I turned my text messages into a song with Suno and now my dinner plans sound like a pop duet | Tech Radar

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I turned my text messages into a song with Suno and now my dinner plans sound like a pop duet

How you can follow the Tik Tok trend, setting text conversations to music

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The week an AI-generated song climbed to number one on i Tunes. Despite the legitimate concerns surrounding how AI models produce music, there's no denying its current popularity. Tools like Suno can build a track that outcompetes plenty of other music. And on the more populist side of the charts, AI-generated music is taking over Tik Tok right now through people transforming their text messages into songs.

You take a real conversation, something casual and unpolished, paste it into Suno, with an optional note about what kind of song you want. The tool handles everything else. It decides what lines should repeat, where the chorus goes, how the vocals should sound, and what kind of music fits the tone. It even expands on the actual text messages for more musical coherence.

@baidaugh Food, money, WHERE ARE YOU MOM?! ♬ original sound - bailey daugh

The easiest way to start is to use a conversation that already has a bit of rhythm baked into it. Mine was a back-and-forth about dinner and a movie with my wife. It was a simple chat about wanting to order in because it was cold, and her picking her favorite rewatch movie because she was tired from a long week. Not scintillating, just a normal chat. I pasted it into Suno, and that changed.

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Without any other direction from me, I suddenly had a poppy duet with extra lines that were not in the text exchange but were definitely the kind of things that might have appeared in it. The two voices turned the natural back-and-forth into a call-and-response structure and built a chorus out of the decision to go with sushi.

While you could tell the voices were AI if you paid attention, it would be hard to distinguish them from just good autotune. The whole thing had the kind of structure you would expect from a deliberately written song. None of that existed in the original messages. It was all inferred.

If you want to shape the result more deliberately, there are a few simple adjustments that help. Keeping lines short makes it easier for the system to assign rhythm. Repeating key phrases increases the chance they become a chorus. Being specific about the format, like asking for a duet, gives the AI a clearer framework to work within.

You can also regenerate the same input multiple times. Each version will interpret the tone a little differently. One pass might lean more playful, another slightly more sentimental.

This is a big part of why the trend works so well on Tik Tok. The transformation is immediate and easy to grasp. You recognize the original conversation, then hear it reframed.

The timing matters too. AI music tools have reached a point where the output feels finished. That same underlying quality is what allowed an AI-assisted track to climb the charts in the first place. At a smaller scale, it means your own messages can be turned into something that sounds complete without much effort.

The song I ended up with is not something I would confuse with a chart hit. It is a little repetitive, and the lyrics still carry the casual tone of the original messages. At the same time, it is undeniably a song. It has structure, energy, and a chorus that sticks more than it should.

The strangest part is how little distance there is between the original conversation and the finished track. A few lines about sushi and a familiar movie turned into something that sounds like it belongs on a playlist.

In a moment where AI-generated music is already proving it can compete at the highest level, this smaller version of the same idea feels less like a joke and more like a glimpse of how creative tools are changing.

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Eric Hal Schwartz is a freelance writer for Tech Radar with more than 15 years of experience covering the intersection of the world and technology. For the last five years, he served as head writer for Voicebot.ai and was on the leading edge of reporting on generative AI and large language models. He's since become an expert on the products of generative AI models, such as Open AI’s Chat GPT, Anthropic’s Claude, Google Gemini, and every other synthetic media tool. His experience runs the gamut of media, including print, digital, broadcast, and live events. Now, he's continuing to tell the stories people want and need to hear about the rapidly evolving AI space and its impact on their lives. Eric is based in New York City.

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• I turned my text messages into a song with Suno and now my dinner plans sound like a pop duet

• How you can follow the Tik Tok trend, setting text conversations to music