Best AI tools for< Extract Instruments >

SplitSong.com is an AI tool that allows users to split songs into individual instrument tracks using Artificial Intelligence. Created by @markdoppler_, this tool enables users to upload songs or extract them from YouTube videos and separate them into specific tracks such as drums, instrumental, bass, and voice. With a user-friendly interface, SplitSong.com revolutionizes the way music enthusiasts interact with and manipulate audio tracks.

Music Demixer is a cutting-edge AI tool that allows users to separate songs, split stems, create instrumental breakdowns, remove vocals, extract instruments, and generate karaoke tracks. It is powered by the Demucs AI model, a winner of the Sony Music and Sound Demixing Challenges. The tool operates in the browser without cloud services, ensuring 100% privacy. Users can choose various parameters like components and quality to customize their demixing experience. Music Demixer is best experienced on a laptop or desktop and offers a free tier with limited demixes per week.

Gaudio Studio is an AI music separation tool designed for creators to unleash their creativity with ease. It allows users to extract background music, separate instruments, and remove vocals from any music content. Powered by GSEP (Gaudio source SEParation), a high-quality and easy-to-use AI stem separation model, Gaudio Studio offers a seamless experience for audio separation. Users can upload their songs in various formats, access the tool from desktop or mobile devices, and enjoy Studio Plans for advanced processing. Additionally, Gaudio Studio can be integrated with cloud APIs and On-device SDKs for business applications, offering a versatile solution for music professionals and enthusiasts.

Fadr is an AI music maker application that enhances creativity by providing tools for creating music using AI technology. Users can pick from a variety of tools like SynthGPT to create playable instruments with text, Remix to make remixes with Fadr AI, and Stems to extract vocals and instrument types. Fadr aims to amplify musical creativity by developing web apps and plugins that help users in making art and exploring new sounds.

Melody ML is an AI-powered music processing tool that allows users to separate music tracks using machine learning technology. Users can upload songs, and the tool uses AI algorithms to extract vocals, drums, bass, and other instruments into separate stems. Melody ML offers a user-friendly platform for music enthusiasts, producers, and artists to enhance their music production process.

Splitter.ai is an AI-driven audio processing platform developed by a Swedish research company. It offers advanced audio processing technologies, including stem separation/extraction, reverb removal, and direct YouTube splitting. The platform is designed to assist music producers, DJs, artists, forensics engineers, audio engineers, karaoke enthusiasts, police, scientists, and more in enhancing their audio processing tasks. Splitter.ai aims to provide high-quality services through AI-driven solutions to meet the diverse needs of its users.

LALAL.AI is a next-generation vocal remover and music source separation service that offers fast, easy, and precise stem extraction. It allows users to remove vocals, instrumental tracks, drums, bass, piano, electric guitar, acoustic guitar, and synthesizer tracks without compromising quality. The service leverages advanced AI technology to provide high-quality stem splitting based on cutting-edge algorithms. Users can also enjoy features like voice cleaning, voice changing, echo and reverb removal, and lead/back vocal splitting. LALAL.AI caters to both individual and business users, offering various pricing packages and enterprise solutions for seamless integration and cross-platform support.

MVSEP is an AI-powered application that specializes in music and voice separation. It offers users the ability to separate audio files into voice and music parts using advanced algorithms and models. Users can easily upload files through drag and drop or remote upload features. The application provides various separation types, HQ models, and output encoding options to cater to different user needs. MVSEP aims to enhance the audio editing experience by providing high-quality results and a user-friendly interface.

MakeBestMusic is an AI-powered music production suite that allows users to create unique music with just one click using advanced AI technology. The platform offers features such as creating instrumental and vocal music by providing simple descriptive words or lyrics, remixing music by uploading audio files and providing remix descriptions, and splitting music files to extract drums and vocals. MakeBestMusic provides a versatile approach to music creation, catering to both instrumental and vocal preferences with ease. Users can generate dynamic music, remix original audio files, and extract sounds from background music using the powerful AI music tool.

Browse AI is an AI tool that offers the easiest way to extract and monitor data from any website without the need for coding. Users can train a robot in just 2 minutes to extract specific data in spreadsheet format or monitor data on a schedule. With over 7,000 integrations, Browse AI allows users to scrape structured data, run multiple robots simultaneously, emulate user interactions, handle pagination, and more. Trusted by over 370,000 individuals and teams, Browse AI is a powerful tool for data extraction and monitoring tasks.

Parsio is an AI-powered document parser that can extract structured data from PDFs, emails, and other documents. It uses natural language processing to understand the context of the document and identify the relevant data points. Parsio can be used to automate a variety of tasks, such as extracting data from invoices, receipts, and emails.

FormX.ai is an AI-powered data extraction and conversion tool that automates the process of extracting data from physical documents and converting it into digital formats. It supports a wide range of document types, including invoices, receipts, purchase orders, bank statements, contracts, HR forms, shipping orders, loyalty member applications, annual reports, business certificates, personnel licenses, and more. FormX.ai's pre-configured data extraction models and effortless API integration make it easy for businesses to integrate data extraction into their existing systems and workflows. With FormX.ai, businesses can save time and money on manual data entry and improve the accuracy and efficiency of their data processing.

