Songhunt

Describe a mood, hum a reference, or upload a clip and let AI dig out matching songs

Beginner
Screenshot of Songhunt, Describe a mood, hum a reference, or upload a clip and let AI dig out matching songs

What is Songhunt?

Songhunt is an AI song search engine that turns plain-language briefs, reference tracks, images and videos into song matches, backed by filters for mood, genre, era, lyrics and instrumentation. It suits playlist curators, music supervisors and listeners who want discovery driven by intent rather than by existing charts.

Songhunt is an AI song search engine built around the way people actually talk about music. Instead of guessing at the right keyword or scrolling through genre lists, you describe what you want in plain language: a feel, a lyric theme, a reference track, even an era. The engine reads that intent and returns songs that fit, drawing on a wide catalogue of listening behaviour and song metadata rather than simple title matching. The search box accepts several kinds of input. You can type a text description, a song title, or an artist name, or you can upload an image or video and ask Songhunt to find music that matches the visual mood. Underneath sits a filter panel with more than a dozen dimensions, including popularity, decade, vocal gender, genre and sub-genre, mood, sound, instruments, lyrical theme, lyrical mood, writing style, harmony and melody. That combination of natural language and structured filters is what separates it from a plain search bar inside a streaming service, where discovery usually depends on what an algorithm already decided to surface for you. The homepage makes the intended use obvious. Example prompts cover very specific briefs: cheerful summer songs, funk in the vein of the Bee Gees, low-pitched fifties rock and roll, hip hop about fitness, tracks that contain a particular word, contemporary writers who sound like Leonard Cohen. This is a tool for people who arrive with a half-formed idea and need a shortlist, whether that is a playlist curator, a DJ, a music supervisor, a content creator scoring a video, or a listener who is tired of the same recommendations. Songhunt fits in the discovery and curation layer rather than the playback layer. It is a place to search and shortlist, not a full streaming library or a production tool. Search by description and visual input both centre on mood and texture, and the metadata filters let you tighten a loose brief into something usable. If your existing tools give you popular tracks and chart adjacency, Songhunt aims at the long tail of intent: songs about a topic, songs that feel a certain way, songs that resemble a reference without copying it.

How do you use Songhunt?

  1. 1Open Songhunt and sign in
    Go to the Songhunt page and use the Log In option in the top navigation to create or access your account. Search features sit behind login.
  2. 2Pick a search mode
    Choose text search or the AI song search mode for image and video uploads. Text search accepts a description, a song title, or an artist name.
  3. 3Write a specific brief
    Describe the song you are after in plain language. Use the homepage examples as a model: mood plus topic, a reference track, or a lyrical constraint such as a word that must appear.
  4. 4Tighten results with metadata filters
    Open the filter panel and narrow by decade, genre, sub-genre, mood, instruments, lyrical theme, writing style, harmony or melody. Start loose and add filters as needed.
  5. 5Upload a visual reference
    If the brief is hard to put into words, upload an image or video in the AI song search mode and let Songhunt suggest songs that fit the visual.
  6. 6Save the shortlist
    Review the returned tracks and note the ones that fit. If a song or artist is missing from the catalogue, use the add it here link on the search page to flag it.

Pros and cons

Pros

  • Accepts a wide range of prompts, from text descriptions and reference songs to uploaded images and videoAI
  • Filters go deep on musical detail, covering mood, instruments, lyrical theme, melody, harmony and writing styleAI
  • Example briefs on the homepage show realistic, narrow use cases rather than generic genre browsingAI
  • Handles requests that keyword search cannot, such as tracks containing a specific word or artists who write like another artistAI
  • Useful for both quick one-off searches and building out a themed playlist shortlistAI

Cons

  • The homepage does not state how large the searchable catalogue is, so it is unclear whether niche or regional music is coveredAI
  • No pricing information is published on the page, leaving cost and free usage limits unknown before signupAI
  • Visual search by image or video is described but there is no detail on accuracy or how the match is madeAI
  • You must log in, so there is no way to test result quality before creating an accountAI
  • Results are for discovery only; playback and library management are not part of the productAI

How much does Songhunt cost?

Features

Search by natural language description, song title or artist name, or upload an image or video to find matching songs. A metadata panel filters results by popularity, decade, vocal gender, genre, sub-genre, mood, sound, instruments, lyrical theme, lyrical mood, writing style, harmony and melody. A missing song or artist can be submitted for addition.

Frequently asked questions about Songhunt

  • How do you use Songhunt?
    The walkthrough on this page covers 6 steps: 1. Open Songhunt and sign in 2. Pick a search mode 3. Write a specific brief 4. Tighten results with metadata filters 5. Upload a visual reference 6. Save the shortlist.
  • What platforms does Songhunt support?
    Songhunt is available on Web App.
  • What are the limitations of Songhunt?
    The homepage does not state how large the searchable catalogue is, so it is unclear whether niche or regional music is covered. No pricing information is published on the page, leaving cost and free usage limits unknown before signup. Visual search by image or video is described but there is no detail on accuracy or how the match is made.

Status

StatusActive
Views0
Outbound clicks0
Added10/21/2026

Platforms

Web App

Pricing

Free