MusicStar.AI
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Pricing model
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MusicStar.ai provides a comprehensive set of tools for crafting professional-grade music tracks. Its lyrics editor enables simple composition and editing of song lyrics. The acapella and vocal recording feature lets you seamlessly integrate your voice or other sounds into your music tracks. The music feature allows for the creation, mixing, and mastering of tracks, while the voice changer gives you a playful and inventive method to alter your vocal sound. The album cover feature offers the ability to design and personalize your album cover, and the audio editor enables fine-tuning and perfecting of your sound.
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HookSounds is a platform offering royalty-free music along with sound effects and intros/outros. It includes an AI Studio Beta tool designed to automatically create soundtracks that align with the context and duration of uploaded videos. HookSounds guarantees complete legal protection and provides various subscription options for premium users, businesses, in-store music, and educational programs.
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Jamahook Sound Assistant is an AI-enhanced plugin crafted for music producers to swiftly locate sounds that are harmonically and rhythmically in sync with their projects. By integrating seamlessly with digital audio workstations (DAWs), it enables users to align loops and samples from their own local audio collection as well as a vast cloud-based loop library. This tool is ideal for producers seeking to optimize their creative workflow, rediscover overlooked audio materials, and effortlessly craft unique tracks without exiting their DAW setup. The blend of local and cloud-based matching capabilities, coupled with the AI's proficiency in categorizing and suggesting pertinent audio elements, makes Jamahook Sound Assistant an invaluable asset for boosting creativity and productivity in music production.
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Replicate and MusicGen are tools that enable users to generate music from text through machine learning models. Replicate offers a platform for developing models with minimal coding requirements, whereas MusicGen is a model created by Facebook Research, trained on 20,000 hours of licensed music.