Insight7 is a powerful AI-powered tool that helps businesses extract insights from customer and employee interviews. It uses natural language processing and machine learning to analyze large volumes of unstructured data, such as transcripts, audio recordings, and videos. Insight7 can identify key themes, trends, and sentiment, which can then be used to improve products, services, and customer experiences.

Kadoa is an AI web scraper tool that extracts unstructured web data at scale automatically, without the need for coding. It offers a fast and easy way to integrate web data into applications, providing high accuracy, scalability, and automation in data extraction and transformation. Kadoa is trusted by various industries for real-time monitoring, lead generation, media monitoring, and more, offering zero setup or maintenance effort and smart navigation capabilities.

PodAI is an AI tool designed to extract answers from every podcast episode in seconds. It is a prototype currently being developed to enhance search results and fine-tune the LLM output. PodAI is not affiliated with the Huberman Lab Podcast and is solely for entertainment purposes, not for medical advice.

RIDO Protocol is a decentralized data protocol that allows users to extract value from their personal data in Web2 and Web3. It provides users with a variety of features, including programmable data generation, programmable access control, and cross-application data sharing. RIDO also has a data marketplace where users can list or offer their data information and ownership. Additionally, RIDO has a DataFi protocol which promotes the flowing of data information and value.

Tablize is a powerful data extraction tool that helps you turn unstructured data into structured, tabular format. With Tablize, you can easily extract data from PDFs, images, and websites, and export it to Excel, CSV, or JSON. Tablize uses artificial intelligence to automate the data extraction process, making it fast and easy to get the data you need.

Extractify.co is a website that offers a range of text extraction services. It allows users to extract text from various sources such as images, PDFs, and websites. The platform uses advanced algorithms to accurately extract and convert text into editable formats. Users can easily copy, edit, and save the extracted text for their needs. Extractify.co provides a user-friendly interface and supports multiple languages, making it a versatile tool for text extraction tasks.

Nex is an AI Knowledge Copilot application designed to help users efficiently extract main points from long YouTube videos and articles. It offers features like summarizing content, providing quick takeaways, highlighting essential parts, and saving inspirations. With Nex, users can improve their information absorption and save time by focusing on the most relevant parts of the content.

Vocal Remover Oak is an advanced AI tool designed for music producers, video makers, and karaoke enthusiasts to easily separate vocals and accompaniment in audio files. The website offers a free online vocal remover service that utilizes deep learning technology to provide fast processing, high-quality output, and support for various audio and video formats. Users can upload local files or provide YouTube links to extract vocals, accompaniment, and original music. The tool ensures lossless audio output quality and compatibility with multiple formats, making it suitable for professional music production and personal entertainment projects.

xFinder is a model specifically designed for key answer extraction from large language models (LLMs). It addresses the challenges of unreliable evaluation methods by optimizing the key answer extraction module. The model achieves high accuracy and robustness compared to existing frameworks, enhancing the reliability of LLM evaluation. It includes a specialized dataset, the Key Answer Finder (KAF) dataset, for effective training and evaluation. xFinder is suitable for researchers and developers working with LLMs to improve answer extraction accuracy.

Here we will keep track of the AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥 * Tool (AI LLM) * Game (Agent) * Code * Framework * Writer * Image * Texture * Shader * 3D Model * Avatar * Animation * Video * Audio * Music * Singing Voice * Speech * Analytics * Video Tool

This repo collects AI-related utilities. ## All Categories * All Categories * ChatGPT and other closed-source LLMs * AI Search engine * Open Source LLMs * GPT/LLMs Applications * LLM training platform * Applications that integrate multiple LLMs * AI Agent * Writing * Programming Development * Translation * AI Conversation or AI Voice Conversation * Image Creation * Speech Recognition * Text To Speech * Voice Processing * AI generated music or sound effects * Speech translation * Video Creation * Video Content Summary * OCR(Optical Character Recognition)

The 'ai-audio-startups' repository is a community list of startups working with AI for audio and music tech. It includes a comprehensive collection of tools and platforms that leverage artificial intelligence to enhance various aspects of music creation, production, source separation, analysis, recommendation, health & wellbeing, radio/podcast, hearing, sound detection, speech transcription, synthesis, enhancement, and manipulation. The repository serves as a valuable resource for individuals interested in exploring innovative AI applications in the audio and music industry.

AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

LEADS is a lightweight embedded assisted driving system designed to simplify the development of instrumentation, control, and analysis systems for racing cars. It is written in Python and C/C++ with impressive performance. The system is customizable and provides abstract layers for component rearrangement. It supports hardware components like Raspberry Pi and Arduino, and can adapt to various hardware types. LEADS offers a modular structure with a focus on flexibility and lightweight design. It includes robust safety features, modern GUI design with dark mode support, high performance on different platforms, and powerful ESC systems for traction control and braking. The system also supports real-time data sharing, live video streaming, and AI-enhanced data analysis for driver training. LEADS VeC Remote Analyst enables transparency between the driver and pit crew, allowing real-time data sharing and analysis. The system is designed to be user-friendly, adaptable, and efficient for racing car development.

