Best AI tools for< Analyze File >

AdaraChatbot is a platform that allows users to build their own chatbot using OpenAI Assistant API. It offers seamless integration for effortlessly incorporating a chatbot into websites. Users can test the chatbot assistant, ask questions, and receive responses powered by OpenAI Assistant API. AdaraChatbot provides features such as building chatbots with OpenAI's assistant, easy integration with websites, user inquiry with lead collection, real-time analytics, file attachments, and compatibility with popular website platforms. The application offers different pricing plans suitable for personal projects, organizations, and tailored solutions for large-scale operations.

Flowith is an AI productivity tool powered by GPT-4. It features a unique node-based interaction that allows for a more fluid and collaborative experience with AI. With Flowith, you can access advanced AI models, upload and analyze files, and create and share custom AI agents. It is designed to enhance productivity and simplify tasks across various domains, including writing, research, coding, and more.

CSV-GPT is an AI tool that allows users to analyze CSV files instantly using the powerful GPT4 model. It provides a user-friendly interface for a wide range of data analysis tasks, from calculating averages to finding correlations. The tool is designed to streamline the data analysis process and provide accurate insights quickly and efficiently. With CSV-GPT, users can make informed decisions based on data-driven analysis without the need for complex coding or manual calculations.

CompFox is an AI-enhanced legal research tool designed for workers' compensation professionals in California. It streamlines legal research by providing access to a comprehensive database of workers' compensation case law and statutory codes. With features like AI-driven search, chat for case-specific analysis, intelligent case file analysis, collaborative research folders, and one-stop statutory code search, CompFox helps attorneys and insurance adjusters save time, reduce stress, and improve case outcomes.

EvenUp is a Claims Intelligence Platform that leverages AI technology to transform medical documents and case files into AI-driven demand packages for personal injury lawyers. The platform provides rich insights, AI workflow automation, and best-in-class document creation to help injury lawyers claim bigger and settle faster. EvenUp's team of injury experts use AI to craft demand packages, freeing up time for case managers and attorneys to focus on case strategy. The platform is designed to consistently settle for more, resolve cases faster, and save time for legal professionals. EvenUp is SOC2 certified, ensuring top-tier security standards and client privacy.

PrepSup is an AI-powered platform that offers a combination of powerful flashcards, AI tutoring, and PDF analysis tools. It provides a comprehensive solution for students and professionals to enhance their learning experience, improve retention, and analyze PDF documents efficiently. With PrepSup, users can create interactive flashcards, receive personalized tutoring based on AI algorithms, and analyze PDF files for key information. The platform aims to streamline the learning process and make studying more effective and engaging.

Julius is an AI-powered tool that helps users analyze data and files. It can perform various tasks such as generating visualizations, answering data questions, and performing statistical modeling. Julius is designed to save users time and effort by automating complex data analysis tasks.

AskCSV is a revolutionary AI-powered tool that empowers you to unlock valuable insights from your CSV files. Simply ask any question about your data, and AskCSV will provide you with instant, accurate answers and visualizations. Your data remains completely secure, processed directly in your browser's memory without any server uploads. With AskCSV, you can effortlessly analyze your data, identify trends, make informed decisions, and gain a deeper understanding of your business.

File Transcribe is an AI-powered application that offers accurate and effortless transcription of audio and video files. The platform utilizes advanced AI technology, including features like diarization, summaries, speaker identification, and more, to simplify the transcription process. With File Transcribe, users can easily convert spoken words into written text, save time, and work more efficiently. The application provides comprehensive transcription solutions, customizable settings, and expert assistance to ensure a smooth transcription experience for individuals and businesses.

GenIQ is an AI-powered application that allows users to interact with files through natural language. It generates concise summaries of lengthy documents using Generative AI technology. Users can work with various file types such as audio, video, PDF, and Word documents by asking questions in natural language and receiving real-time answers. GenIQ offers features like audio & video analysis, document processing, multilingual support, and handwritten document analysis.

SONOTELLER.AI is an AI song analyzer that analyzes song lyrics and music to provide a comprehensive summary about the song. It can identify musical attributes such as genres, subgenres, moods, instruments, BPM, and key. The tool is designed to simplify the way music lovers understand and organize their music collections, making it easier to discover and manage music across various platforms. SONOTELLER.AI is in beta phase, offering features like lyric analysis, music analysis, and automatic tagging to enhance music discovery and distribution.

