ElevenLabs vs Typecast
Comparing ElevenLabs and Typecast Voice AI Models. Discover the strengths of each voice AI model and find the best fit for your needs.
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Comparing ElevenLabs and Typecast Voice AI Models
ElevenLabs offers highly realistic, emotional voices with extensive language support and voice cloning, while Typecast AI focuses on natural-sounding voices optimized for long-form content but with fewer customization options.
Updated at:
Feb 14, 2025
Features
ElevenLabs
Typically around 300 ms + network time
Natural and realistic, widely used by all types of content creators
Limited to 40k characters per request
Requires 30 seconds of audio
IPA Support, isolated pronunciation
Stability, similarity, and style exaggeration controls
8kHz audio, telephony optimized voices
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Up to 15 on highest self serve tier, custom for enterprise
Typecast
Higher latency, impacting responsiveness
Less consistent in evaluations
Typecast limits requests to 40k characters
Not supported
Requires at least 20 minutes of audio
Less contextual awareness in pronunciation
Typecast offers limited customization options
Typecast lacks specific telephony optimizations
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Voice Quality Comparison
When evaluating voice quality, ElevenLabs stands out with a high speech naturalness score, rated as high in 44.98% of cases. This indicates a more human-like quality in its generated speech. Typecast, while still developing, has shown potential but lacks the same level of naturalness in its outputs. ElevenLabs also boasts a high pronunciation accuracy of 81.97%, ensuring clarity in speech generation. In contrast, Typecast's metrics suggest it may need further refinement to match ElevenLabs' quality. Overall, ElevenLabs currently offers superior voice quality for applications requiring lifelike speech.
Latency Performance Review
Latency is crucial for real-time applications, and in this evaluation, we measured the Time to First Audio (TTFA) for both ElevenLabs and Typecast. ElevenLabs achieved a 90th percentile TTFA score of just 135ms, showcasing its ability to deliver audio quickly. Typecast's TTFA results are still being finalized, but initial measurements indicate a slightly longer response time. This difference in latency could impact user experience, especially in interactive applications. ElevenLabs' low latency positions it as a strong choice for developers seeking responsive voice solutions.
Hallucination Rate Analysis
In our analysis of hallucination rates, ElevenLabs has shown a commendable ability to generate coherent and contextually relevant speech, with a low incidence of hallucinations. The model's Word Error Rate (WER) of 2.83% indicates a high level of accuracy in transcription, which correlates with fewer hallucinations. Typecast, while promising, has not yet reached the same level of performance, with indications of a higher hallucination rate in preliminary tests. This evaluation highlights ElevenLabs' strength in maintaining context and coherence, making it a preferred choice for applications where accuracy is paramount.
Voice Cloning
In this evaluation, we compare the voice cloning capabilities of ElevenLabs and Typecast. ElevenLabs has demonstrated impressive performance with a Word Error Rate (WER) of 2.83%, making it one of the most accurate models available. In contrast, Typecast's performance metrics are still emerging, but initial tests indicate a slightly higher WER, suggesting room for improvement. ElevenLabs excels in pronunciation accuracy, achieving high scores in 81.97% of cases, while Typecast is still refining its approach to achieve similar results. Overall, ElevenLabs leads in voice cloning accuracy, but Typecast shows promise for future advancements.
Voice Design Control Insights
When it comes to voice design controllability, ElevenLabs offers a robust set of features that allow users to fine-tune voice characteristics effectively. The model's high context awareness score of 63.37% indicates its ability to adapt to different speech contexts, enhancing user control over the generated voice. Typecast is still developing its controllability features, and while it shows potential, it currently lacks the same level of customization options. This evaluation underscores ElevenLabs' advantage in providing users with the tools needed to create tailored voice experiences.
Look for a ElevenLabs and Typecast Alternatives?
Cartesia AI offers the fastest voice model with hallucination-free, ultra-realistic voice generation and cloning.
The Fastest Voice Model
Cartesia's Sonic model achieves a latency of just 90ms, ensuring rapid voice responses.
Voice Clone with 5s of Audio
With only 5 seconds of audio, Cartesia can create high-fidelity voice clones instantly.
Ultra-Realistic Voices
Cartesia's voices are designed to sound natural and engaging, closely mimicking human speech.
Pricing Comparison for ElevenLabs and Typecast Plans
ElevenLabs
Free - $0/mo. with 10k characters
Starter - $5/mo. with 30k characters
Creator - $11/mo. with 100k characters
Pro - $99/mo. per month with 500k characters
Scale - $330/mo. per month with 2M characters
Typecast
Starter - $10/mo. with 5k credits and basic features
Standard - $25/mo. with 200k credits and additional features
Business - $99/mo. with 1M credits and advanced features
Premium - $499/mo. with 5M credits and priority support
Enterprise Plus — custom pricing for large-scale needs
What Cartesia customers say
Join the growing list of companies opting for Sonic.
"This partnership represents a transformative moment in enterprise AI adoption," said Melissa Gordon, CEO of Rasa. "By combining Rasa’s strengths in enterprise conversational AI with Cartesia's innovative voice technology, we're fundamentally changing how enterprises can deploy and scale AI assistants across their organizations."
"We're thrilled to partner with Cartesia - their technology has dramatically improved the accuracy and reliability of our call center agents. Beyond just providing best-in-class voice AI, the Cartesia team has been a true partner in helping us transform 24/7 patient support for over 215,000 patients. Their support has been instrumental in making exceptional care accessible anytime, anywhere."
Jeffrey Liu, Founder and co-CEO, Assort Health
"Together AI's mission has always been to provide developers with the most powerful and efficient tools for building AI applications," says Vipul Ved Prakash, Together AI's CEO. "Cartesia is leading the charge of building efficient, multimodal models from first principles, starting with their Sonic TTS model. By integrating Sonic into our platform, we're enabling developers to create sophisticated multi-modal applications that leverage the most advanced and lowest latency voice model available today, all while maintaining the simplicity and reliability our users expect."
