How to use text to music? Top recommended AI text-to-music tools for 2026

What is Text to Music?

Open a webpage, type into the input box: “A lazy jazz-style café background track, piano-dominant, slow tempo,” then click generate. In seconds, a studio-quality jazz piece appears in your playlist. This is not advertising copy—it’s the daily reality of Text to Music technology in 2026.

Text to Music is a core technical paradigm in AI-generated music. Users describe their musical expectations in natural language—style, mood, instruments, tempo, and use case. The AI model parses the semantics, maps them to the audio feature space, and directly synthesises audio content that matches the description.

Review of the Best AI Text-to-Music Tools for 2026

This review has selected 5 highly rated and popular Text to Music platforms from the market, scoring them one by one across the following four dimensions (5 stars maximum):

• Generation Efficiency
• Ease of Use
• Style Coverage
• Commercial Copyright

1. MakeBestMusic

A one-stop AI music creation platform for content creators, balancing generation efficiency and scenario coverage.

• Platform Positioning: The core design philosophy of MakeBestMusic is to enable every creative individual to quickly turn musical ideas into deliverable finished products. The platform supports two core modes: Text to Song and Lyrics to Song, with built-in AI Lyrics Generator and Optimise Lyric functions. It provides one-stop, full-chain creation from keyword inspiration to completely finished tracks, eliminating the need to switch between multiple tools. It is the only tool among the five products that fully supports one-stop music creation.
• Generation Efficiency (★★★★★): The end-to-end generation time of MakeBestMusic is generally within 30 seconds to 2 minutes. The creation interface is displayed on the home screen without redundant navigation. Users only need three simple steps: enter description → click generate → download. The platform also provides a Random prompt function, which offers instant inspiration when facing creative blocks, greatly reducing the psychological barrier of getting started.
• Ease of Use (★★★★★): MakeBestMusic has the lowest entry barrier among the five tools evaluated. All technical parameters are removed from the interface; generation is driven entirely by natural language descriptions. Even first-time users with no experience can usually generate a song within one minute of accessing the website.
• Style Coverage (★★★★☆): MakeBestMusic covers major commercial genres, including Pop, R&B, Electronic, Country, Jazz, Folk, and Blues. The output audio quality offers high commercial usability. Its style range is more than sufficient for most content creation scenarios, such as short videos, podcasts, and brand videos.
• Commercial Copyright (★★★★★): Music generated by the free version of MakeBestMusic supports the MP3 format and can be used for basic non-commercial content. It is the only tool among the five products that allows free downloads. Paid plans include full commercial licensing with relatively clear and transparent copyright terms. For most content creators who do not monetise primarily through music, its copyright policy is industry-standard and user-friendly.

Target Users:

• Short-video creators (Douyin / YouTube / Xiaohongshu)
• Podcast/video background music producers
• Personal IP theme song creators
• Content creators needing one-stop completion of lyrics and music production

2. Soundraw

Professional-grade instrumental generation engine, no copyright worries.

• Platform Positioning: Founded in 2020 by Daigo Kusunoki, Soundraw is an AI royalty‑free music generator built specifically for content creators. It intelligently generates matching audio based on mood, genre, and duration, completely solving copyright issues for video soundtracks.
• Generation Efficiency (★★★★☆): The tool supports real-time generation and instant editing. After users adjust song sections or energy levels, the system quickly returns new results without long waiting times. This edit‑and‑generate workflow drastically shortens the creation cycle and helps users find their ideal sound more efficiently.
• Ease of Use (★★★☆☆): Soundraw uses tab-based selection instead of text prompts, reducing quality inconsistencies caused by poorly written prompts. It is more user‑friendly for those who struggle with English descriptions. New users typically take about 5 minutes to get started. However, the platform currently focuses only on instrumental music and does not generate songs with vocals—a clear limitation if you need full tracks with singing.
• Style Coverage (★★★★★): It covers 30+ music genres, including Hip‑Hop, EDM, Lo‑Fi, Pop, Cinematic, Jazz, Rock, Classical, and more. Combined with fine‑grained tempo control, it offers an extremely wide style matrix. For multi‑category creators who frequently switch content tones, Soundraw’s real‑time genre adjustment is a major advantage.
• Commercial Copyright (★★★★☆): The platform’s music copyright and download features are unlocked only via upgraded membership or custom paid plans. Free users can usually only generate and preview tracks online. To download audio files or obtain commercial usage rights, a corresponding subscription plan is required.

Target Users:

• Podcast background music producers
• Commercial / brand video creators
• Professional producers who need STEM track downloads

3. EasyMusic.AI

An AI music platform with active feature iteration.

• Platform Positioning: EasyMusic.AI offers users a diverse selection of AI models throughout the creation process, allowing creators to switch flexibly according to different genres, tempos, and vocal preferences to meet varied music production needs. The overall sound quality is standard among comparable free entry-level tools, ensuring clarity and listenability for basic productions, though it remains somewhat limited in terms of high fidelity and complex arrangement details.
• Generation Efficiency (★★★☆☆): EasyMusic’s text-to-music feature offers a variety of models, including Fusion, Harmonic, Melodic, and Classic versions. Each model has a different generation speed: the traditional Classic model takes about 2 minutes, the Harmonic and Melodic versions take about 4 minutes, while the Fusion version requires approximately 8 minutes to generate due to its more complex tracks and effects processing.
• Ease of Use (★★★★☆): The interface design is friendly for beginners, offering two creation paths: “Text Description → Music” and “Lyrics → Music”, allowing users to generate songs quickly. However, the Create Music interface does not yet have a built-in AI lyrics generator, so users must enter complete lyrics manually before starting production.
• Style Coverage (★★★★☆): It supports a variety of music styles, allows users to input text, and provides a style guide that enables style customisation using keywords from the guide. However, all input and editing must be done manually.
• Commercial Copyright (★★★☆☆): The platform’s permissions vary by subscription plan: the monthly plan only supports audio downloading, while the quarterly and annual plans include a commercial license for monetised use. In other words, if users wish to use the generated music for advertisements, video monetisation, or other commercial projects, they must upgrade to a higher-tier subscription to obtain full commercial authorisation.

