Best AI tools for< Compose Melodies >

AI Music Generator (AMG) is an AI tool that allows users to generate audio clips up to 30 seconds long by describing them with words. It utilizes Stable Diffusion for audio generation and is powered by Meta's AudioCraft. Users can create new audio clips at a cost of $0.008 per second, with a trial period of 60 seconds. Signing up or logging in is required to start generating, with new accounts being auto-created if necessary.

Output is the ultimate creative software for music makers, offering a range of tools and plugins to supercharge music production. With Output Arcade as the flagship product, musicians can access a powerful sampler and instrument plugin, along with FX plugins and Kontakt Instruments to transform their sound. The platform also introduces AI capabilities through features like Pack Generator, providing cutting-edge software for musicians to enhance their creativity and production workflow. Output aims to simplify the music-making process and empower artists to focus on their craft.

Harmonai.org is a Stability AI Lab that develops open-source generative audio tools to make music production more accessible and enjoyable for everyone. The platform empowers artists by providing them with the ability to generate their own custom infinite sound libraries, fostering creativity without limitations.

Riffusion is an AI-powered music generator that allows users to create songs by simply typing in lyrics. The AI will then generate a melody and accompaniment that matches the lyrics. Riffusion is a powerful tool for musicians of all levels, and it can be used to create a wide variety of musical genres.

Magenta is an open-source research project that explores the role of machine learning as a tool in the creative process. It provides a collection of music creativity tools built on Magenta's open-source models, using cutting-edge machine learning techniques for music generation.

Lyrist is a comprehensive songwriting toolkit that empowers musicians and lyricists to create, collaborate, and refine their musical compositions. With its intuitive interface and powerful features, Lyrist streamlines the songwriting process, making it accessible and enjoyable for users of all skill levels. From brainstorming ideas to finalizing lyrics and melodies, Lyrist provides a comprehensive suite of tools to enhance the creative journey.

AUDOIR, LLC provides AI-powered tools for lyrics, music, and song generation. Their flagship product, SAM, is an AI lyrics and music generator that can help users create songs quickly and easily. SAM can generate rhyming lyrics, melodies, and harmonies, and can even be used to build complete songs. AUDOIR also offers a variety of other AI-powered music tools, such as an AI rhyme line generator, an AI lyrics assistant, and an AI music builder.

Amped Studio is an online music sequencer and sound editor that provides users with the tools and resources they need to create music. The platform offers a variety of features, including a built-in drum machine, sequencer tracks, and a rich sample library. Amped Studio also allows users to connect third-party instruments and effects using VST technology. The platform is designed to be easy to use, even for beginners, and it offers a variety of tutorials and articles to help users get started.

AIVA is an AI music generation assistant that allows users to create new songs in over 250 different styles in seconds. It is designed for both beginners and experienced music makers, and offers ultimate customizability, allowing users to create their own style models, upload audio or MIDI influences, edit generated tracks, and download in any file format. AIVA also eliminates licensing headaches by allowing users to own the full copyright of their compositions with a Pro subscription.

SunoCC.com is a free AI music generator powered by SunoAI. It allows users to create unique MP3 songs instantly by providing text descriptions or song details. Users can customize song titles, lyrics, and music styles, or opt for instrumental tracks. Suno AI offers both free and paid plans, with the ability to download the created music for personal use. The platform supports multiple languages and generates high-quality music tracks using advanced AI technology.

MusicHero.ai is a free AI music generator tool that leverages artificial intelligence to create high-quality music tracks quickly and efficiently from text prompts. It offers customization options, utilizes Suno V3.5 technology, and supports various musical styles and applications. Users can generate music in seconds, making it a user-friendly platform for music creation.

Suno AI API is an open-source project that allows developers to integrate the music generation capabilities of Suno.ai into their own applications. The API provides a simple and convenient way to generate music, lyrics, and other audio content using Suno.ai's powerful AI models. With Suno AI API, developers can easily add music generation functionality to their apps, websites, and other projects.

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.

ComposeAI is an Android & iOS application similar to ChatGPT, built using Compose Multiplatform. It utilizes various technologies such as Compose Multiplatform, Material 3, OpenAI Kotlin, Voyager, Koin, SQLDelight, Multiplatform Settings, Coil3, Napier, BuildKonfig, Firebase Analytics & Crashlytics, and AdMob. The app architecture follows Google's latest guidelines. Users need to set up their own OpenAI API key before using the app.

The Spellbook Docker Compose repository contains the Docker Compose files for running the Spellbook AI Assistant stack. It requires ExLlama and a Nvidia Ampere or better GPU for real-time results. The repository provides instructions for installing Docker, building and starting containers with or without GPU, additional workers, Nvidia driver installation, port forwarding, and fresh installation steps. Users can follow the detailed guidelines to set up the Spellbook framework on Ubuntu 22, enabling them to run the UI, middleware, and additional workers for resource access.