Mixpeek is a flexible vision understanding infrastructure that allows developers to analyze, search, and understand video and image content. It provides various methods such as scene embedding, face detection, audio transcription, text reading, and activity description. Mixpeek offers integration with data sources, indexing capabilities, and analysis of structured data for building AI-powered applications. The platform enables real-time synchronization, extraction, embedding, fine-tuning, and scaling of models for specific use cases. Mixpeek is designed to be seamlessly integrated into existing stacks, offering a range of integrations and easy-to-use API for developers.

ChatInDoc is an AI-powered tool designed to revolutionize the way people interact with and comprehend lengthy documents. By leveraging cutting-edge AI technology, ChatInDoc offers users the ability to efficiently analyze, summarize, and extract key information from various file formats such as PDFs, Office documents, and text files. With features like IR analysis, term lookup, PDF viewing, and AI-powered chat capabilities, ChatInDoc aims to streamline the process of digesting complex information and enhance productivity. The application's user-friendly interface and advanced AI algorithms make it a valuable tool for students, professionals, and anyone dealing with extensive document reading tasks.

xPDF AI by PDFChat is a personal AI assistant designed for PDF files. It offers advanced features to analyze tables, figures, and text from PDF documents, providing users with instant answers and insights. The AI assistant uses a chat interface for effortless interaction and is capable of summarizing PDF files, retrieving relevant figures, processing tables intelligently, and performing accurate calculations. Users can also benefit from voice chat, advanced search tools, performance analytics, report generation, and document assistance. With over 10,000 users trusting the platform, PDFChat aims to revolutionize document analysis and enhance productivity.

CommandAI is a powerful command line utility tool that leverages the capabilities of artificial intelligence to enhance user experience and productivity. It allows users to interact with the command line interface using natural language commands, making it easier for both beginners and experienced users to perform complex tasks efficiently. With CommandAI, users can streamline their workflow, automate repetitive tasks, and access advanced features through simple text-based interactions. The tool is designed to simplify the command line experience and provide intelligent assistance to users in executing commands and managing their system effectively.

Vectorizer.AI is an online tool that allows users to convert PNG and JPG images to SVG vectors quickly and easily using artificial intelligence. The application utilizes deep learning networks and classical algorithms to analyze, process, and convert images from pixels to geometric shapes. It offers a full-featured deep vector engine, proprietary computational geometry framework, and advanced shape fitting capabilities to produce high-quality vector images. Vectorizer.AI supports various curve types, clean corners, symmetry modeling, adaptive simplification, palette control, sub-pixel precision, and full color & transparency. The tool is fully automatic, supports multiple image types, and provides export choices in SVG, PDF, EPS, DXF, and PNG formats.

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.

Wizdom.ai is an AI-powered research intelligence platform that provides comprehensive insights into the global research ecosystem. It continuously monitors billions of data points to generate analytics about scientific developments, helping users make informed decisions and progress research further and faster. Wizdom.ai offers a range of features, including:

Tomat.AI is an AI-powered tool designed to help users open and explore large CSV files effortlessly. With features like automated data profiling, merging multiple files, and building reports, Tomat.AI simplifies the process of analyzing and automating Excel and CSV files without the need for coding skills. The tool ensures data security by operating entirely on the user's local machine, offering a user-friendly interface for seamless data manipulation and analysis.

WhyHive is an AI-powered data analysis tool that helps users find and code key themes in their data, then visualize their findings with beautiful, shareable charts. It is designed to be easy to use, even for those with no prior experience with data analysis. WhyHive can analyze thousands of rows of data in minutes, saving users hours of manual coding time. It can also be used to analyze both quantitative and qualitative data, making it a versatile tool for a variety of research projects.

GenAIScript is a scripting environment designed to facilitate file ingestion, prompt development, and structured data extraction. Users can define metadata and model configurations, specify data sources, and define tasks to extract specific information. The tool provides a convenient way to analyze files and extract desired content in a structured format. It offers a user-friendly interface for working with data and automating data extraction processes, making it suitable for various data processing tasks.

Parrot.nvim is a Neovim plugin that prioritizes a seamless out-of-the-box experience for text generation. It simplifies functionality and focuses solely on text generation, excluding integration of DALLE and Whisper. It supports persistent conversations as markdown files, custom hooks for inline text editing, multiple providers like Anthropic API, perplexity.ai API, OpenAI API, Mistral API, and local/offline serving via ollama. It allows custom agent definitions, flexible API credential support, and repository-specific instructions with a `.parrot.md` file. It does not have autocompletion or hidden requests in the background to analyze files.

