Amazon Transcribe makes it easy for developers to add speech-to-text capability to their applications. Audio data is virtually impossible for computers to search and analyze. Therefore, recorded speech needs to be converted to text before it can be used in applications. Historically, customers had to work with transcription providers that required them to sign expensive contracts and were hard to integrate into their technology stacks to accomplish this task. Many of these providers use outdated technology that does not adapt well to different scenarios, like low-fidelity phone audio common in contact centers, which results in poor accuracy.


| Product | Mindshare (%) |
|---|---|
| Amazon Transcribe | 10.8% |
| Deepgram | 19.8% |
| Microsoft Azure Speech Service | 18.4% |
| Other | 51.0% |
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 fully searchable archive. You can use Amazon Transcribe Medical to add medical speech to text capabilities to clinical documentation applications.
| Author info | Rating | Review Summary |
|---|---|---|
| Senior Software Developer at a tech vendor with 10,001+ employees | 4.0 | I use Amazon Transcribe to efficiently convert voice to text for various projects, benefiting from its scalability and cost-effectiveness. However, it struggles with processing background noise, and improvements in that area would be valuable. |
| AWS Senior Engineer at Indra | 4.0 | I use AWS Transcribe daily for medical and educational app transcription, valuing its excellent asynchronous capabilities, stability, and easy setup. However, I find its Spanish language support, particularly for medical features, and real-time implementation documentation need significant improvement. |
| Cloud DevOps Engineer at Web365 Nigeria | 4.5 | I use Amazon Transcribe for its highly accurate (99%+) speech-to-text, enhancing my efficiency for classes and meetings. I rate this awesome tool 9/10. My main suggestion is a feature to speed up large video file uploads. |
| Owner at a non-profit with 1-10 employees | 3.5 | I find Amazon Transcribe valuable for meeting accessibility, helping me follow discussions and providing transcripts. I wish it had more dedicated accessibility features and real-time captions. I rate it 7/10. |
| Architect at a tech company with 201-500 employees | 4.0 | I've used AWS Transcribe for years to transcribe audio from meetings and videos. It's very useful, stable, and easy to set up with no bugs. Although the UX/UI could improve, it meets all my requirements, and I recommend it. |