Convert text into lifelike spoken audio using one of the six built-in voices.
Voice Quality
Murf API Samples
Mean Opinion Score
Fiction
N/A
Non-Fiction
N/A
Conversation
N/A
OpenAI Text-to-Speech Samples
Mean Opinion Score
Fiction
N/A
Non-Fiction
N/A
Conversation
N/A
Mean Opinion Score (MOS) is a numerical measure that represents the perceived quality of audio samples, commonly used in evaluating text-to-speech systems.
The score ranges from 1 to 5, with 1 indicating poor quality and 5 signifying excellent quality.
These scores are derived from comprehensive, professionally-conducted evaluations, and are anonymized to ensure unbiased results.
Features
Murf API Features
Voice Cloning
Multi-lingual
Per-word Timestamps
Pitch Control
Speed Control
Phone Formats (e.g. pcm_mulaw)
OpenAI Text-to-Speech Features
Voice Cloning
Multi-lingual
Per-word Timestamps
Pitch Control
Speed Control
Phone Formats (e.g. pcm_mulaw)
Features - Conclusion
The Murf API offers a more feature-rich text-to-speech service compared to OpenAI Text-to-Speech, including voice cloning, pitch control, speed control, and support for phone formats.
Both services support multiple languages, but OpenAI lacks several advanced features such as pitch and speed control.
Therefore, for users requiring more customization and control over their text-to-speech output, Murf API appears to be the more versatile option.
Pricing & Plans
Murf API Pricing
API Subscription
$3000/year
12M characters (per year)
OpenAI Text-to-Speech Pricing
Pay As You Go
$15per
1M characters
Optimized for speed
Pay As You Go (TTS HD)
$30per
1M characters
Optimized for quality
Pricing & Plans - Conclusion
In a direct comparison of pricing between Murf API and OpenAI Text-to-Speech, OpenAI emerges as the more cost-effective option, offering a lower overall cost for text-to-speech conversion.
While Murf API requires an annual subscription, OpenAI's pay-as-you-go model provides flexibility and affordability, making it an attractive choice for users with varying needs and budgets.
This pricing analysis highlights OpenAI Text-to-Speech as the superior option for those prioritizing cost efficiency in their text-to-speech services.
When comparing Murf API and OpenAI Text-to-Speech, it's evident that each service caters to different user needs and preferences.
Murf API stands out with its advanced features like voice cloning and pitch control, making it suitable for users seeking customization and versatility in their text-to-speech applications.
However, OpenAI Text-to-Speech offers a more cost-effective, pay-as-you-go pricing model, appealing to those prioritizing affordability and flexibility, despite its limited feature set.
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