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What is Music Prompt Search? Chat GPT for music?

What is Music Prompt Search? Chat GPT for music?

by | Aug 18, 2025 | AI Analysis, Announcement, Resources

Last updated on March 6th, 2025 at 02:14 pm

How Music Prompt Search Works & Why It’s Only Part of the Puzzle

Alongside our Similarity Search, which recommends songs that are similar to one or many reference tracks, we’ve built an alternative to traditional keyword searches. We call it Free Text Search – our prompt-based music search. 

Imagine describing a song before you’ve even heard it:

“Dreamy, with soft piano, a subtle build-up, and a bittersweet undertone. Think rainy day reflection.”

This is the kind of prompt that Cyanite can turn into music suggestions – not based on genre or mood tags, but on the actual sound of the music. 

Music Prompt Search Example with Cyanite’s Free Text Search

What Is Music Prompt Search?

Prompt search allows you to enter a natural language description (e.g. “uplifting indie with driving percussion and a nostalgic feel”) and get back music that matches that idea sonically. 

We developed this idea in 2021 and were the first ones to launch a music search that was based on pure text input in 2022. Since then we’ve been improving and refining this kind of AI-powered search so that it can accurately translate text into sound. That way, you will get the closest result to the prompt that your catalog allows for. 

We are not searching for certain keywords that appear in a search. We directly map text to music. We make the system understand which text description fits a song. This is what we call Free Text Search.

Roman Gebhardt

CAIO & Founder, Cyanite

Built with ChatGPT? Not All Prompts Are Created Equal

More recently, different companies have entered the field of prompt-based music search, using large language models like ChatGPT as a foundation. These models are strong at interpreting natural language, but can not understand music the way we do. 

They generate tags based on text input and then search those tags. So in reality, these algorithms work like a traditional keyword search, and only decipher natural language prompts into keywords. 

When Prompt Search Shines

Prompt search is a game-changer when:

  • You have a specific scene or mood in mind
  • You’re working with briefs from film, games, or advertising
  • You want to match the energy or emotional arc of a moment

This is ideal for music supervisors, marketers, and creative producers.

Note: Our Free Text Search just got better!

With our latest update, Free Text Search is now:

✅ Multilingual – use prompts in nearly any language

✅ Culturally aware – understand references like “Harry Potter” or “Mario Kart”

✅ Significantly more accurate and intuitive

It’s available free for all API users on V7 and for all web app accounts created after March 15. Older accounts can request access via email.

Get a Demo
New Free Text Search Features

The limits of prompt-based music search.

Prompt search is powerful – but it’s not a silver bullet.

There’s still the blank page problem: It’s hard to put a vision of a song into words. And if you don’t know what you’re looking for, prompts can become paralyzing. And how you write the prompts really matters! To be sure your recommendations are not limited by your prompting skills, be sure to read our guide on how to write the perfect prompt every time. 

Where prompt-based search has its limits – structured metadata and keyword search shines. Sometimes, you need to explore music by filtering, tagging, and iterating. 

At Cyanite, we see prompt search and tagging not as opposing systems, but as complementary tools.

In short: 

    • Prompt Search helps you describe what you hear in your mind.
    • Tag-Based Filtering helps you discover what you didn’t know you needed.

 

Why We Build Our Own Models

We chose to develop every model in-house 

Not only for data security and IP protection, but because music deserves a dedicated algorithm. 

Few things are as complex and deep as the world of music. General-purpose AI doesn’t understand the nuance of tempo shifts, the subtle timbre of analog synths, or the emotional trajectory of a song.

Our models are trained on the sound itself. That means:

    • More precise results
    • Higher musical integrity
    • More confidence when recommending or licensing tracks

If you wanna learn more on how our models are working – check out this blog article and interview with our CAIO Roman Gebhardt.

Read Interview with our CAIO

A Smarter Way to Find Music

We’ve spent nearly a decade building toward a vision where music discovery becomes more human, more intuitive, and more creative. Our goal is to help people working with music to make more data-backed decisions to create music moments –  and at the same time equally appreciate artists of any size that fit your vision. Our AI does not filter or sort the results by anything but musical similarity to the input.

That is of course if you don’t pre-filter the search results. To learn more about pre- & post-filtering and why it matters – check out the first edition of our Newsletter for Businesses that we launched earlier this year. 

Newsletter for Businesses #1: Post&Pre-Filtering

We think that prompt search is definitely part of the future of music discovery – but it’s only one piece of the puzzle. And we’re dedicated to making sure that every piece of that puzzle fits and pushes the music industry to a bright & fair future. 