ChaKt is a multiplatform app built using Kotlin and Compose Multiplatform to demonstrate the use of Generative AI SDK for Kotlin Multiplatform to generate content using Google's Generative AI models. It features a simple chat based user interface and experience to interact with AI. The app supports mobile, desktop, and web platforms, and is built with Kotlin Multiplatform, Kotlin Coroutines, Compose Multiplatform, Generative AI SDK, Calf - File picker, and BuildKonfig. Users can contribute to the project by following the guidelines in CONTRIBUTING.md. The app is licensed under the MIT License.

Geoweaver is an in-browser software that enables users to easily compose and execute full-stack data processing workflows using online spatial data facilities, high-performance computation platforms, and open-source deep learning libraries. It provides server management, code repository, workflow orchestration software, and history recording capabilities. Users can run it from both local and remote machines. Geoweaver aims to make data processing workflows manageable for non-coder scientists and preserve model run history. It offers features like progress storage, organization, SSH connection to external servers, and a web UI with Python support.

Harbor is a containerized LLM toolkit that simplifies the initial configuration of various LLM-related projects by providing a CLI and pre-configured Docker Compose setup. It serves as a base for managing local LLM stack, offering convenience utilities for tasks like model management, configuration, and service debugging. Users can access service CLIs via Docker without installation, benefit from pre-configured services that work together, share and reuse host cache, and co-locate service configs. Additionally, users can eject from Harbor to run services without it.

This repository provides a template for easy asynchronous bot development for Telegram using Aiogram library. It includes setup instructions using Docker Compose, migration commands for TortoiseORM, and examples for working with TortoiseORM. The template aims to simplify the process of creating Telegram bots with features like FastAPI integration and Docker Compose setup. The repository also includes a list of tasks to be completed, such as changing SQLAlchemy to TortoiseORM, adding FastAPI for webhook, and setting up CI/CD examples.

Gemini Android is a repository showcasing Google's Generative AI on Android using Stream Chat SDK for Compose. It demonstrates the Gemini API for Android, implements UI elements with Jetpack Compose, utilizes Android architecture components like Hilt and AppStartup, performs background tasks with Kotlin Coroutines, and integrates chat systems with Stream Chat Compose SDK for real-time event handling. The project also provides technical content, instructions on building the project, tech stack details, architecture overview, modularization strategies, and a contribution guideline. It follows Google's official architecture guidance and offers a real-world example of app architecture implementation.

Mesop is a Python-based UI framework designed for rapid web app development, particularly for demos and internal apps. It offers an intuitive interface for UI novices, frictionless developer workflows with hot reload and IDE support, and flexibility to build custom UIs without the need for JavaScript/CSS/HTML. Mesop allows users to write UI in idiomatic Python code and compose UI into components using Python functions. It is used at Google for internal app development and provides a quick way to build delightful web apps in Python.

Collective Mind (CM) is a collection of portable, extensible, technology-agnostic and ready-to-use automation recipes with a human-friendly interface (aka CM scripts) to unify and automate all the manual steps required to compose, run, benchmark and optimize complex ML/AI applications on any platform with any software and hardware: see online catalog and source code. CM scripts require Python 3.7+ with minimal dependencies and are continuously extended by the community and MLCommons members to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux and any other operating system, in a cloud or inside automatically generated containers while keeping backward compatibility - please don't hesitate to report encountered issues here and contact us via public Discord Server to help this collaborative engineering effort! CM scripts were originally developed based on the following requirements from the MLCommons members to help them automatically compose and optimize complex MLPerf benchmarks, applications and systems across diverse and continuously changing models, data sets, software and hardware from Nvidia, Intel, AMD, Google, Qualcomm, Amazon and other vendors: * must work out of the box with the default options and without the need to edit some paths, environment variables and configuration files; * must be non-intrusive, easy to debug and must reuse existing user scripts and automation tools (such as cmake, make, ML workflows, python poetry and containers) rather than substituting them; * must have a very simple and human-friendly command line with a Python API and minimal dependencies; * must require minimal or zero learning curve by using plain Python, native scripts, environment variables and simple JSON/YAML descriptions instead of inventing new workflow languages; * must have the same interface to run all automations natively, in a cloud or inside containers. CM scripts were successfully validated by MLCommons to modularize MLPerf inference benchmarks and help the community automate more than 95% of all performance and power submissions in the v3.1 round across more than 120 system configurations (models, frameworks, hardware) while reducing development and maintenance costs.

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.

Discollama is a Discord bot powered by a local large language model backed by Ollama. It allows users to interact with the bot in Discord by mentioning it in a message to start a new conversation or in a reply to a previous response to continue an ongoing conversation. The bot requires Docker and Docker Compose to run, and users need to set up a Discord Bot and environment variable DISCORD_TOKEN before using discollama.py. Additionally, an Ollama server is needed, and users can customize the bot's personality by creating a custom model using Modelfile and running 'ollama create'.

