How I Compared 15 French AI Voices in One ChatGPT Conversation
The problem with picking a voice
Choosing a voice sounds simple. It rarely is.
You want to hear the same sentence spoken by several providers before you commit. In practice, that means opening dashboards, generating samples one at a time, downloading files, and trying to remember which recording came from which model. By the time you have enough samples to compare, you have lost track of half of them.
It gets worse when you work across languages. A voice that sounds natural for English narration may feel off in French, Spanish, or Arabic. Each provider has different strengths by language. You need to actually listen to find out.
What the Custom GPT does differently
The AI TTS Microservice Custom GPT connects to your account via OAuth and can generate audio, search voices, check job status, and create shareable playlists, all through a conversation.
For voice comparison, that makes the comparison workflow simpler.
Instead of opening tabs, you describe what you want:
"Find all available French voices, group them by provider and model family, and create one sample of this sentence for each group."
The GPT proposes a plan, waits for your approval, generates the samples, and creates a playlist.
A real example: 15 French voices, one link
The sentence used was Je vais à l'école. The goal was to hear that exact phrase across 15 French provider/model-family options available at the time of testing.
The conversation went like this:
- Ask for available French voices grouped by provider and model family.
- Review the proposed list and approve it.
- Let the GPT generate each sample asynchronously.
- Ask it to check completion and create a shareable playlist.
The result: a single link with 15 tracks covering Google families classified under our Premium tier (Chirp3-HD, Chirp-HD, Neural2, Wavenet, Standard, Polyglot, Studio), Gemini families classified under our Ultra tier (2.5 Flash, 2.5 Pro, 2.5 Flash Lite Preview, and 3.1 Flash Preview), Amazon Polly families classified under our Premium tier (Generative, Neural, Standard), and Kokoro classified under our Premium tier.
You can listen to the playlist here.
Why this matters
The best voice is the one that sounds right for your content and your audience. A technically advanced model may not fit your use case. A cheaper option may be exactly right.
The only way to know is to listen to the same sentence across options and compare. When comparison is easy, you make better decisions. When it is slow and manual, you settle for whatever you tested last.
The GPT makes comparison practical enough to fit into a normal review cycle.
Who this helps
Course creators and educators. You can generate a comparison playlist for a sample script, share it with a colleague, and agree on a voice before recording a full course. The e-learning TTS guide covers more on choosing voices for educational content.
Multilingual teams. Run the same workflow for each target language. Hear French, Spanish, and Arabic options side by side without switching tools.
Content creators. A short comparison for your actual script, not a generic demo sentence, tells you far more than browsing a voice gallery by name.
How to try it
You do not need to write any code.
- Open the AI TTS Microservice Custom GPT in ChatGPT.
- Sign in to your AI TTS Microservice account when prompted.
- Ask for a voice comparison in your target language.
Before connecting, you can browse voice samples for free across all providers without an account. Sign in to generate audio with your own text.
The existing post on the Custom GPT covers the full setup if you have not connected yet. Once you have generated samples, the audio sharing guide explains how to create playlists, password-protect them, and send a single link for review.