If you want to share your thoughts, or feedback on how we can achieve this, talk to us!

Want to try our Free Text Search on your own music catalog?

Try your own songs
Get a Demo

We’d love to show you how Cyanite can make your music easier to find, pitch, and sync no matter how you search.

 Your Cyanite Team

Sync Music Matching with AI-powered Metadata | A Case Study with SyncMyMusic

Sync Music Matching with AI-powered Metadata | A Case Study with SyncMyMusic

by | Aug 7, 2025 | Case Study, How-to Guide, Interview, Music Industry, Resources

Last updated on March 6th, 2025 at 02:14 pm

The Problem

The sync licensing industry faces a fundamental information asymmetry problem. With hundreds of production music libraries operating globally, producers struggle to identify which companies are actively placing their style of music. Jesse Josefsson, veteran of 10,000+ sync placements, identified this gap as a core market inefficiency.

Genres were wrong, moods were wrong. Just not even close to what I would think as acceptable answers for an auto tagging model.

Jesse Josefsson

Founder, SyncMyMusic

Key Challenges:

 

    • Producers pitching to inappropriate libraries for years without results
    • Manual research taking days or weeks per opportunity
    • Inaccurate tagging solutions create more problems than they solve
    • Industry professionals “flying blind” when making strategic decisions

The Solution

“One of the members said it was so accurate, it was almost spooky because it got things and it labeled things that even they wouldn’t have probably thought of themselves.” – Jesse Josefsson

After evaluating multiple auto-tagging solutions, SyncMyMusic selected Cyanite based on accuracy standards and industry reputation. The platform architecture combines TV placement data with AI-powered music metadata analysis to deliver targeted recommendations.

Why Cyanite:

    • Industry-leading accuracy in genre and mood classification
    • Partnership credibility through SourceAudio integration
    • Responsive customer support with sub-2-hour response times
    • Seamless API integration capabilities

Watch The Full Case Study Interview

The Implementation

I’m what they would probably call a “vibe coder”. I don’t have coding skills, but if I can do this, you can do this. – Jesse Josefsson

Jesse built the entire SyncMatch platform using AI tutoring (ChatGPT/Grok) and automation tools (make.com) without traditional coding experience. The implementation took 2.5 months from concept to MVP, demonstrating how modern no-code approaches can deliver enterprise-grade solutions.

Technical Innovation:

  • No-code integration using make.com automation modules
  • Al-assisted development reducing technical barriers
  • Scalable architecture supporting thousands of tracks
  • Real-time processing with 5-minute turnaround times

 

The Impact

“I’ve already had multiple members on my app successfully partner with production music libraries as a result of the accurate tags they’ve gotten from Cyanite. One being partnered with Extreme Music.“
– Jesse Josefsson

Within months of launch, SyncMatch users achieved concrete career milestones, including partnerships with industry-leading publishers. The platform transforms weeks of manual research into minutes of data-driven insights.

Measurable Results:

  • Multiple successful library partnerships, including Extreme Music (Hans Zimmer’s publisher)
  • Research time reduced from weeks to minutes
  • Thousands of tracks processed with industry-standard accuracy
  • Career-changing outcomes for music producers in the sync licensing space

Industry Validation:

“We‘re partnering with basically the sync licensing industry’s leader auto tagging model. SourceAudio has partnered with them, so you know that whatever tags are getting applied to your tracks are the industry standards right now.“
– Jesse Josefsson

Interested in learning more about how Cyanite’s API can power your music technology platform? Get in touch with our team to explore what’s possible when accuracy meets innovation.

Try tagging your own songs
Get a Demo

Further Reads: Cyanite’s Case Studies

Cyanite Advanced Search (API only)

Cyanite Advanced Search (API only)

by | Jul 15, 2025 | AI Analysis, Announcement, Resources

Last updated on March 6th, 2025 at 02:14 pm

Unlock the Power of Advanced Search – A Glimpse into the New Cyanite

We’re excited to introduce Advanced Search, the biggest upgrade to Similarity and Free Text Search since launch. With this release, we’re offering a sneak preview into the power of the new Cyanite system.

Advanced Search brings next-level precision, scalability, and usability – all designed to supercharge your discovery workflows. From advanced filtering to more nuanced query controls, this feature is built for music teams ready to move faster and smarter.