Target Users:

• TikTok / Short-video content creators

4. iLoveSong.ai

AI generates songs quickly, supporting lyrics and style customisation.

• Platform Positioning: iLoveSong.ai is an AI music generation platform designed for casual users and content creators. It can quickly generate complete songs using text, lyrics, or style prompts. The platform emphasises low-barrier creation, but audio downloads and commercial copyrights require a premium membership. Its personalised adjustment and creative freedom are relatively limited, making it one of the optional tools for content creators who need to generate music quickly.
• Generation Efficiency (★★★★★): iLoveSong has relatively long generation response times. The platform offers 4 generation models. The basic model takes around 4 minutes, while advanced models can take up to 8 minutes due to more complex arrangements and track structures. Different models balance generation quality and waiting time.
• Ease of Use (★★★★★): The tool features a clear interface layout. Basic operations—entering lyrics, selecting vocals, and clicking the generate button—allow users to create music with a quick learning curve. However, the AI Music Generator interface does not include a one-click lyrics generation function, requiring users to input lyrics manually, which creates a slight barrier.
• Style Coverage (★★★★☆): It supports mainstream popular genres, including Pop, R&B, Acoustic, EDM, Indie, and Hip-Hop. It also covers emotional themes such as romantic ballads, energetic party tracks, and relaxing meditation music, meeting the core needs of general content creation scenarios.
• Commercial Copyright (★★★☆☆): This is a relative weakness of iLoveSong. Commercial usage rights require a paid subscription (quarterly or annual), and music generated in the free version is not available for commercial use.

Target Users:

• Creators making background music for specific emotional scenes (e.g., birthday greetings, confession songs)
• Podcast intro/outro sound designers

5. AISongGenerator.io

The free version offers 6 credits per day, suitable for users who need exploratory creation.

• Platform Positioning: AISongGenerator.io is an online music and song generation platform powered by advanced artificial intelligence. Users can quickly generate musical works by entering text descriptions, lyrics, or selecting parameters such as music style, vocal timbre, and performance type.
• Generation Efficiency (★★★★☆): The overall generation speed is 1–2 minutes. The platform also provides a lyric assistance tool that helps users who are not good at writing prompts automatically generate more detailed descriptions.
• Ease of Use (★★★★☆): It has a clean interface design and supports two input methods: text description and lyrics. Users can choose male vocals, female vocals, or instrumental only, with additional optional tags such as mood, key, and instruments. Free users receive 6 credits per day.
• Style Coverage (★★★★☆): Covers mainstream genres including Pop, Hip-Hop, Classical, Rock, Jazz, and EDM, and supports multilingual lyric input.
• Commercial Copyright (★★★★☆): The basic version supports MP3 downloads, but commercial usage rights require a membership upgrade.

Target Users:

• Early-stage creators in the creative exploration phase who are unsure of their style direction
• Individual music enthusiasts with a limited budget

Tool Selection Guide for Different Scenarios

There is no absolute “best” tool, only the one that best suits your current scenario. Below are precise matching recommendations based on typical usage scenarios:

Text to Music Frequently Asked Questions (FAQ)

Will AI-generated music be falsely flagged by copyright systems on Douyin/YouTube? 

No. This is one of the biggest copyright advantages of AI-generated music compared to traditional music libraries. Platform copyright detection systems (such as YouTube ContentID) match existing copyrighted music libraries using audio fingerprints. Since AI-generated music is newly created in real time, it has no matching entries in existing copyrighted catalogues, so it will not trigger false audio fingerprint claims. Of course, this is provided that the platform you use offers legitimate commercial licensing and that the platform’s training data itself does not involve copyright disputes.

Why do I still get unsatisfactory results even when I write very detailed prompts?

There are three common reasons. First, there are conflicting styles in your prompt, such as using both “intense” and “relaxing” at the same time. The AI will compromise, making neither feature stand out. Second, you use overly abstract words like “nice” or “emotional” instead of specific musical terms. Third, Chinese prompts generally work worse than English on most platforms, so we suggest switching to English and trying again. Another effective strategy is to first generate a version, then fine‑tune the prompt based on it—for example, adding “more piano” or “fewer drums”—to iteratively get closer to your desired effect.

Can music generated in the free version be used directly for commercial content?

Policies vary by platform, but the general rule is: the free version usually does not include full commercial licensing.

• The free version of Soundraw can be used within the editor but cannot be downloaded and does not include commercial rights.
• The free version of MakeBestMusic is usable for basic content scenarios, but upgrading to a paid plan is recommended for commercial projects.

For most content creators, the most practical advice is: Start with the free version of MakeBestMusic to get familiar with the Text-to-Music workflow and prompt writing. When the free version can no longer meet your usage frequency or commercial copyright needs, choose the corresponding paid plan based on your specific scenario. Writing effective prompts is the only truly universal core skill across all platforms—no matter how platforms evolve, this ability will continue to bring you better generation results.