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
Discover the key differences between ElevenLabs and Speechify voice AI models. Learn about their features and pricing.
Eleven Labs offers highly natural voices with emotional range and multilingual support, while Speechify focuses on faster processing and accessibility features. Both have good quality, but Eleven Labs excels in naturalness.
Cartesia provides high-fidelity voice cloning with unmatched accuracy and voice quality.
Experience lifelike voices that are nearly indistinguishable from human speech.
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 Speechify, we focused on key metrics such as speech naturalness, pronunciation accuracy, and noise levels. ElevenLabs excelled with a high speech naturalness rating in 89.60% of cases, while Speechify showed some robotic elements in its output. In terms of pronunciation accuracy, ElevenLabs scored 81.97%, indicating clear and correct word pronunciation. Noise levels were minimal for both models, but ElevenLabs had a slight edge in producing cleaner audio. Overall, ElevenLabs emerged as the preferred choice for high-quality voice generation.
In our latency evaluation, we measured the Time to First Audio (TTFA) for both ElevenLabs and Speechify. By calculating the 90th percentile score from 100 TTFA measurements, we found that ElevenLabs had a faster response time, averaging around 135ms, while Speechify lagged slightly behind. This low latency is crucial for real-time applications, making ElevenLabs a more favorable option for developers seeking quick audio generation. The results underscore the importance of latency in delivering seamless user experiences in voice applications.
The evaluation of hallucination rates between ElevenLabs and Speechify revealed interesting insights. ElevenLabs maintained a low hallucination rate, producing coherent and contextually relevant speech in most cases. In contrast, Speechify exhibited a higher tendency for inaccuracies, particularly in complex prompts. This difference is significant for applications requiring high reliability, as hallucinations can lead to misunderstandings. Overall, ElevenLabs demonstrated superior performance in minimizing hallucinations, making it a more trustworthy choice for voice applications.
In our evaluation of voice cloning capabilities, ElevenLabs and Speechify were put to the test using a diverse set of prompts. ElevenLabs achieved an impressive Word Error Rate (WER) of 2.83%, showcasing its accuracy in generating coherent speech. Speechify, while also effective, had a slightly higher WER, indicating room for improvement. ElevenLabs demonstrated high pronunciation accuracy in 81.97% of cases, while Speechify's performance varied. The evaluation highlighted ElevenLabs' edge in producing lifelike voice clones, making it a strong contender in the voice cloning arena.
In evaluating voice design controllability, ElevenLabs and Speechify were assessed on their ability to adapt voice characteristics based on user input. ElevenLabs showcased robust controllability, allowing users to modify tone, pitch, and emotion effectively. Speechify, while offering some customization options, fell short in providing the same level of nuanced control. This flexibility in voice design is crucial for applications requiring personalized user experiences. ElevenLabs' superior performance in this area positions it as the preferred choice for developers looking to create tailored voice interactions.
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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