Advanced Search Feature Overview

  • Top Scoring Segments
  • Percentage Scores
  • Customer Metadata Pre-Filtering
  • Mulitple Search Inputs
  • Multilingual Prompt Translation
  • Up to 500 Search Results

🎯 Top Scoring Segments: Zoom in on the Best Parts

We’re not just showing you results, we’re showing you their strongest moments. Each track now highlights its Top Scoring Segments for both Similarity and Free Text queries. It’s an instant way to jump to the most relevant slice of content without scrubbing through an entire track.

🔢 Percentage Scores: Total Clarity, Total Control

Now each result comes with a clear percentage Score, helping you quickly evaluate how close a match really is – both for the overall track and for each Top Scoring Segment. It’s a critical UX improvement that helps users better understand and trust the search results at a glance.

🗂️ Customer Metadata Pre-filtering: Smarter Searches Start with Smarter Filters

Upload your own metadata to filter results before the search even begins. Want only pre-cleared tracks? Looking for music released after 2020? With Customer Metadata Pre-filtering, you can target exactly what you need, making your search dramatically more efficient.

🎶 Multiple Search Inputs for Playlist Magic

Whether you’re working with Library Tracks, Spotify IDs, or a mix of both, you can now use multiple search inputs in Similarity Search. This feature is perfect for automated playlist augmentation – feed in a few reference tracks and let the engine do the rest.

🌍 Multilingual Prompt Translation

Got a prompt in Japanese, Spanish, or Turkish? No problem. Our search engine now translates prompts from any language into English, so your creative ideas don’t get lost in translation. Say what you want, how you want – our engine will understand.

🌐 Up to 500 Search Results: Because More is More

Tired of hitting a ceiling with limited search returns? Now, Similarity Search and Free Text Search deliver up to 500 results giving you a much broader snapshot of what’s out there. Whether you’re refining a vibe or exploring diverse sonic textures, you’ll have a fuller landscape to work with.

API Docs - Advanced Search

Still on the previous version?

Advanced Search is available exclusively for v7-compliant users. Migrating now not only gives you access to this feature but unlocks the full potential of the new Cyanite architecture. It’s the perfect time to make the switch.

If you’re ready to upgrade or want to learn more about v7, click the button below – we’re here to help.

Let’s take discovery to the next level. Together.

 

Talk to us
The Evolution of Electronic Music (2022-2024) – AI Data Analysis with RA’s Top Tracks

The Evolution of Electronic Music (2022-2024) – AI Data Analysis with RA’s Top Tracks

by | Apr 2, 2025 | AI Analysis

Vincent

Vincent

Marketing Intern @ Cyanite

The landscape of electronic music is always changing due to artistic innovation, technological breakthroughs, and cultural trends. Resident Advisor’s Top Tracks of 2022, 2023, and 2024, were thoroughly evaluated by Cyanite’s AI, in an attempt to methodically examine these changes through a detailed AI Data Analysis.

Such analyses are valuable because they provide data-driven insights into listening behavior and musical trends, confirming or challenging existing assumptions. A good example for this is Cyanite’s Club Sounds Analysis, which examined trends in club music and uncovered clear patterns in tempo, energy, and emotional shifts over time. 

One of the most prominent examples of these Analysis is Spotify Wrapped – which has shown how data-backed insights about user listening habits generate interest and engagement, offering artists, labels, and listeners a deeper understanding of musical developments. Cyanite’s AI-driven approach brings the same level of clarity to the ever-evolving electronic music landscape, making implicit trends measurable and comparable over time.

Most importantly, Cyanite’s AI delivers an objective perspective on music, which opens a lot of possibilities for profound analysis. 

This data story finds notable changes in voice predominance, emotional tone, and genre diversity using Cyanite’s machine learning models that can differentiate between more than 2,500 genres and offer in-depth mood and compositional evaluations.

The findings indicate a progressive fragmentation of electronic music, an increasing integration of vocal elements, and a marked shift towards darker, more introspective moods.

1. Increasing Prominence of Vocals and the Decline of Instrumental Tracks

A notable trend observed in the analysis is the diminishing presence of instrumental compositions alongside an increase in male vocals.

  •  

Key Findings:

  • Male vocals have become increasingly prominent, suggesting a shift towards vocal-driven electronic music.

  • The overall balance between instrumental and vocal compositions has changed, with lyric-based narratives gaining a stronger foothold in the genre, while instrumental tracks have seen a significant decline between 2022 and 2024.

