Should I Build It Should I Build It
26 Apr 2025
Artificial Intelligence Music

ai music app that generates songs from lyrics easily and fast

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Swamp

The market has seen several mediocre solutions that nobody loves. Unless you can offer something fundamentally different, you’ll likely struggle to stand out or make money.

Should You Build It?

Don't build it.

Your are here

Your idea for an AI music app that generates songs from lyrics puts you in a crowded space. We've found 22 similar products, which means competition is high. The general sentiment in this category, which we call a "Swamp", is that many mediocre solutions already exist, and it's difficult to stand out. User engagement, measured by average comments, is low at around 2 comments per product. We don't have sufficient data to reliably estimate net use or buy signals, which further underscores the uncertainty around user adoption and monetization in this market. Unfortunately, the consensus for ideas in the 'Swamp' category is generally 'don't build it'.

Recommendations

  1. Before investing further, deeply analyze why existing AI music generation solutions haven't achieved widespread success or user love. What are their shortcomings in terms of music quality, ease of use, customization options, or monetization strategies? What can you offer that is fundamentally different and addresses these gaps?
  2. If you are determined to proceed, identify a specific niche audience or use case that is currently underserved by existing AI music generators. For example, could you focus on creating music for indie game developers, personalized jingles for small businesses, or therapeutic music for relaxation and meditation? Tailoring your app to a specific group will allow you to better meet their needs and differentiate yourself from the competition.
  3. Instead of building a direct competitor, consider developing tools or plugins that enhance the capabilities of existing AI music platforms. This could involve creating specialized lyric generators, AI-powered mixing and mastering tools, or interfaces for integrating AI music into other creative workflows. Partnering with existing providers could be a more viable path to market.
  4. Explore adjacent problems that might be more promising and less crowded. For example, could you focus on AI-powered music education, music therapy, or tools for analyzing and understanding musical trends? Diversifying your focus could open up new opportunities with less direct competition.
  5. Given the criticisms of existing AI music generators, such as unclear instructions, lack of free trials, and confusing commercial use rights (as seen with "I Made an AI Song Generator"), prioritize transparency and ease of use in your app's design. Make sure your instructions are clear, offer a free trial to allow users to test the service before committing, and provide clear guidelines on pricing and commercial use rights.
  6. Based on feedback from similar products, consider adding an 'Explore' page to showcase user creations, as suggested for Lyricallabs.io. This will foster a sense of community and allow users to discover and be inspired by each other's work.
  7. Address potential technical issues such as slow processing times and non-functional buttons, as reported by users of other AI music generators. Optimize your app's performance to ensure fast and reliable music generation.
  8. As some users have questioned whether certain AI music services are merely wrappers for existing platforms like Suno.AI, ensure that your app offers unique value and is not simply repackaging existing technology. Develop your own unique AI algorithms or music generation techniques to differentiate yourself from the competition.
  9. Given the low engagement metrics and the "Swamp" category classification, it might be prudent to save your energy and resources for a better opportunity. Carefully weigh the potential risks and rewards before committing to building this app.

Questions

  1. What specific musical styles or genres will your AI music app excel at, and how will you ensure that the generated music is of high quality and originality, avoiding the generic sound that plagues many existing AI music solutions?
  2. How will you address the legal and ethical considerations surrounding AI-generated music, such as copyright infringement and the potential displacement of human musicians, and how will you ensure that your app is used responsibly and ethically?
  3. What innovative features or functionalities will your app offer that go beyond simply generating songs from lyrics, and how will you create a unique and compelling user experience that sets you apart from the crowded field of AI music generators?

Your are here

Your idea for an AI music app that generates songs from lyrics puts you in a crowded space. We've found 22 similar products, which means competition is high. The general sentiment in this category, which we call a "Swamp", is that many mediocre solutions already exist, and it's difficult to stand out. User engagement, measured by average comments, is low at around 2 comments per product. We don't have sufficient data to reliably estimate net use or buy signals, which further underscores the uncertainty around user adoption and monetization in this market. Unfortunately, the consensus for ideas in the 'Swamp' category is generally 'don't build it'.

