How to Write Text That Sounds Great When Spoken by AI

When you’re building a voice‑enabled product, you might think that the magic happens only in the neural network that turns raw audio into a human‑like voice. In reality, the source text is just as crucial. A poorly written sentence can make even the most advanced TTS system sound robotic, stilted, or, worst of all, unintelligible. This article dives into the practical tricks that will make your text sound great when spoken by AI, with a focus on voice‑cloning and text‑to‑speech workflows. We’ll also show you how to hook everything up with ElevenLabs, the leading platform for realistic voice synthesis.

A general rule of thumb for TTS is to keep sentences to 8–12 words. Long, complex sentences create s that feel unnatural. If you need to convey a lot of information, break it into multiple shorter statements.

Bad: “Despite the fact that we have been working on the new feature for several months, the final release date will be pushed back due to unforeseen technical challenges.”
Good: “We’ve worked on the new feature for months. The release date is delayed because of technical challenges.”

Contractions (e.g., “don’t,” “it’s,” “they’re”) make the speech feel more conversational and reduce the need for the TTS engine to pronounce the extra syllables. Most TTS engines handle contractions naturally, but it’s a quick win you can’t ignore.

TTS engines rely on punctuation to determine s, intonation, and emphasis. Missing commas or periods can cause the model to read a string of words in a flat tone.

Tip: If you’re writing dialogue or instructions, double‑check that each sentence ends with the proper punctuation.

Some TTS APIs, including ElevenLabs, support prosody tags—small XML/HTML snippets that let you control pitch, speed, and volume for specific words or phrases. This is especially handy for brand voices or when you want to emphasize a call‑to‑action.

<prosody rate="slow" pitch="high">Attention: This feature is now available.</prosody>
python
import requests

API_KEY = "YOUR_ELEVENLABS_API_KEY"
HEADERS = {"xi-api-key": API_KEY, "Content-Type": "application/json"}

payload = {
    "text": "Welcome to your new dashboard. <prosody rate=\"slow\" pitch=\"high\">Get started now!</prosody>",
    "voice_settings": {
        "stability": 0.75,
        "similarity_boost": 0.85
    }
}

response = requests.post(
    "https://api.elevenlabs.io/v1/text-to-speech/your_voice_id",
    json=payload,
    headers=HEADERS
)

with open("output.wav", "wb") as f:
    f.write(response.content)

Note: Replace your_voice_id with the ID of the voice you’ve cloned or chosen. The stability and similarity_boost parameters are optional but can help smooth out the audio.

If the audience isn’t familiar with industry terms, the AI might pronounce them oddly or insert unnecessary s. Stick to plain language or provide a brief explanation before using specialized vocabulary.

Bad: “Utilize the API’s CRUD endpoints for data manipulation.”
Good: “Use the API’s Create, Read, Update, and Delete endpoints to manage your data.”

Even the most carefully crafted text can sound off in the wild. Run a quick A/B test with a handful of real users to see which version feels more natural. You can use a simple survey or ask for qualitative feedback.

curl -X POST "https://api.elevenlabs.io/v1/text-to-speech/your_voice_id" \
     -H "xi-api-key: YOUR_ELEVENLABS_API_KEY" \
     -H "Content-Type: application/json" \
     -d '{"text":"Hello, world!"}' \
     --output hello.wav

Play the hello.wav on multiple devices (phone, laptop, headphones) to catch any artifacts that might be device‑specific.

Voice cloning lets you create a synthetic voice that sounds like a real person—often a brand spokesperson or a beloved character. The process generally involves:

import requests

API_KEY = "YOUR_ELEVENLABS_API_KEY"
HEADERS = {"xi-api-key": API_KEY, "Content-Type": "application/json"}

create_voice = {
    "name": "Brand Voice",
    "description": "Voice for our brand assistant",
    "sample_rate_hertz": 22050,
    "language_codes": ["en-US"],
}
response = requests.post(
    "https://api.elevenlabs.io/v1/voices",
    headers=HEADERS,
    json=create_voice
)
voice_id = response.json()["voice_id"]

with open("sample1.wav", "rb") as f:
    files = {"file": f}
    response = requests.post(
        f"https://api.elevenlabs.io/v1/voices/{voice_id}/audio",
        headers={"xi-api-key": API_KEY},
        files=files
    )

print(f"Voice {voice_id} created and sample uploaded.")

Once your voice is trained, you can reuse it across all your TTS requests, ensuring a consistent auditory brand experience.

Voice cloning can be powerful, but it also raises ethical concerns. Always:

If you’re already using a CI/CD pipeline, add a step to generate or update TTS assets automatically. For example, you can:

TEXT_FILE="content.txt"
OUTPUT_WAV="content.wav"

curl -X POST "https://api.elevenlabs.io/v1/text-to-speech/your_voice_id" \
     -H "xi-api-key: $API_KEY" \
     -H "Content-Type: application/json" \
     -d "{\"text\":\"$(cat $TEXT_FILE)\"}" \
     --output $OUTPUT_WAV

AI voices evolve rapidly. Platforms like ElevenLabs frequently roll out new features—better prosody controls, higher fidelity models, or new voice‑cloning techniques. Subscribe to their newsletters or follow their GitHub to stay ahead.

Ready to make your text sound as natural as a human conversation? Dive into ElevenLabs and start cloning voices, fine‑tuning prosody, and delivering flawless AI‑generated speech today.

Try ElevenLabs now: https://try.elevenlabs.io/kr07zfuqn1bp

Happy coding—and happy speaking!