This trend suggests a convergence between electronic and vocal-centric musical styles, potentially influenced by developments in popular music consumption patterns and the growing demand for more emotionally direct musical expressions.

2. Mood Data Analysis: A Shift Toward Darker, More Introspective Compositions

Over the last three years, there has been a noticeable shift in the emotional terrain of electronic music. Cyanite’s AI-generated mood classifications show an increase in darker, more ambiguous emotional tones and a decline in upbeat and joyful musical elements.

Key Findings:

  • Reduction in the prevalence of “happy” and “uplifting” moods.

  • Growth in moods classified as “mysterious,” “weird,” and “strange”, reflecting an increasing tendency toward introspection and abstraction.

  • Energetic and determined moods remain stable, indicating continuity in the genre’s dynamic core.

These findings align with broader sociocultural shifts, where uncertainty, complexity, and experimentation are becoming more prominent themes in contemporary artistic expression.

3. Genre Expansion and Increased Diversification 

One of the most significant discoveries pertains to the increasing diversification of genre influences. Our AI, which is capable of differentiating between thousands of genres, has identified a 40% increase in distinct genre influences between 2023 and 2024.

This increased hybridization implies that the limits of electronic music are opening up more and more, allowing for the incorporation of non-traditional influences into the genre.

Key Findings:

  • Techno and house music are losing ground to more experimental subgenres.

  • Subgenres such as Breakbeat, IDM, and bass music have gained prominence.

  • Genres previously outside the electronic domain—such as indie pop, shoegaze, and noise pop—are increasingly integrated into electronic compositions.

This genre fragmentation suggests that electronic music is moving toward greater stylistic pluralism, potentially leading to a subcultural diversification within the broader electronic music ecosystem.

Implications for the Future of Electronic Music

These findings have significant implications for artists, producers, and industry professionals seeking to understand and anticipate the trajectory of electronic music.

Key Takeaways:

  • The integration of vocals into electronic music is increasing, signaling a shift away from purely instrumental compositions.
  • Mood expressions are evolving, with a growing emphasis on introspection, complexity, and abstraction.
  • Electronic music is becoming increasingly hybrid, incorporating elements from a diverse range of musical traditions.
  • The rate of subgenre fragmentation is increasing, which raises concerns about how electronic music communities and their consumers will develop in the future.

Future Research Directions

Given these findings, further research could explore:

  • The relationship between sociopolitical factors and musical mood shifts.
  • The extent to which AI-generated insights can predict future genre evolution.
  • How these trends correlate with streaming and consumption behaviors in digital music platforms.
Download Full Report as PDF

Tagging Beyond Music Discovery – A Strategic Tool

Beyond pure music discovery, this data story highlights how the importance of tagging and metadata analysis is expanding into strategic decision-making. As previously discussed in the Synchblog, structured tagging not only helps with search and recommendation but also shapes business strategies.

For example, one German music publisher used Cyanite’s insights to identify a critical gap in their catalog: While epic and cinematic music remains highly relevant for sync licensing, they had almost none of it in their repertoire. By shifting from gut feeling to data-driven content acquisition, they were able to adjust their catalog strategy accordingly.

AI Data Analysis for labels, publishers, and music libraries:

Data-driven insights generally provide a competitive advantage by optimizing key business areas:

  • Strategic Content Acquisition: Identify gaps in the catalog (e.g., missing genres or moods) and align acquisitions with data-driven demand trends.

     

  • Licensing & Sync Optimization: Prioritize metadata tagging to improve discoverability and match content to industry needs (e.g., film, gaming, advertising).

     

  • Market Positioning & Trend Monitoring: Track shifts in listener preferences, adjust marketing strategies, and ensure the catalog aligns with emerging industry trends.

     

  • A&R & Artist Development: Use genre and mood insights to guide signings and support artists in exploring high-demand styles.

These insights help catalog owners make informed, strategic decisions, replacing gut feeling with actionable market data.


Conclusion

Cyanite’s AI data analysis of Resident Advisor’s Top Tracks (2022–2024) provides compelling evidence of a rapidly evolving electronic music landscape. With vocals becoming increasingly integral, emotional expressions growing darker, and genre boundaries dissolving, the industry is entering a phase of heightened complexity and innovation.

For artists, labels, and curators, understanding these shifts is crucial for adapting to the changing demands of audiences and staying at the forefront of musical development.

By leveraging advanced AI-driven music analysis, we can gain deeper insights into the intricate mechanisms shaping the future of sound.