Recommendations

  1. Before investing further, deeply analyze why existing AI music generation solutions haven't achieved widespread success or user love. What are their shortcomings in terms of music quality, ease of use, customization options, or monetization strategies? What can you offer that is fundamentally different and addresses these gaps?
  2. If you are determined to proceed, identify a specific niche audience or use case that is currently underserved by existing AI music generators. For example, could you focus on creating music for indie game developers, personalized jingles for small businesses, or therapeutic music for relaxation and meditation? Tailoring your app to a specific group will allow you to better meet their needs and differentiate yourself from the competition.
  3. Instead of building a direct competitor, consider developing tools or plugins that enhance the capabilities of existing AI music platforms. This could involve creating specialized lyric generators, AI-powered mixing and mastering tools, or interfaces for integrating AI music into other creative workflows. Partnering with existing providers could be a more viable path to market.
  4. Explore adjacent problems that might be more promising and less crowded. For example, could you focus on AI-powered music education, music therapy, or tools for analyzing and understanding musical trends? Diversifying your focus could open up new opportunities with less direct competition.
  5. Given the criticisms of existing AI music generators, such as unclear instructions, lack of free trials, and confusing commercial use rights (as seen with "I Made an AI Song Generator"), prioritize transparency and ease of use in your app's design. Make sure your instructions are clear, offer a free trial to allow users to test the service before committing, and provide clear guidelines on pricing and commercial use rights.
  6. Based on feedback from similar products, consider adding an 'Explore' page to showcase user creations, as suggested for Lyricallabs.io. This will foster a sense of community and allow users to discover and be inspired by each other's work.
  7. Address potential technical issues such as slow processing times and non-functional buttons, as reported by users of other AI music generators. Optimize your app's performance to ensure fast and reliable music generation.
  8. As some users have questioned whether certain AI music services are merely wrappers for existing platforms like Suno.AI, ensure that your app offers unique value and is not simply repackaging existing technology. Develop your own unique AI algorithms or music generation techniques to differentiate yourself from the competition.
  9. Given the low engagement metrics and the "Swamp" category classification, it might be prudent to save your energy and resources for a better opportunity. Carefully weigh the potential risks and rewards before committing to building this app.

Questions

  1. What specific musical styles or genres will your AI music app excel at, and how will you ensure that the generated music is of high quality and originality, avoiding the generic sound that plagues many existing AI music solutions?
  2. How will you address the legal and ethical considerations surrounding AI-generated music, such as copyright infringement and the potential displacement of human musicians, and how will you ensure that your app is used responsibly and ethically?
  3. What innovative features or functionalities will your app offer that go beyond simply generating songs from lyrics, and how will you create a unique and compelling user experience that sets you apart from the crowded field of AI music generators?

  • Confidence: High
    • Number of similar products: 22
  • Engagement: Low
    • Average number of comments: 2
  • Net use signal: 1.9%
    • Positive use signal: 18.6%
    • Negative use signal: 16.7%
  • Net buy signal: -12.1%
    • Positive buy signal: 2.4%
    • Negative buy signal: 14.5%

This chart summarizes all the similar products we found for your idea in a single plot.

The x-axis represents the overall feedback each product received. This is calculated from the net use and buy signals that were expressed in the comments. The maximum is +1, which means all comments (across all similar products) were positive, expressed a willingness to use & buy said product. The minimum is -1 and it means the exact opposite.

The y-axis captures the strength of the signal, i.e. how many people commented and how does this rank against other products in this category. The maximum is +1, which means these products were the most liked, upvoted and talked about launches recently. The minimum is 0, meaning zero engagement or feedback was received.

The sizes of the product dots are determined by the relevance to your idea, where 10 is the maximum.

Your idea is the big blueish dot, which should lie somewhere in the polygon defined by these products. It can be off-center because we use custom weighting to summarize these metrics.

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