All MenaVoice text to speech models cost the same, so choose on sound and behavior alone. Start from what your script needs.
Quick guide
| If you need | Use | quality |
|---|---|---|
| Everyday scripts, product audio and high volume, with predictable results | MenaVoice 1v | flash |
| Narration, courses and commercials with a polished studio sound | MenaVoice 1.5 | pro |
| The most expressive delivery: storytelling, characters, emotional ads | MenaVoice 2 | v2 |
| Your own voice, or a voice saved from the community | MenaVoice Clone | clone |
What to consider
Consistency
MenaVoice 1v is built for consistency: regenerated audio sounds much like the last take, which suits audio you update often, like notifications or product copy. MenaVoice 2 varies noticeably between takes. That's part of what makes it expressive, but it means you should generate a few takes, keep the one you like, and store it instead of generating it again.
Speed
MenaVoice 1v is built for speed. When a person is waiting for the audio, such as in an app or on a phone line, it's the safest choice.
Dialects
MenaVoice 2, 1.5 and 1v all support dialectId. MenaVoice Clone doesn't: a cloned voice keeps the accent of the recording it was made from, so clone a speaker of the dialect you want.
Voices
The 30 studio voices work with MenaVoice 2, 1.5 and 1v. MenaVoice Clone works only with voices in your library.
Compare them on your own script
The best test is your real script. Generate it with each model and listen side by side:
import base64
import os
import requests
script = "اكتشف عروض نهاية الأسبوع، خصومات تصل إلى خمسين بالمئة على كل المنتجات."
for quality in ["flash", "pro", "v2"]:
response = requests.post(
"https://api.menavoice.ai/api/tts",
headers={"x-api-key": os.environ["MENAVOICE_API_KEY"]},
json={"text": script, "voiceId": "sara", "quality": quality},
timeout=120,
)
response.raise_for_status()
with open(f"sample-{quality}.mp3", "wb") as f:
f.write(base64.b64decode(response.json()["audio"]))You can also compare models without code in the web app's Text to Speech page, where the Takes panel keeps each result for comparison, or in the API Playground.

