TemiLyrics

A lyrics-interpretation website powered by AI

Comment

Inspiration

This project was born from a simple but powerful moment —"I need to know more about this song". It came while I was listening to "Sand in my boots" by Morgan Wallen. I resonated with the lyrics but I did not fully understand a lot of the references he made in the song. As a young Nigerian developer and music lover, I often find myself resonating with lyrics deeply but without understanding their full meaning and the artist's context. Whether it was a complex rap verse, pop jam or a worship song, I wanted to go beyond just "vibing" and start "understanding". Before I could find enough "behind-the-scenes" information about my favorite songs, I often had to go through numerous blog posts and interviews, which was very inefficient and time-wasting. TemiLyrics has solved that problem for me and I am confident that it can do the same for billions of music lovers around the world. With God’s help and the support of my teammate and peers, I combined my love for tech, lyrics, and cultural storytelling into what became TemiLyrics.

This isn’t just a tool...It’s a mission to help people around the world connect more deeply with music in a simple and efficient way.

What it does

TemiLyrics is a web application that leverages advanced AI models to generate deep, culturally aware, and emotionally resonant interpretations of song lyrics. Users can input a song title and artist, and TemiLyrics returns an insightful analysis that includes themes, tone, summary, line-by-line breakdowns, cultural or spiritual references, real-life events related to the artist, and external context where applicable. The platform enhances music appreciation by translating lyrical expression into meaningful understanding.

How we built it

TemiLyrics is built using Bolt.new. Next.js for the frontend and API routing, with Tailwind CSS for responsive UI design. On the backend, it integrates with Groq’s LLaMA-3.3-70b-versatile API to perform nuanced lyrical interpretation. Lyrics are retrieved using a third-party lyrics API, and processed through structured prompts crafted for consistency, empathy, and depth. All AI-generated outputs are validated as JSON to maintain format integrity.

Challenges we ran into

Ensuring that AI responses consistently conformed to valid JSON required extensive prompt tuning and error handling.

Handling incomplete or ambiguous lyrics from third-party APIs created reliability issues that required fallback mechanisms.

Interpreting lyrical content across diverse genres and cultures while avoiding hallucinations or misrepresentation was a constant balancing act.

Managing API performance and handling “no healthy upstream” errors from external services introduced technical friction.

Accomplishments that we're proud of

Bringing an abstract idea to life using cutting-edge Technology like Bolt.new etc.

Successfully prompting a large language model to produce structured and meaningful lyrical interpretations without breaking format.

Creating a UI that feels intuitive and polished while delivering complex analysis.

Embedding cultural and spiritual awareness into the analysis process — making the output feel human, respectful, and reflective of the artist’s background.

Receiving positive early feedback from test users who reported a stronger emotional connection with the songs after using TemiLyrics.

What we learned

Prompt engineering is both an art and a science, slight wording changes drastically affect LLM output quality and structure.

External APIs, especially for copyrighted content, require thorough vetting for uptime, reliability, and legal compliance.

Users value contextual storytelling and emotional insight just as much as technical accuracy.

Model selection (e.g. LLaMA 3.3 70B) greatly influences interpretation depth and tone.

What's next for TemiLyrics

Integrate more robust and reliable lyrics data providers with proper licensing for long-term scalability.

Offer personalization options (e.g. spiritual, emotional, academic lenses) based on user preferences.

Introduce support for multiple languages and regional music styles.

Build a Chrome extension or mobile version to enhance accessibility.

Add community features for sharing interpretations and discussing meaning collaboratively.

Built With

  • bolt.new
  • claude
  • entri
  • genius
  • netlify
  • next.js
  • tailwind
Share this project:

Updates