How to Make an AI Voiceover Sound Human
Make your AI voiceover sound human: pick the right voice, write for the ear, use punctuation for pauses, set pacing, fix pronunciation and mix to -14 LUFS.
AI voices have gotten very good. The best text-to-speech models breathe, vary their pitch and handle emotion in ways that would have sounded impossible a few years ago. And yet plenty of AI voiceovers still sound like AI voiceovers.
The reason is rarely the voice itself. It’s what you feed it and what you do with the audio afterward. A human narrator would push back on a clunky script, take a breath before the important line and sit at the right level under the music. An AI voice won’t do any of that unless you set it up to.
Here’s how to close the gap, step by step.
How do you choose the right AI voice?
Start with the audience and the tone, not the voice you personally like best.
- Match the voice to the content. A calm, low voice suits history, wellness and documentary topics. A brighter, quicker voice suits product tips and hype-style shorts. A warm, mid-range voice is the safest choice for small business explainers.
- Audition with your real script. Every voice sounds good reading its own demo line. Paste in your hook and your hardest sentence, the one with a brand name or number, and listen to how each voice handles it.
- Listen on a phone speaker. Most short-form video is heard through small speakers or cheap earbuds. A voice with rich low end can turn muddy there.
- Stay consistent. If you run a channel or a series, pick one voice and keep it. Viewers come to recognize it, the way they’d recognize a host.
Etchly’s AI voiceover uses ElevenLabs voices, with hundreds to choose from, and saves your pick in a style preset so every video in a series sounds the same.
How do you write a script for the ear?
This is the biggest single improvement you can make. Text written to be read and text written to be heard are different things.
- Use short sentences. If you can’t say it in one breath, split it.
- Use contractions. “You’ll” and “it’s,” not “you will” and “it is.” People talk in contractions.
- Put the point first. “Your savings are leaking, and here’s where” works better spoken than “Here is an explanation of where your savings may be leaking.”
- Avoid stacked clauses. “The bakery, which opened in 1998 and which is now run by the founder’s daughter, who trained in Lyon, …” loses the listener by the third comma.
- Write numbers the way you’d say them. “About fifteen hundred dollars” is easier to hear than “$1,487.32.”
- Repeat key words. On the page, repetition looks lazy. In audio, it helps people keep up.
Read your script out loud before generating anything. Anywhere you stumble, the AI voice will likely sound off too. For more on structure, see our guide to hook formulas that stop the scroll.
How does punctuation control pauses?
Text-to-speech models read punctuation as performance directions. Use that.
| Punctuation | What it usually does | Use it for |
|---|---|---|
| Comma | A short breath | Separating ideas within a sentence |
| Period | A full stop, with pitch falling | Ending a thought with confidence |
| Ellipsis (…) | A longer, trailing pause | Suspense, hesitation or a setup before a reveal |
| Question mark | Rising pitch | Real questions, and hooks phrased as questions |
| Em dash or colon | A beat before what follows | Setting up a punchline or a list |
| Line break or new paragraph | A longer reset | Moving between sections |
A few practical tricks:
- Add a period where you want emphasis. “This changes everything” reads flat. “This. Changes. Everything.” reads with weight, though use it sparingly.
- Break up long lists. “Flour, water, salt and time” spoken in one breath sounds rushed. Separate sentences for each item slow it down when you want it slow.
- Don’t over-punctuate. Ellipses everywhere make the narrator sound unsure. Save them for the moments that need them.
Results vary by voice and model, so test a short passage before generating the whole script.
What pace should an AI voiceover be?
Pacing is easiest to think about in words per second. These are good starting points:
- Slow, about 2.2 words per second: calm, reflective, documentary or wellness content.
- Natural, about 2.55 words per second: most explainers, tutorials and business videos.
- Fast, about 2.9 words per second: energetic shorts, countdowns and hype content.
Above roughly 3 words per second, most listeners start to miss things, especially if they’re also reading captions. Below 2, it can drag unless the visuals carry a lot.
Use the pace to set your word budget. A 60-second video at a natural pace holds about 150 words. If your script is 200 words, speeding the voice up won’t help. Cut the script.
