AI Voice & TTS Testing Methodology
How we evaluate text-to-speech, voice cloning, and speech synthesis tools.
← Back to Methodology HubThe 100-Point Scoring Framework
We test voice tools with standardized scripts in 10 languages, measuring naturalness, emotion range, voice cloning accuracy, and latency for real-time applications.
Our Testing Process
MOS Testing
Human listeners rate naturalness on a 1-5 scale.
Language Tests
Same script tested in 10 languages per tool.
Clone Accuracy
Voice clones compared to original recordings.
Scoring
Aggregated scores published transparently.
1. Voice Quality & Naturalness
How natural, expressive, and accurate the generated speech sounds.
2. Pricing & Usage
Cost per character, per minute, or per word of generated speech.
3. Features & Control
Voice customization, SSML support, and advanced controls.
4. Platform & Integration
API quality, SDK support, and integration options.
Score Grading Scale
| Score Range | Grade | Interpretation |
|---|---|---|
| 85 – 100 | Excellent | Best-in-class. Industry leader in this category. |
| 70 – 84 | Good | Strong performer for most use cases, minor gaps. |
| 55 – 69 | Satisfactory | Acceptable but falls behind leaders. Consider alternatives. |
| 0 – 54 | Needs Improvement | Significant limitations. Compare alternatives carefully. |
Independence & Transparency
Human listener tests: All voice quality ratings from real human evaluators.
No sponsored rankings: Independent of affiliate relationships.
Release-based re-testing: Updated when providers ship new models.