Book a free Demo
PR: DAACI and Cyanite Announce Strategic Collaboration

PR: DAACI and Cyanite Announce Strategic Collaboration

by | Feb 13, 2025 | Announcement, Company

Last updated on February 12h, 2025 at 05:14 pm

PRESS RELEASE

DAACI and Cyanite Announce Strategic Collaboration to Enhance AI-Driven Music Discovery and Adaptive Editing for the Sync Community

London/Berlin, February 12, 2025 – DAACI, a leader in adaptive AI music technology, and Cyanite, a pioneering provider of AI-powered music tagging and search solutions, are proud to announce a strategic partnership designed to advance the sync industry. Even Music Ally was reporting about it. The partnership aims to simplify creative sync by combining the task of finding the right song quickly with the delivery of perfectly edited music, cut directly to any video or gaming asset.

Connecting DAACI’s patented Natural Edits technology with Cyanite’s advanced tagging and search capabilities, this partnership offers an API-first approach to revolutionizing the workflows of music libraries, publishers, and sync platforms. These technologies allow platforms to streamline how sync professionals find, customize, and license tracks—all while ensuring seamless integration into existing infrastructures.

Natural Edits, part of DAACI’s Natural Series, enables platforms to offer their users customizable editing options for original tracks—such as looping background beds, precise cuts for specific narratives, or snippets for advertising. Coupled with Cyanite’s AI-driven tagging and search technology, platforms can empower their clients to efficiently discover and adapt music to meet a variety of creative briefs, from film and TV placements to advertising campaigns and gaming, reducing what was once a day-long process to a matter of minutes.

“Our partnership with DAACI is focused on enhancing what music platforms can offer to the sync community,” says Markus Schwarzer, CEO of Cyanite. “Through our API integration, we’re giving music libraries and publishers the ability to make music discovery and customization intuitive, scalable, and efficient for their clients. This is about enabling the industry to evolve while keeping workflows seamless.”

Dr. Joe Lyske, Co-founder of DAACI, adds, “The sync ecosystem thrives on innovation, and our partnership with Cyanite ensures that music platforms can adapt to the changing needs of their clients. With Natural Edits and Cyanite’s tagging and search capabilities, we’re providing music libraries and sync platforms with tools to unlock the full potential of their catalogs, offering tailored solutions for professionals in the field.”

“We’re excited to see this new collaboration between DAACI and Cyanite bring AI-driven music discovery and adaptive editing to the forefront,” said Jeff Perkins, CEO of Soundstripe, a client of both DAACI and Cyanite. “We’re always looking for ways to help content creators move faster while ensuring they have access to the highest-quality music. This partnership makes it even easier for our users to find and customize the perfect track in record time.”

This collaboration signifies a pivotal moment for the sync industry, where advanced AI capabilities are integrated directly into the platforms relied upon by sync professionals. By bridging music discovery and adaptive editing through API-driven solutions, DAACI and Cyanite are equipping the sync industry with the tools it needs to stay competitive and impactful.

ENDS

About DAACI:

DAACI develops next-gen smart and AI creative music tools.

Our series of patented technologies empower music makers to meet the rapidly growing demand for personalised music. Our technologies encompass tools that supercharge the creative process dynamically composing new music in real-time, and smart editing systems that seamlessly adapt existing tracks. Built by a world-class team of musicians and composers, DAACI’s technology is based on over 30 years of research. Incorporating a growing portfolio of 79 granted patents and supported by partnerships with the UKRI Centre for Doctoral Training in Artificial Intelligence and Music at Queen Mary University of London and the innovative Abbey Road Red incubator, DAACI is the go-to solution for creators who make and use music. With our series of pioneering plugins and tools, creators can benefit from our unique approach and our understanding of deep music theory, giving them multiple lifetimes’ worth of musical experience at their fingertips. For more information on DAACI: https://www.daacigroup.com

About Cyanite:

Cyanite helps music companies transform their catalogs into personalized, AI-powered music libraries with advanced search and recommendation features. Based in Mannheim and Berlin, Germany, Cyanite develops software that enables efficient keywording and music discovery for the entertainment and advertising industries. Trusted by leading companies like BMG, Epidemic Sound, and Warner Chappell, Cyanite offers API and no-code solutions to streamline music organization and discovery. Recognized with the VIA 2023 Award for Best New Music Business, Cyanite aims to become the universal intelligence that understands, connects, and recommends music globally.

Press Contacts:

Gemma Robinson

OLEX Communications

gemma@olexcommunications.co.uk

+44 7854 813 153

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