Convert text into lifelike spoken audio using one of the six built-in voices.
Voice Quality
IBM Watson 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
IBM Watson 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
IBM Watson offers a more feature-rich text-to-speech service compared to OpenAI Text-to-Speech, including voice cloning, per-word timestamps, pitch control, speed control, and support for phone formats.
OpenAI Text-to-Speech, while supporting multiple languages, lacks these advanced features, focusing instead on a simpler, possibly more user-friendly approach.
The choice between the two may depend on the specific needs for customization and control over the speech output.
Pricing & Plans
IBM Watson Pricing
Free
$0/mo
10,000 characters
Standard
$20per
1M characters
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
IBM Watson offers a valuable free plan for users with minimal text-to-speech needs, providing up to 10,000 characters at no cost.
For those requiring more extensive usage, OpenAI's Text-to-Speech service presents a more cost-effective option with its Pay As You Go plan, making it slightly cheaper for converting large volumes of text into speech.
Overall, IBM Watson is ideal for low usage scenarios, while OpenAI offers better value for higher usage needs, purely from a pricing perspective.
When comparing IBM Watson and OpenAI Text-to-Speech services, IBM Watson stands out with its comprehensive feature set, including voice cloning and extensive control over speech output, making it suitable for users seeking customization.
OpenAI offers a more cost-effective solution for high-volume needs despite its simpler feature set.
Ultimately, the choice between the two depends on the balance between the need for advanced features and budget considerations, with IBM Watson catering to those prioritizing customization and OpenAI appealing to users focused on cost efficiency for larger projects.
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