Elise AI
We didn't switch to Sonic 3.5 because it was incrementally better, we switched because nothing else came close… we've seen a 2.9% lift in our conversion and a 12.2% increase in customer engagement.
Updated February 14, 2025
Learn about the differences between ElevenLabs and Google TTS in voice AI models.
Eleven Labs offers highly natural and expressive voices with emotional range, while Google TTS provides reliable, clear speech with extensive language support but less emotional variation. Both excel in different use cases.
Cartesia's voice cloning delivers lifelike, accurate voice replicas.
Enjoy expressive voices that sound nearly indistinguishable from humans.
Enjoy accurate text-to-speech with no errors, handling complex transcripts and industry-specific terms effectively.
Enterprise-grade reliability with 99.9% uptime, SOC2 compliance, and full on-premises support.
When comparing voice quality between ElevenLabs and Google Speech to Text, we found significant differences.
ElevenLabs demonstrated high pronunciation accuracy, with 81.97% of words pronounced correctly, while Google TTS achieved 77.30%. In terms of speech naturalness, ElevenLabs scored high in 44.98% of cases, whereas Google TTS had a low naturalness rating in 78.01% of instances.
Additionally, ElevenLabs had no detectable noise in 80.27% of its outputs, while Google TTS maintained a similar standard with 89.46%. Overall, ElevenLabs provides a more natural and accurate voice quality experience.
In our latency evaluation, we measured the Time to First Audio (TTFA) for both ElevenLabs and Google Speech to Text.
We calculated the 90th percentile score from 100 TTFA measurements for each provider. ElevenLabs exhibited a TTFA of 150ms, indicating a quick response time, while Google TTS recorded a TTFA of 200ms.
This shows that ElevenLabs is more efficient in delivering audio output, making it a better choice for applications requiring low latency.
The hallucination rate was assessed for ElevenLabs and Google Speech to Text to determine how often the models generated incorrect or nonsensical outputs.
ElevenLabs had a hallucination rate of 5%, indicating a strong performance in maintaining accuracy. In contrast, Google TTS exhibited a higher hallucination rate of 10%.
This evaluation suggests that ElevenLabs is more reliable in producing coherent and contextually appropriate speech, making it the preferred option for applications where accuracy is critical.
In our evaluation of voice cloning capabilities, ElevenLabs and Google Speech to Text were put to the test. ElevenLabs achieved an impressive Word Error Rate (WER) of 2.83%, showcasing its accuracy in generating coherent speech.
In contrast, Google TTS recorded a WER of 3.36%, indicating slightly less precision. When it comes to speech naturalness, ElevenLabs scored high in 44.98% of cases, while Google TTS struggled, with low naturalness in 78.01% of instances.
This evaluation highlights ElevenLabs as the more effective choice for voice cloning applications, particularly in terms of accuracy and naturalness.
In evaluating voice design controllability, ElevenLabs and Google Speech to Text were assessed on their ability to adapt voice characteristics based on user input.
ElevenLabs scored high in context awareness, achieving a 63.37% rating, while Google TTS lagged behind with a 39.25% score. Additionally, ElevenLabs demonstrated superior prosody accuracy at 64.57%, compared to Google TTS's 45.83%.
This indicates that ElevenLabs offers more flexibility and control in voice design, making it a better choice for customized voice applications.
Elise AI
We didn't switch to Sonic 3.5 because it was incrementally better, we switched because nothing else came close… we've seen a 2.9% lift in our conversion and a 12.2% increase in customer engagement.
ServiceNow
Cartesia's state-space models bring enterprise-grade speed and quality to our AI Voice Agents… making it possible for businesses to deploy secure, scalable voice agents that can understand, act, and adapt in real time.
Sierra
Cartesia Sonic 3.5 has become one of the top-performing models for us by combining low latency with natural pacing… helping us deliver strong voice quality across a growing set of languages where other models often fall short.
Callers
Sonic 3.5 has been a meaningful upgrade for Callers… latency and naturalness directly impact conversational flow and user success, and the new model noticeably improves both. We've seen more human interactions — especially in high-volume customer conversations where every millisecond and every turn matters.
Take2 AI
We moved from an incumbent TTS provider to Cartesia because of the support experience. After repeated roadblocks with our previous provider, the difference with Cartesia has been transformative — responsive, technical, and genuinely invested in our success.
Cresta
Sonic 3.5 represents a significant evolution over previous TTS models, delivering refined prosodic rhythm, natural intonation, superior pacing and wider emotional range for more “human” sounding voices.
Bolna
Indian voice agents live or die on whether order IDs, alphanumerics, and multilingual code-switching come out right on a phone line. Sonic 3.5 handles alphanumerics natively… and lands first audio at 100ms p90.
Goodcall
Sonic is the only product in existence with model latency of less than 100 ms, outperforming its next best alternative by a factor of four. This level of performance represents a quantum leap forward.
Quora
Sonic powers audio on Poe across 100+ voices and 14 languages, supporting Quora's millions of users with SOC 2 compliance and unlimited concurrency for enterprise customers.
Fundamento
We run 20M+ outbound calls per month on Cartesia, with peak concurrency of 5,000 calls in a single minute, and 100ms time-to-first-byte — 2x faster than every other voice provider we tested.
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