AI Podcast Intro & Jingle Builder

Build music and voice prompts for AI-generated podcast intros and outros

Structured builder for AI podcast intros and outros. Generates a Suno or Udio jingle prompt, an ElevenLabs host voice direction, a second-by-second timing plan, and an assembly workflow for your episode opener. It runs free in your browser on Gera Tools, with nothing uploaded.

Last updated Source: Gera Tools

Which tools does this builder target?

It writes a music prompt for Suno or Udio to generate the jingle bed, and a voice-direction prompt for ElevenLabs to narrate the spoken hook. The timing plan then tells you how to layer them in any audio editor.

AI podcast intro and jingle builder

A polished podcast opener is two ingredients layered together: a short music jingle and a spoken hook. AI tools make both fast — Suno or Udio for the music bed, ElevenLabs for the voiceover — but the hard part is getting them to match in tone and fit a tight timing window. This builder writes both prompts and a timing plan from one set of inputs so the pieces line up.

How it works

You choose a genre, a tone, a duration, and a host voice style. The tool produces three outputs: a music prompt describing an instrumental bed of the right length and energy, a voice-direction prompt telling ElevenLabs how to deliver the hook, and a second-by-second timing plan that splits your duration into a music intro, the spoken line, and a closing swell. You generate each asset in its tool, then layer them in any editor following the plan.

Why the timing plan matters

The reason podcast intros feel either professional or amateur usually comes down to how the music and voice interact, and that is almost entirely a timing question. Without a plan, the most common failure is that the spoken line starts too early, before the music has established the mood, or that the music cuts out awkwardly exactly when the host begins to speak, rather than being ducked smoothly under the voice.

A typical 10-second intro plan might look like this (for illustration):

TimeWhat happens
0 – 2 sMusic plays at full volume to establish energy and genre
2 – 7 sMusic ducks 8 dB; host speaks the show hook line
7 – 10 sMusic swells back to full volume and fades out

The builder produces a plan scaled to whatever duration you set, with the specific dB recommendation for the music duck based on the voice style you chose. A warm, quiet narration style needs a deeper duck than an energetic high-tempo host line.

Matching tone to genre

Podcast genres have established sonic expectations that listeners have developed over years of listening. Surprising those expectations is not automatically bad, but departing from them without intention reads as amateur rather than distinctive. Some genre-tone pairings that work well:

  • True crime — tension, minor keys, sparse instrumentation, slow builds. Urgency in the voice, not brightness.
  • Interview and conversation — clean, warm, mid-tempo. Nothing that distracts from the expectation of human speech coming immediately after.
  • Business and finance — confident, corporate, upbeat but not frivolous. A piano or strings bed tends to sit better than electronic sounds.
  • Comedy — playful, upbeat, quick. The music should signal “fun” within the first second, which means higher tempo and a major key.
  • Narrative storytelling — cinematic, building, often starting quiet. The music carries more storytelling weight than in conversational formats.

Tips for a sharper opener

  • Keep it under 15 seconds. Listeners decide fast; a long intro is the most common reason people skip to the content.
  • Duck the music under the voice. Drop the jingle 6 to 10 dB while the host line plays, then bring it back up for the swell — the timing plan marks where.
  • Match energy to genre. A true-crime show wants tension and minor tones; a business show wants clean, confident, mid-tempo beds.
  • Save your stems. Keep the music and voice as separate files so you can re-mix or shorten the intro later without regenerating everything.
  • Generate several music variations. AI music tools produce different results on each run. Generate three or four variations from the same prompt and choose the one that best fits the show’s energy.