Users report that Krisp excels in Multi-Device Support with a score of 9.5, allowing seamless use across various platforms, while AssemblyAI's score of 7.9 indicates it may not be as versatile in this area.
Reviewers mention that Krisp's Accuracy in Noisy Settings is impressive, scoring 9.0, which is particularly beneficial for users in bustling environments. In contrast, AssemblyAI's score of 8.0 suggests it may struggle more in similar conditions.
G2 users highlight Krisp's Ease of Use with a score of 9.2, making it user-friendly for those who may not be tech-savvy, whereas AssemblyAI, with a score of 9.0, is slightly less intuitive according to some reviewers.
Reviewers mention that Krisp's Environmental Noise Adaptation feature, scoring 8.8, is a standout, helping to filter out background noise effectively, while AssemblyAI's score of 8.3 indicates it may not perform as well in this regard.
Users on G2 report that Krisp's Developer API & SDK capabilities, scoring 8.2, are robust, although AssemblyAI shines with a higher score of 9.1, indicating better support for developers looking to integrate speech-to-text functionalities.
Reviewers mention that while Krisp has a solid Quality of Support score of 8.9, AssemblyAI matches this with the same score, but users report that AssemblyAI's support is more responsive, particularly for technical queries.
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AssemblyAI - Speech to Text API
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