Synthetic audio has a characteristic failure: it is technically clean and completely lifeless. That is almost never the model's fault. It is a script problem and a mixing problem, and both are fixable without touching the tools.
This is a practical workflow using two tools already on this site — Suno (8.0) for music and ElevenLabs (7.3) for voice.
Start with the script, because the voice will expose it
A human narrator silently repairs bad writing. They pause where a sentence runs long, add emphasis where the text is flat, and rescue a clumsy transition with intonation. Synthetic voice does none of that — it reads exactly what you wrote, which makes weak writing audible.
Read the script aloud before it goes near a model. Anything you stumble on, the model will stumble on differently and worse. Short sentences. One idea per sentence. Punctuation where you want a breath.
Voice: use ElevenLabs where the delivery matters
ElevenLabs is the stronger pick when naturalness carries the content — narration someone chooses to listen to, character work, anything where a flat read loses the audience in the first fifteen seconds.
Generate in segments rather than one long take. Long generations drift, and a single bad word means regenerating everything. Segment by paragraph, keep the good takes, and assemble.
On voice cloning: decide who is allowed to be cloned before you build a workflow around it. That is a consent question and a policy decision, not a settings toggle, and it is much easier to answer before you have a library of assets depending on the answer.
Music: use Suno for beds, not for the hook
Suno scores 8.0 and is genuinely good for quick exploration — mood sketches, demo tracks, social audio, and background beds. It is best treated as source material rather than a finished master.
For a background bed under narration, that is exactly enough. Generate several options at the mood you want, pick one with a stable texture and no distracting melodic movement, and let it sit low.
What it is not good for is the piece of music that people are supposed to notice. If the music is the product, this is a starting point for a human, not a replacement for one.
Assembly: the two decisions that matter
Levels first. A music bed under speech wants to be far quieter than instinct suggests — quiet enough that you stop noticing it, which is the point. If listeners can hum along, it is too loud.
Second, leave silence. Synthetic speech tends to arrive evenly paced with no room to breathe, and the fix is in the edit, not the prompt: add real pauses at section boundaries. A half-second of nothing does more for listenability than any voice setting.
Where this workflow does not belong
Anything where a listener would feel deceived to learn the voice was synthetic. That is a judgement call about your audience, but the safe rule is disclosure when the voice is presented as a person rather than as narration.
Also skip it for short, high-stakes audio — a thirty-second brand spot is not where you save money. The economics of synthetic audio work on volume: many modules, many languages, frequent updates.