3M M*Modal Fluency vs. Amazon Transcribe
3M M*Modal Fluency vs. Amazon Transcribe
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
3M M*Modal Fluency | N/A | M*Modal, a 3M company, offers the Fluency suite of speech-to-text applications designed to support the medical profession, radiologists and doctors, for note taking, entry of data into integratable EHR applications, and related functions. | N/A | |
Amazon Transcribe | N/A | Amazon Transcribe uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately. Amazon Transcribe can be used to transcribe customer service calls, to automate closed captioning and subtitling, and to generate metadata for media assets to create a searchable archive. Amazon Transcribe Medical can be added to provide medical speech to text capabilities to clinical documentation applications. | $0 per second |
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| Editions & Modules | No answers on this topic |
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| Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
| Additional Details | — | — | ||||||||||||||
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| 3M M*Modal Fluency | Amazon Transcribe |
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| 3M M*Modal Fluency | Amazon Transcribe | |
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| Small Businesses | Dragon Speech Recognition Score 8.2 out of 10 | Dragon Speech Recognition Score 8.2 out of 10 |
| Medium-sized Companies | Dovetail Score 8.6 out of 10 | Dovetail Score 8.6 out of 10 |
| Enterprises | Verint Speech and Text Analytics Score 8.4 out of 10 | Verint Speech and Text Analytics Score 8.4 out of 10 |
| All Alternatives | View all alternatives | View all alternatives |
| 3M M*Modal Fluency | Amazon Transcribe | |
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| Likelihood to Recommend | - (0 ratings) | 9.4 (6 ratings) |
| 3M M*Modal Fluency | Amazon Transcribe | |
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| Likelihood to Recommend | 3M No answers on this topic | ![]() Amazon AWS
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| Pros | 3M No answers on this topic | ![]() Amazon AWS
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| Cons | 3M No answers on this topic | ![]() Amazon AWS
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| Alternatives Considered | 3M No answers on this topic | ![]() Amazon AWS
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| Return on Investment | 3M No answers on this topic | ![]() Amazon AWS
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