Describe the personality of your podcast, channel or stream and get an original tune built around it, with or without vocals. Try a few moods, keep the one that sounds like you, and trim it to the length your intro actually needs.
A good theme song does one job: within a few seconds, people know whose show they are watching. Big productions pay composers for that. Smaller podcasts, channels and streams usually settle for a stock loop that a hundred other creators also picked. An AI music model gives you a third option: describe the personality of your show, get an original tune with its own melody, and keep refining it until it sounds like yours.
Sound is the cheapest way to build recognition and the one most small creators skip. A viewer may not remember your thumbnail style, but a four-note hook they heard at the start of twenty episodes sticks. The same tune also tells a new listener what to expect: a bouncy synth riff promises a different show than a slow piano line does.
The usual alternatives each have a catch. Stock libraries are fast, but the same tracks turn up everywhere and the licence terms vary from site to site. A freelance composer gives you something truly yours, at a cost and a timeline that does not fit a show you are still testing. With the music models on Picasso IA you describe the feel in a sentence or two and listen to a finished take, so trying six moods costs minutes rather than a commission.
Two models in the catalog suit this job. Music 2.6 (music-2.6) turns a text prompt into a full song with vocals, takes your own lyrics with structure tags, and has an instrumental switch. Lyria 3 Pro (lyria-3-pro) builds structured songs from a prompt, accepts time-coded instructions, and can take up to ten reference images to steer the mood. Both sit among the 10 AI music models in a catalog of 502, and you can browse the rest in the full model list.
Not every theme song is the same animal. A podcast opener, a stream starting screen and a series title sequence each want different things from the music, so decide the job before you write the prompt. The table below pairs the common cases with what to ask for.
| Use | What to ask for | Model to try first |
|---|---|---|
| Podcast opener | Warm, conversational mood, a clear hook, instrumental so your voice can sit on top | music-2.6 with the instrumental switch on |
| YouTube channel sting | One memorable melodic phrase, punchy ending, no long intro | music-2.6, then trim the best bar |
| Stream starting screen | A loopable, steady groove that can run while chat fills up | lyria-3-pro with a simple verse and chorus layout |
| Series or show opening | A sung chorus about the premise, built from lyrics you wrote | music-2.6 with your lyrics and structure tags |
| Game or app title music | A mood-first score, optionally steered by key art as reference images | lyria-3-pro with reference images |
A theme usually needs only a short slice of what these models produce. They return full songs, so the practical workflow is to generate a whole track, find the strongest few seconds, and cut that section in any audio or video editor. If you want longer background beds for the rest of the episode, the same approach covers background music for videos.
The prompt is where a generic tune becomes yours. Start with the show, not the genre: who is it for, what is the tone, what should a listener feel in the first five seconds. Then translate that into musical terms the model can use: genre, tempo, lead instrument, mood and energy.
A weak prompt says upbeat podcast music. A stronger one says playful indie pop, 110 BPM, bright plucked guitar and handclaps, a short melodic hook that repeats, friendly and curious, for a show about weekend woodworking. Notice what the second one carries: a feel, an instrument, a tempo and a subject, none of which names another artist or song.
If you want vocals, write the lyrics yourself. Two or four short lines about your show, repeated as a chorus, make a better theme than a long verse. Mark the sections with tags such as [Verse] and [Chorus] and keep the words simple enough to be sung clearly. You can also leave the lyrics empty and let the model write some from your style prompt, then edit the result.
Describe the mood and instruments, never another song. A prompt that asks for something that sounds like a specific hit pulls the result toward that hit, and a theme that borrows a famous melody is a problem for your show, not a shortcut.
Change one thing at a time between takes. Swap the lead instrument, then the tempo, then the mood. When a version lands, note which words produced it so you can reuse them for a matching outro or an episode variant later.
You need a description of your show and a few minutes. The goal is a finished audio file trimmed to your intro length, not a folder of almost-right tracks.
