modified version of the Apache License 2.0, allowing free use for non-commercial purposes.

ClearML is a suite of tools designed to streamline the machine learning workflow. It includes an experiment manager, MLOps/LLMOps, data management, and model serving capabilities. ClearML is open-source and offers a free tier hosting option. It supports various ML/DL frameworks and integrates with Jupyter Notebook and PyCharm. ClearML provides extensive logging capabilities, including source control info, execution environment, hyper-parameters, and experiment outputs. It also offers automation features, such as remote job execution and pipeline creation. ClearML is designed to be easy to integrate, requiring only two lines of code to add to existing scripts. It aims to improve collaboration, visibility, and data transparency within ML teams.

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

Advanced File Conversion and Optimization Expert (Version 2.0)

An Operations Department Assistant aids the operations team by handling administrative tasks, process documentation, and data analysis, helping to streamline and optimize various operational processes within an organization.

Expert in Android development, using Java, Kotlin, jetpack, and Compose. Offers detailed answers from specific documents.

Import Export Compliance | Tariff Classification | Shipping Queries | Logistics & Supply Chain Solutions

compress files with gpt

Optimizes business tasks using ChatGPT.

Developer with the latest MQL5 documentation. Assists in making Expert Advisors for trading, Debugging, etc.

Expert in CanSat guidance based on a specific document

Expert on Siemens Active Workspace and Rich Application Client, guiding based on specific documentation.

Guides businesses in managing global tax liabilities efficiently.

I help developers understand and use APIs, referencing a YAML model.

I create and explain ARIS diagrams.

Jeecg-Boot 开源框架使用专家，精通官方文档

Professional Resume & CV Assistant 📝 Optimize for ATS 🤖 Tailor to Job Descriptions 🎯 Compelling Content ✨ Interview Tips 💡

A friendly AI that helps artists optimize their artwork listings for SEO.

Optimize your ecommerce store for SEO with tailored SEO strategies.

I help you optimize your hotel's OTA distribution Mix

Optimize a YouTube script based on the top viral videos

I'll help you optimize your website for more conversions, and compare your site's CRO potential to competitors’.