FreeGenius AI is an ambitious project offering a comprehensive suite of AI solutions that mirror the capabilities of LetMeDoIt AI. It is designed to engage in intuitive conversations, execute codes, provide up-to-date information, and perform various tasks. The tool is free, customizable, and provides access to real-time data and device information. It aims to support offline and online backends, open-source large language models, and optional API keys. Users can use FreeGenius AI for tasks like generating tweets, analyzing audio, searching financial data, checking weather, and creating maps.

ToolMate AI is an advanced AI companion that integrates agents, tools, and plugins to excel in conversations, generative work, and task execution. It supports multi-step actions, allowing users to customize workflows for tackling complex projects with ease. The tool offers a wide range of AI backends and models, including Ollama, Llama.cpp, Groq Cloud API, OpenAI API, and Google Gemini via Vertex AI. Users can easily switch between backends and leverage AI models like wizardlm2 and mixtral. ToolMate AI stands out for its distinctive features such as tool calling for any LLMs, running multiple tools in one go, highly customizable plugins, and integration with popular AI tools. It also supports quick tool calling using '@' notation and enables the execution of computing tasks on demand. With features like multiple tools in one go, customizable plugins, system command and fabric integration, GPU offloading support, real-time data access, and device information retrieval, ToolMate AI offers a comprehensive solution for various tasks and content creation.

LetMeDoIt AI is a virtual assistant designed to revolutionize the way you work. It goes beyond being a mere chatbot by offering a unique and powerful capability - the ability to execute commands and perform computing tasks on your behalf. With LetMeDoIt AI, you can access OpenAI ChatGPT-4, Google Gemini Pro, and Microsoft AutoGen, local LLMs, all in one place, to enhance your productivity.

GGUF tools is a library designed to manipulate GGUF files commonly used in machine learning projects. The main goal of this library is to provide accessible code that documents GGUF files for the llama.cpp project. The utility implements subcommands to show detailed info about GGUF files, compare two LLMs, inspect tensor weights, and extract models from Mixtral 7B MoE. The library is under active development with well-commented code and a simple API. However, it has limitations in handling quantization formats.

Slips is a powerful endpoint behavioral intrusion prevention and detection system that uses machine learning to detect malicious behaviors in network traffic. It can work with network traffic in real-time, PCAP files, and network flows from tools like Suricata, Zeek/Bro, and Argus. Slips threat detection is based on machine learning models, threat intelligence feeds, and expert heuristics. It gathers evidence of malicious behavior and triggers alerts when enough evidence is accumulated. The tool is Python-based and supported on Linux and MacOS, with blocking features only on Linux. Slips relies on Zeek network analysis framework and Redis for interprocess communication. It offers a graphical user interface for easy monitoring and analysis.

LLM Vision is a Home Assistant integration that allows users to analyze images, videos, and camera feeds using multimodal LLMs. It supports providers such as OpenAI, Anthropic, Google Gemini, LocalAI, and Ollama. Users can input images and videos from camera entities or local files, with the option to downscale images for faster processing. The tool provides detailed instructions on setting up LLM Vision and each supported provider, along with usage examples and service call parameters.

The Google Cloud Document AI Samples repository contains code samples and Community Samples demonstrating how to analyze, classify, and search documents using Google Cloud Document AI. It includes various projects showcasing different functionalities such as integrating with Google Drive, processing documents using Python, content moderation with Dialogflow CX, fraud detection, language extraction, paper summarization, tax processing pipeline, and more. The repository also provides access to test document files stored in a publicly-accessible Google Cloud Storage Bucket. Additionally, there are codelabs available for optical character recognition (OCR), form parsing, specialized processors, and managing Document AI processors. Community samples, like the PDF Annotator Sample, are also included. Contributions are welcome, and users can seek help or report issues through the repository's issues page. Please note that this repository is not an officially supported Google product and is intended for demonstrative purposes only.

The Local File Organizer is an AI-powered tool designed to help users organize their digital files efficiently and securely on their local device. By leveraging advanced AI models for text and visual content analysis, the tool automatically scans and categorizes files, generates relevant descriptions and filenames, and organizes them into a new directory structure. All AI processing occurs locally using the Nexa SDK, ensuring privacy and security. With support for multiple file types and customizable prompts, this tool aims to simplify file management and bring order to users' digital lives.