If you are building a full opening with motion graphics, the logo animations and intros page covers the visual half, and a very short branded sound belongs to the jingle maker workflow.
A theme song only works as an identity if it is not someone else's. The first rule is the one in the tip above: describe styles, instruments and moods, and leave out artist names, song titles and lyrics from existing songs. The second is to listen to what comes back with that same suspicion. If a melody sounds familiar, regenerate rather than hoping nobody notices.
Voices need the same care. If you use vocals, they are generated singing, not a recording of anyone. Do not prompt for the voice of a real singer, and do not set up a track to imitate a particular recognizable person. For a theme with your own voice or a character's voice, the voice cloning page explains what is appropriate, and the short version is that you use only voices you own or have permission to use.
Rights are the part to check yourself. The terms for generated audio depend on the model and on where you live, and the law around machine-made music is still settling. Read the licence information that applies to your account, and check your platform's current requirements before you publish: YouTube, Twitch, Spotify and podcast hosts each have their own rules about music and claims. This page is general information, not legal advice. For a show that earns real money, have someone qualified review the rights question.
A theme song is a small piece of music that people hear hundreds of times, so its weak spots show quickly. These are the limits worth knowing before you commit to one.
None of this means skipping the tool. It means treating the output as a strong first draft that you choose, cut and test, not a finished identity you accept as it arrives.
It can generate an original tune from a description of your show, with or without vocals, and that tune can serve as your theme. What it cannot do is know your audience, so you still choose the take, judge the hook and decide whether it fits. Treat it as a fast way to audition many ideas, then pick one on purpose.
Start with music-2.6 if you want to write your own lyrics, use structure tags or switch on an instrumental take, which suits most podcast and channel intros. Try lyria-3-pro when you want to lay out sections with time codes, or steer the mood with reference images such as your cover art. Running the same description through both is a fair test.
Yes. Music 2.6 has an instrumental switch, and with Lyria 3 Pro you can state in the prompt that the track is instrumental only. An instrumental theme is usually the better pick for a podcast, because your own voice can sit on top without fighting a sung line. Save sung versions for an opening where the lyrics are part of the identity.
The models return full tracks rather than ten-second stings, and Lyria 3 Pro can go up to about three minutes. For a theme you normally cut the strongest few seconds, or half a minute for a bigger opening, in an editor. Decide the length your intro needs first, then look for that slice inside the track you generated.
Yes, and it often makes the theme more distinctive. Music 2.6 takes your lyrics with tags such as [Verse] and [Chorus], and Lyria 3 Pro reads lyrics written into the prompt. Keep them short and singable, repeat the chorus, and listen to every word of the result, since sung text can come out slightly unclear.
Describe genre, tempo, instruments and mood, and never name a song or an artist in the prompt. Then listen critically to what you get. If a melody feels familiar, regenerate with different instruments or a different key rather than keeping it. A theme that echoes a famous tune is a risk to your channel, so the safest habit is to treat familiarity as a reason to try again.
Platform and licence rules decide this, and they change, so check your account's terms for generated audio and each platform's current requirements before you publish. Keep the original file and the prompt that created it, so you can show how the track was made if a question comes up. For a monetized show, ask someone qualified to review the rights.
Do not try. Asking for a real artist's sound risks a soundalike, and asking for a real person's voice is not something to do without that person's permission. Describe the style instead, such as warm acoustic folk with a steady stomp and a whistled hook, and you will get something that is yours and safer to put at the start of every episode.
With Lyria 3 Pro, yes. It accepts up to ten reference images, so key art, a channel banner or a photo of your setting can shape the mood of the track. It works best alongside a written prompt that states genre and tempo, because the images steer the atmosphere but do not decide the style by themselves.
Each generation uses credits, and the cost depends on the model and settings you choose, so a number written here would go out of date. New accounts get free credits, which is enough to audition a few moods. Current plan details are on the pricing page, the only place worth trusting for figures.
Ready to hear how your show sounds? Open the Picasso IA toolkit, describe it in a sentence, and audition your first three takes.
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