Solved: 7 Viral Songs People Are Asking "Who Sings The Song?" In 2025

The universal frustration of having a song stuck in your head—a catchy beat or a single line of lyric—but being unable to name the artist is a modern epidemic. In the digital age, where music is consumed across countless platforms, identifying a track is harder than ever, thanks to viral trends, remixes, and decades-old songs experiencing massive resurgences. As of December 2025, the question "Who sings the song?" is trending, often driven by short-form video platforms that turn obscure tracks into global phenomena overnight.

The quest for the artist is no longer just about new releases; it's about navigating a complex landscape of soundbites, AI-generated tracks, and deep-cut samples. This article dives into the most-searched songs right now and provides the definitive guide to solving your musical mysteries, ensuring you never have to ask "Who sings that?" again.

The 5 Most Asked "Who Sings the Song" Questions Right Now (2025 Viral Case Studies)

The music landscape of 2025 is defined by two extremes: brand-new chart-toppers and decades-old tracks resurrected by social media. Here are the artists behind the songs currently driving the most curiosity and search traffic.

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1. Billie Eilish's Introspective Hit: "WILDFLOWER"

One of the most immediate and intense searches following its release was for the artist behind "WILDFLOWER." The song is a track by American singer-songwriter Billie Eilish.

• Artist: Billie Eilish
• Album: Hit Me Hard and Soft (2024)
• Context: The song immediately sparked intense fan speculation due to its deeply personal and confessional lyrics. Eilish herself stated the track is about "breaking girl code." Many fans believe it addresses her feelings about dating The Neighborhood frontman Jesse Rutherford after his relationship with Devon Lee Carlson. The blend of a new sound and raw lyrical content makes it a constant search query.

2. The 1962 Resurgence: "Pretty Little Baby"

In a stunning display of TikTok's power, a song released over six decades ago became one of the most-searched tracks of 2025. The song "Pretty Little Baby" is sung by the legendary pop pioneer Connie Francis.

• Artist: Connie Francis
• Release Year: 1962
• Context: The obscure 1962 ballad went massively viral, appearing in over 17 million videos and generating over 45 billion views on TikTok. Francis, now 87, was so overwhelmed by the song's global resurgence that she joined the platform to thank her new audience. This case perfectly illustrates how a song can be unknown to a new generation, leading to an urgent "who sings the song" search.

3. The Viral Dance Anthem: "Chanel"

South African singer Tyla, already a global sensation with her hit "Water," drove a new wave of searches with her track "Chanel."

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• Artist: Tyla
• Context: "Chanel" quickly became the soundtrack to a challenging dance trend on social media, often inspired by figures like Kylie Jenner. While it remains less popular than "Water" on platforms like Spotify, its highly recognizable beat and infectious danceability made it a constant "who sings this viral sound" query. The track was originally intended for Tyla's second extended play, WWP.

4. The Remix Mystery: "Spooky, Scary Skeletons (House VIP Remix)"

During the latter half of the year, especially around the holidays, a specific remix of a seasonal track dominated the charts. The "Spooky, Scary Skeletons (House VIP Remix)" that led the Metricool top TikTok songs list is by Crystal Knives & Lex Allen.

This is a classic example of a "remix mystery," where the original artist is often mistaken for the producer who created the viral version. The original track, "Spooky, Scary Skeletons," was composed by Andrew Gold in 1996.

5. The AI-Generated Puzzle: "We Are Charlie Kirk"

A new and challenging category of search is the AI-generated track. The song "We Are Charlie Kirk" went viral and topped the Spotify Viral Songs chart, but it was not sung by a traditional artist.

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The track is an AI-generated song, part of a growing trend where music is created using algorithms to mimic human singers, often in the style of existing artists like Ed Sheeran, Taylor Swift, or Eminem. This phenomenon is forcing listeners to not only ask "who sings the song" but also "is this song even real?"

The Modern Toolkit: 7 Ways to Identify Any Track (Even Without Lyrics)

The days of frantically typing half-remembered lyrics into Google Search are over. Today’s music identification landscape offers sophisticated tools that can identify a song from a hum, a whistle, or just a few seconds of audio.

1. Shazam: The Original Powerhouse

Acquired by Apple, Shazam remains the gold standard for identifying music playing around you. Its AI technology analyzes the sound's unique acoustic fingerprint and cross-references it with a massive database of songs. It is available on iOS, Android, and the web.

2. SoundHound: The Humming Expert

SoundHound is a powerful alternative to Shazam, but its unique selling point is its ability to identify music when you sing or hum a melody into your phone. This is invaluable for those moments when you only have the tune, not the words.

3. Google's "Hum to Search"

Built directly into the Google Search app, the "Hum to Search" feature allows you to hum, whistle, or sing a tune for 10-15 seconds. Google's machine learning algorithm analyzes the melody's "fingerprint" and returns a list of potential matches, making it one of the easiest ways to find a song without a third-party app.

4. Lyrics Search (The Old Reliable)

If you catch even a short phrase, a simple Google search of the lyrics in quotation marks (e.g., "she was cryin' in my shoulder") will almost certainly lead you to the song title and artist, such as Billie Eilish's "WILDFLOWER."

5. AI Song Detectors and Music Analytics Tools

For industry professionals, or those trying to identify AI-generated music, advanced tools are emerging. Believe's AI Radar and other AI song detectors use complex models to analyze a track's authenticity and source. Tools like Soundcharts also track new songs and artists across various radio and streaming charts, providing deep music analytics.

Why Finding the Artist is More Complicated Than Ever

The difficulty in answering "Who sings the song?" stems from the fragmented and constantly evolving nature of modern music consumption. Topical authority in music identification requires understanding these complexities.

The Rise of Viral Sound Bites and Samples

A song doesn't need to be a full track to go viral. Often, a 15-second sound clip, a meme-worthy audio track, or a heavily sampled hook is what people hear. This leads to searches for the sound's creator, not the original artist. For instance, the viral "take me to Chanel" sound led to confusion between Tyla's song and a viral shopping experience by Yung Miami.

Covers, Remixes, and Mashups

The sheer volume of remixes and covers on platforms like YouTube and SoundCloud can make identifying the original artist a nightmare. The "Spooky, Scary Skeletons" example is a perfect illustration: the viral version is a House VIP Remix, not the 1996 original. Always look for the word "Remix," "Cover," or "Feat." (featuring) in the title to find the primary artist.

The Problem of AI and Deepfakes

AI music generation is the newest threat to music identification. When a track like "We Are Charlie Kirk" or a deepfake song mimicking Celine Dion or Lady Gaga goes viral, the "singer" doesn't exist. This requires new AI song detector tools to verify authenticity, adding a layer of complexity to the search for the artist.

From a 1962 pop ballad to a 2024 pop-punk-inspired track, the quest to find "who sings the song" is a journey through music history and modern technology. By leveraging the latest tools and understanding the context of viral trends, you can quickly move from frustrated humming to informed listening, finally solving the mystery of that earworm.