Deploy high quality voices for your apps, website and other services at scale.
Voice Quality
Resemble.AI Samples
Mean Opinion Score
Fiction
N/A
Non-Fiction
N/A
Conversation
N/A
Murf API 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
Resemble.AI Features
Voice Cloning
Multi-lingual
Per-word Timestamps
Pitch Control
Speed Control
Phone Formats (e.g. pcm_mulaw)
Murf API Features
Voice Cloning
Multi-lingual
Per-word Timestamps
Pitch Control
Speed Control
Phone Formats (e.g. pcm_mulaw)
Features - Conclusion
Resemble.AI and Murf API both offer voice cloning and multi-lingual support, catering to a wide range of text-to-speech needs.
However, Resemble.AI provides per-word timestamps, a feature not available in Murf API, which could be crucial for precise synchronization in applications.
On the other hand, Murf API offers pitch and speed control, as well as support for phone formats, providing more flexibility in voice customization and integration capabilities compared to Resemble.AI.
Pricing & Plans
Resemble.AI Pricing
Basic
$0.006/second
Pay as you go
~$480 per 1M characters
Pro
$99/mo
80,000 seconds (~1M chars)
Extra: $0.002 per second
Murf API Pricing
API Subscription
$3000/year
12M characters (per year)
Pricing & Plans - Conclusion
Resemble.AI offers more flexible pricing options with its pay-as-you-go and monthly Pro plan, making it an attractive choice for users with varying usage needs, especially those who can stay within the included characters of the Pro plan for the best value.
Murf API, on the other hand, requires a significant upfront annual commitment but may offer better value for users with high, consistent usage needs over 12M characters annually.
Ultimately, the choice between Resemble.AI and Murf API depends on the user's specific usage levels and their preference for flexibility versus a flat annual rate.
Customer Reviews
Resemble.AI Reviews
3.6 out of 5
Average of 12 ratings from leading review sites.
Customers appreciate Resemble.AI for its time-saving capabilities, voice cloning accuracy, and the ability to add emotions and tones to AI-generated speech. It is particularly valued for content creation and localization features. However, criticisms include its pay-as-you-go pricing model, limited language options without premium plans, and occasional technical glitches like voice pitch issues and electronic noises. Some users also find the user interface could be improved and the AI voices need to sound more natural.
Time-saving
Voice cloning accuracy
Content creation
Localization
User interface
Naturalness of AI voices
Pricing model
Language options
Technical performance
Murf API Reviews
3.8 out of 5
Average of 819 ratings from leading review sites.
Murf API generally receives praise for its variety of natural-sounding voices, user-friendly interface, and quick setup, making it a popular choice for voiceover projects. Customers appreciate the diverse voice options and the ability to customize speech patterns. However, there are significant concerns about the pricing model, which many find too expensive and restrictive in terms of voice generation limits. Additionally, there are complaints about customer service and misleading information regarding free trials and subscriptions. Issues with billing practices and refund policies are also frequently mentioned, causing distrust among some users.
Resemble.AI and Murf API both offer competitive text-to-speech services with unique features and pricing models tailored to different user needs.
While Resemble.AI provides more flexible pricing and per-word timestamps for precise synchronization, Murf API stands out with its voice customization options and a flat annual rate that may appeal to users with high, consistent usage.
Ultimately, the choice between the two depends on the specific requirements for voice quality, feature set, and budget considerations of the user.
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