RVC_CLI is a command line interface tool for retrieval-based voice conversion. It provides functionalities for installation, getting started, inference, training, UVR, additional features, and API integration. Users can perform tasks like single inference, batch inference, TTS inference, preprocess dataset, extract features, start training, generate index file, model extract, model information, model blender, launch TensorBoard, download models, audio analyzer, and prerequisites download. The tool is built on various projects like ContentVec, HIFIGAN, audio-slicer, python-audio-separator, RMVPE, FCPE, VITS, So-Vits-SVC, Harmonify, and others.

**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

This repository serves as a practical guide for Medical Large Language Models (Medical LLMs) and provides resources, surveys, and tools for building, fine-tuning, and utilizing LLMs in the medical domain. It covers a wide range of topics including pre-training, fine-tuning, downstream biomedical tasks, clinical applications, challenges, future directions, and more. The repository aims to provide insights into the opportunities and challenges of LLMs in medicine and serve as a practical resource for constructing effective medical LLMs.

The Spring AI project provides a Spring-friendly API and abstractions for developing AI applications. It offers a portable client API for interacting with generative AI models, enabling developers to easily swap out implementations and access various models like OpenAI, Azure OpenAI, and HuggingFace. Spring AI also supports prompt engineering, providing classes and interfaces for creating and parsing prompts, as well as incorporating proprietary data into generative AI without retraining the model. This is achieved through Retrieval Augmented Generation (RAG), which involves extracting, transforming, and loading data into a vector database for use by AI models. Spring AI's VectorStore abstraction allows for seamless transitions between different vector database implementations.

LangChain is an amazing framework to get LLM projects done in a matter of no time, and the ecosystem is growing fast. Here is an attempt to keep track of the initiatives around LangChain. Subscribe to the newsletter to stay informed about the Awesome LangChain. We send a couple of emails per month about the articles, videos, projects, and tools that grabbed our attention Contributions welcome. Add links through pull requests or create an issue to start a discussion. Please read the contribution guidelines before contributing.

A curated list of Generative AI projects, tools, artworks, and models

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

ShapeLLM is the first 3D Multimodal Large Language Model designed for embodied interaction, exploring a universal 3D object understanding with 3D point clouds and languages. It supports single-view colored point cloud input and introduces a robust 3D QA benchmark, 3D MM-Vet, encompassing various variants. The model extends the powerful point encoder architecture, ReCon++, achieving state-of-the-art performance across a range of representation learning tasks. ShapeLLM can be used for tasks such as training, zero-shot understanding, visual grounding, few-shot learning, and zero-shot learning on 3D MM-Vet.

Deej-A.I. is an advanced machine learning project that aims to revolutionize music recommendation systems by using artificial intelligence to analyze and recommend songs based on their content and characteristics. The project involves scraping playlists from Spotify, creating embeddings of songs, training neural networks to analyze spectrograms, and generating recommendations based on similarities in music features. Deej-A.I. offers a unique approach to music curation, focusing on the 'what' rather than the 'how' of DJing, and providing users with personalized and creative music suggestions.

I extract data and tables from PDFs to CSV, focusing on data privacy and precision.

Extract the essence of the novel story according to the quantity requirements and generate corresponding images. The images can be used directly to create novel videos.小说推文图片自动批量生成,可自动生成风格一致性图片

Extract insights seamlessly from diverse documents.

Extract from receipts to CSV: Date of Purchase, Item Purchased, Quantity Purchased, Units

PDFChat : Analyse 1000's of PDF's in seconds, extract and chat with PDFs in any language.

Analyze watch images, extract text, and craft sales descriptions. Add 1 or more images for a single watch to get started.

Put your prompt engineering skills to the ultimate test! Embark on a journey to outwit a mythical guardian of ancient secrets. Try to extract the secret passphrase hidden in the system prompt and enter it in chat when you think you have it and claim your glory. Good luck!

An Ivy Leage Scholar GPT equipped to understand your research needs, formulate comprehensive literature review strategies, and extract pertinent information from a plethora of academic databases and journals. I'll then compose a peer review-quality paper with citations.

Open Domain Relation Extractor

Assists with text extraction from PDFs

Takes in any text and extracts the wisdom from it like you spent 3 hours taking handwritten notes.

专注于从剧本文本提取高光片段

Expert in extracting and transcribing text from images.

从网址提取并选择模型计算大小

ce GPT va recevoir des images dans lesquelles il y a des questions QCM codingame ou Problem Solving sur les sujets : Java, Hibernate, Angular, Spring Boot, SQL. Il doit extraire le texte depuis l'image et répondre au question QCM le plus rapidement possible.

我会将复杂的文本信息提炼成流程化的表达，辅助你快速了解一个流程。

Nyimpulkeun sareng nimba poin konci tina téks, artikel, video, dokumén sareng seueur deui

上传一本书（PDF、Word、Txt），我来帮你提炼精华

Extracting instructions from assistants ethically

Analyzes json files into JSONPath Syntax elements