AI for Science paper collection is an initiative by AI for Science Community to collect and categorize papers in AI for Science areas by subjects, years, venues, and keywords. The repository contains `.csv` files with paper lists labeled by keys such as `Title`, `Conference`, `Type`, `Application`, `MLTech`, `OpenReviewLink`. It covers top conferences like ICML, NeurIPS, and ICLR. Volunteers can contribute by updating existing `.csv` files or adding new ones for uncovered conferences/years. The initiative aims to track the increasing trend of AI for Science papers and analyze trends in different applications.

The Looker GenAI Extension provides code examples and resources for building a Looker Extension that integrates with Vertex AI Large Language Models (LLMs). Users can leverage the power of LLMs to enhance data exploration and analysis within Looker. The extension offers generative explore functionality to ask natural language questions about data and generative insights on dashboards to analyze data by asking questions. It leverages components like BQML Remote Models, BQML Remote UDF with Vertex AI, and Custom Fine Tune Model for different integration options. Deployment involves setting up infrastructure with Terraform and deploying the Looker Extension by creating a Looker project, copying extension files, configuring BigQuery connection, connecting to Git, and testing the extension. Users can save example prompts and configure user settings for the extension. Development of the Looker Extension environment includes installing dependencies, starting the development server, and building for production.

Wechat AI Assistant is a project that enables multi-modal interaction with ChatGPT AI assistant within WeChat. It allows users to engage in conversations, role-playing, respond to voice messages, analyze images and videos, summarize articles and web links, and search the internet. The project utilizes the WeChatFerry library to control the Windows PC desktop WeChat client and leverages the OpenAI Assistant API for intelligent multi-modal message processing. Users can interact with ChatGPT AI in WeChat through text or voice, access various tools like bing_search, browse_link, image_to_text, text_to_image, text_to_speech, video_analysis, and more. The AI autonomously determines which code interpreter and external tools to use to complete tasks. Future developments include file uploads for AI to reference content, integration with other APIs, and login support for enterprise WeChat and WeChat official accounts.

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.

Yet Another Chatbot is a sophisticated multimodal chat interface powered by advanced AI models and equipped with a variety of tools. This chatbot can search and browse the web in real-time, query Wikipedia for information, perform news and map searches, execute Python code, compose long-form articles mixing text and images, generate, search, and compare images, analyze documents and images, search and download arXiv papers, save conversations as text and audio files, manage checklists, and track personal improvements. It offers tools for web interaction, Wikipedia search, Python scripting, content management, image handling, arXiv integration, conversation generation, file management, personal improvement, and checklist management.

**RVC_CLI: Retrieval-based Voice Conversion Command Line Interface** This command-line interface (CLI) provides a comprehensive set of tools for voice conversion, enabling you to modify the pitch, timbre, and other characteristics of audio recordings. It leverages advanced machine learning models to achieve realistic and high-quality voice conversions. **Key Features:** * **Inference:** Convert the pitch and timbre of audio in real-time or process audio files in batch mode. * **TTS Inference:** Synthesize speech from text using a variety of voices and apply voice conversion techniques. * **Training:** Train custom voice conversion models to meet specific requirements. * **Model Management:** Extract, blend, and analyze models to fine-tune and optimize performance. * **Audio Analysis:** Inspect audio files to gain insights into their characteristics. * **API:** Integrate the CLI's functionality into your own applications or workflows. **Applications:** The RVC_CLI finds applications in various domains, including: * **Music Production:** Create unique vocal effects, harmonies, and backing vocals. * **Voiceovers:** Generate voiceovers with different accents, emotions, and styles. * **Audio Editing:** Enhance or modify audio recordings for podcasts, audiobooks, and other content. * **Research and Development:** Explore and advance the field of voice conversion technology. **For Jobs:** * Audio Engineer * Music Producer * Voiceover Artist * Audio Editor * Machine Learning Engineer **AI Keywords:** * Voice Conversion * Pitch Shifting * Timbre Modification * Machine Learning * Audio Processing **For Tasks:** * Convert Pitch * Change Timbre * Synthesize Speech * Train Model * Analyze Audio

Weeablind is a program that uses modern AI speech synthesis, diarization, language identification, and voice cloning to dub multi-lingual media and anime. It aims to create a pleasant alternative for folks facing accessibility hurdles such as blindness, dyslexia, learning disabilities, or simply those that don't enjoy reading subtitles. The program relies on state-of-the-art technologies such as ffmpeg, pydub, Coqui TTS, speechbrain, and pyannote.audio to analyze and synthesize speech that stays in-line with the source video file. Users have the option of dubbing every subtitle in the video, setting the start and end times, dubbing only foreign-language content, or full-blown multi-speaker dubbing with speaking rate and volume matching.