One catch: every voice has its own natural speed, so “natural” for one voice is quicker or slower for another. Etchly’s pacing learns each voice’s real speed and adjusts the word budget to match, so a 60-second target actually lands near 60 seconds.
How do you fix pronunciation of names and brands?
Nothing breaks the spell faster than a mispronounced brand name or a local street said wrong.
- Spell it the way it sounds. If “Nguyen” comes out wrong, try “Win.” If your bakery is “Pain Doré,” try “Pan Doh-ray.” Phonetic respelling works surprisingly well.
- Add hyphens to split syllables. “Etch-lee” or “Sea-dance” can steer stress and spacing.
- Check acronyms. Decide whether it’s said as letters (“S-E-O”) or as a word (“NASA”), and write it that way.
- Use the tool’s pronunciation features if it has them. Some text-to-speech platforms support pronunciation dictionaries or phonetic tags. These are worth setting up for names you use in every video.
- Listen to every proper noun. Don’t assume. Scrub to each one and check it.
Keep a small list of respellings for your brand, products and recurring names, and reuse it in every script.
What is silence tightening, and why does it help?
AI voices sometimes leave gaps that are slightly too long: after a sentence, before a quote, between paragraphs. One long pause isn’t noticeable. Twenty of them add seconds of dead air and make the read feel slack.
Silence tightening trims those gaps to a consistent, natural length. Good tightening keeps intentional pauses, like the beat before a reveal, while removing accidental ones. In an editor, you can do this by hand by cutting silences above a set length. Etchly does it automatically after the voiceover is generated, using word-level timing so the visuals and captions stay in sync with the tightened audio.
How should you mix voice, music and loudness?
A great voice can still sound amateur if it’s fighting the music.
Duck the music under speech
Music should drop when the narrator talks and come back up in gaps and at the end. This is called ducking. A common starting point is to keep music roughly 15 to 20 dB below the voice while speech is playing, then adjust by ear. If you notice the music during a sentence, it’s too loud.
Watch your sound effects
Whooshes and pops help pacing, but they shouldn’t land on top of important words. Place them in the gaps, and keep them quieter than you think.
Normalize to -14 LUFS
LUFS measures perceived loudness. -14 LUFS integrated is a common target for YouTube and many social platforms. If your video is much louder, the platform turns it down and it may sound squashed. If it’s much quieter, it sounds weak next to everything else in the feed. Most editing tools have a loudness meter or a normalize-to-LUFS option.
Etchly’s captions and audio mixer gives you separate faders for speech, music and each sound effect, and every export is normalized to -14 LUFS.
AI voiceover checklist
Run through this before you publish:
- Voice auditioned with your actual script on a phone speaker
- Same voice used across the series or channel
- Script read aloud by you first, with stumbles rewritten
- Sentences short, contractions used, numbers written as spoken
- Punctuation placed for pauses and emphasis, not just grammar
- Pace set (about 2.2, 2.55 or 2.9 words per second) and word count matched to length
- Every name, brand and acronym checked and respelled if needed
- Dead air tightened, intentional pauses kept
- Music ducked under speech; effects placed in gaps
- Final mix normalized to about -14 LUFS
- Captions checked against the final audio
Make it sound like a person, then let it work
A human-sounding AI voiceover is mostly good craft: a script written for the ear, a voice that fits, deliberate pauses and a clean mix. If you’d rather not handle every step by hand, Etchly handles voice timing, silence tightening, the music mix and loudness as part of making the video, and you can still adjust any of it. Start with 10 free credits, no card required, or see how it fits a faceless YouTube channel.
Frequently asked questions
Why does my AI voiceover sound robotic?
Usually the script, not the voice. Long sentences, written-style phrasing, missing punctuation and a pace that's too even all make narration sound synthetic. Shorter sentences and deliberate pauses fix most of it.
What is a good speaking pace for narration?
Around 2.5 words per second is a natural conversational pace. Calm or reflective content works at about 2.2, and energetic short-form content can go to about 2.9 before it starts to feel rushed.
What loudness should a voiceover video be?
-14 LUFS integrated is a common target for YouTube and social platforms. If you deliver much louder, platforms turn it down; much quieter, and your video sounds weak next to others in the feed.