Jina is a tool that allows users to build multimodal AI services and pipelines using cloud-native technologies. It provides a Pythonic experience for serving ML models and transitioning from local deployment to advanced orchestration frameworks like Docker-Compose, Kubernetes, or Jina AI Cloud. Users can build and serve models for any data type and deep learning framework, design high-performance services with easy scaling, serve LLM models while streaming their output, integrate with Docker containers via Executor Hub, and host on CPU/GPU using Jina AI Cloud. Jina also offers advanced orchestration and scaling capabilities, a smooth transition to the cloud, and easy scalability and concurrency features for applications. Users can deploy to their own cloud or system with Kubernetes and Docker Compose integration, and even deploy to JCloud for autoscaling and monitoring.

Autogen Studio is a Docker container that provides a platform for running automated tasks using OpenAI API. It allows users to easily set up and manage a workspace for generating content and performing various tasks. The container can be run standalone or using Docker Compose, with options to mount data volumes and configure environment variables. Autogen Studio simplifies the process of leveraging AI capabilities for automating tasks and content generation.

Breadboard is a library for prototyping generative AI applications. It is inspired by the hardware maker community and their boundless creativity. Breadboard makes it easy to wire prototypes and share, remix, reuse, and compose them. The library emphasizes ease and flexibility of wiring, as well as modularity and composability.

Pezzo is a fully cloud-native and open-source LLMOps platform that allows users to observe and monitor AI operations, troubleshoot issues, save costs and latency, collaborate, manage prompts, and deliver AI changes instantly. It supports various clients for prompt management, observability, and caching. Users can run the full Pezzo stack locally using Docker Compose, with prerequisites including Node.js 18+, Docker, and a GraphQL Language Feature Support VSCode Extension. Contributions are welcome, and the source code is available under the Apache 2.0 License.

Vearch is a cloud-native distributed vector database designed for efficient similarity search of embedding vectors in AI applications. It supports hybrid search with vector search and scalar filtering, offers fast vector retrieval from millions of objects in milliseconds, and ensures scalability and reliability through replication and elastic scaling out. Users can deploy Vearch cluster on Kubernetes, add charts from the repository or locally, start with Docker-compose, or compile from source code. The tool includes components like Master for schema management, Router for RESTful API, and PartitionServer for hosting document partitions with raft-based replication. Vearch can be used for building visual search systems for indexing images and offers a Python SDK for easy installation and usage. The tool is suitable for AI developers and researchers looking for efficient vector search capabilities in their applications.

Airbroke is an open-source error catcher tool designed for modern web applications. It provides a PostgreSQL-based backend with an Airbrake-compatible HTTP collector endpoint and a React-based frontend for error management. The tool focuses on simplicity, maintaining a small database footprint even under heavy data ingestion. Users can ask AI about issues, replay HTTP exceptions, and save/manage bookmarks for important occurrences. Airbroke supports multiple OAuth providers for secure user authentication and offers occurrence charts for better insights into error occurrences. The tool can be deployed in various ways, including building from source, using Docker images, deploying on Vercel, Render.com, Kubernetes with Helm, or Docker Compose. It requires Node.js, PostgreSQL, and specific system resources for deployment.

I'm your friendly co-writer in SongWriting

AI Taylor Swift Songwriting Companion

专业音乐理论工具

Give me your musician and I'll give you AI songs of them.

From a song you like generate a new set of Lyrics totally original

🎼 I make Song Sequels

Cheerful and go-lucky virtual musician, bringing warmth and creativity to songwriting.

I craft versatile, 3-part song templates in the same key.

Generates original music ideas based on user input.

Create Worship Lyrics and Chords Here Based on God's Word

专为音乐生成系统“Suno AI”定制的歌词和音乐创作专家。能够根据不同音乐风格和用户需求创作符合特定格式的歌词，支持中文和英语创作。旨在为Suno AI V3提供满足官方格式要求的优质歌词建议，涵盖各类音乐结构组合。

🎤 Master Songwriter: Exceptional Talent in Writing & Composing Music In All Styles 🎵

创作繁体中文Suno歌词，交流用简中，提供固定格式英文音乐制作提示词。

1990年代のJ-POPの歌詞風に返答するGPT

Creador de letras al estilo Miree con enfoque en anime y cultura pop

Trap lyricist with a Gen Z twist.

Harmonizes ABC-notation melodies for guitar and assists with mp3 to MIDI conversion, MIDI to ABC-notation, and more.

Androidレイアウト用のComposable関数コードを生成してくれます。

I compose original music tailored to your level and instrument. (Level: 0 to 10)

This GPT will compose engaging newsletter content with text and images, you just have to hit publish