This project is a tutorial on developing large model applications for novice developers. It aims to provide a comprehensive introduction to large model development, focusing on Alibaba Cloud servers and integrating personal knowledge assistant projects. The tutorial covers the following topics: 1. **Introduction to Large Models**: A simplified introduction for novice developers on what large models are, their characteristics, what LangChain is, and how to develop an LLM application. 2. **How to Call Large Model APIs**: This section introduces various methods for calling APIs of well-known domestic and foreign large model products, including calling native APIs, encapsulating them as LangChain LLMs, and encapsulating them as Fastapi calls. It also provides a unified encapsulation for various large model APIs, such as Baidu Wenxin, Xunfei Xinghuo, and Zh譜AI. 3. **Knowledge Base Construction**: Loading, processing, and vector database construction of different types of knowledge base documents. 4. **Building RAG Applications**: Integrating LLM into LangChain to build a retrieval question and answer chain, and deploying applications using Streamlit. 5. **Verification and Iteration**: How to implement verification and iteration in large model development, and common evaluation methods. The project consists of three main parts: 1. **Introduction to LLM Development**: A simplified version of V1 aims to help beginners get started with LLM development quickly and conveniently, understand the general process of LLM development, and build a simple demo. 2. **LLM Development Techniques**: More advanced LLM development techniques, including but not limited to: Prompt Engineering, processing of multiple types of source data, optimizing retrieval, recall ranking, Agent framework, etc. 3. **LLM Application Examples**: Introduce some successful open source cases, analyze the ideas, core concepts, and implementation frameworks of these application examples from the perspective of this course, and help beginners understand what kind of applications they can develop through LLM. Currently, the first part has been completed, and everyone is welcome to read and learn; the second and third parts are under creation. **Directory Structure Description**: requirements.txt: Installation dependencies in the official environment notebook: Notebook source code file docs: Markdown documentation file figures: Pictures data_base: Knowledge base source file used

Analize uploaded files and assists in tasks based on their content.

Patient threat intelligence expert skilled in binary file analysis and YARA rules.

For strategic knowledge distillation, upload the document you need to analyze and use !start. ENSURE the uploaded file shows DOCUMENT and NOT PDF. This workflow requires leveraging RAG to operate. Only a small amount of PDFs are supported, convert to txt or doc. For timeout, refresh & !continue

Urban Analyzer with consolidated files containing just UR information.

Fully-equipped .har file inspector with image extraction

This Open AI tool analyzes your financial data, budgets and cashflow and suggests areas of improvement and quick insights. Drop an XLS file here or copy/paste your financial data and get insights! (Your data remains private and creator of this ChatGPT has no access to it).

Analyzes and categorizes perfume data from Excel, or lists. Upload a file with your perfume names or just the names of your perfumes and this GPT will help you organize the information.

Ask: "What graphs can you create from MY pee times data file (.xlsx)?" Show to your Urologist.

I assist with gene data queries and enable file downloads.

Expert in data-to-file conversion for GPT Training - Knowledge Nexus now specializes in converting data to the most suitable file format for GPT Knowledge files

Clean and structure your raw data with automatic file output for your Custom GPT knowledge.

Expert in data extraction and context-driven analysis. Can read most filetypes including PDFS, XLSX, Word, TXT, CSV, EML, Etc.

I convert transcripts into detailed meeting notes with insights, summaries, and action items, plus a downloadable MS Word file.

Transforms user interview transcripts into a list of tasks [Asana compatible CSV file]. Send feedback to https://x.com/kireet_agrawal

Your personal AI accountant. Crunches all the numbers for you in a matter of seconds. The days of getting and accountant are long gone! Just type the numbers you need processing into the chat or insert a file, alongside your country of residence, to get your results

AquaAirAI is a specialized assistant that compares air and water quality across cities and regions, providing insightful reports and recommendations based on comprehensive environmental data analysis from Excel files.

I help you with all your sysadmin tasks, from setting up your server to scaling your already exsisting one. I can help you with understanding the long list of log files and give you solutions to the problems.

I provide detailed summaries, critiques, and inferences on articles, papers, transcripts, websites, and more. Just give me text, a URL, or file to digest.

Chat with any video or audio. High-quality search, summarization, insights, multi-language transcriptions, and more. We currently support Youtube and files uploaded on our website.

Excelファイルをアップロードして質問してくれ。スクショを貼り付けるのもOKだ。何でも答えるぜ？