Amazon Transcribe vs. Google Cloud Speech-to-Text

Amazon Transcribe can be an excellent tool for businesses where being able to convert speech or audio to text, in a searchable and reportable form, would be useful. For a call center (inbound or outbound), the ability to have a rich transcription of each call (and being able to search it for keywords) is an incredibly valuable benefit. For business meetings, being able to turn a 60 or 90-minute call into a readable transcript to search or refresh yourself or others is a very large time saver which will help you work more efficiently. The software does offer many deeper integrations, such as being able to track script usage (for call centers) or interruptions, deviations, etc.. which would be very valuable to a management team and for training purposes.

Incentivized

Google Cloud Speech to Text is extremely useful for capturing insights quickly and efficiently. It is pretty accurate and good at capturing volume ( I am pretty loud, but I've captured insights from co-workers who are quieter with no issues). However, it does not work offline, so it is hard to use when in a remote area or with limited connectivity.

Incentivized

• It converts live recordings to text with few errors.
• It has powerful speech recognition models- it transcribes well even low quality audios.

Incentivized

• An amazing tool which helps a lot in a meetings.
• It's an efficient tool for improving efficiency by saving a lot of time typing. It saves at least 40-50% of our time, thus increasing efficiency.
• Incredible accuracy with multiple accents & multiple language.
• It takes punctuation into consideration.

Incentivized

• It was not easy to bring Amazon Transcribe to life, but kudos to the vendor for the free support they offered.

Incentivized

• The software does occasionally get confused by confusing terminology.
• Its web-based interface can also feel a tad hard to use compared to more appealing desktop apps.
• I've experienced the occasional technical issue, though the provider's support team is quick to troubleshoot.

The reasoning behind my 10 is that the UI is very intuitive; I didn't require any formal training to use it. Google's speech-to-text is not just a conversion tool; it helps automate mundane tasks, saves time, and has an almost human-like understanding.

Incentivized

I use Google Cloud Speech to Text and Amazon Transcribe. What makes Amazon Transcribe better for me is the accuracy of the audio-to-text conversion. I have found out that Amazone Transcribe is better at handling homophones, contractions, abbreviations, and acronyms. Another feature that makes Amazon Transcribe my No. 1 choice is its use of punctuation marks. I can also feed my own list of vocabulary into Amazon Transcribe to help me acquire better results.

Incentivized

Google Cloud Speech-to-Text outperformed its competitors significantly in terms of accuracy, surpassing any other product available. Additionally, its support for multiple languages was unrivaled in the market. Moreover, for clients with robust bandwidth, Google Cloud Speech-to-Text offered real-time transcription capabilities, enabling users to transcribe live audio streams with minimal delay.

Incentivized

• Cost reductions in KYC automating our video approvals.
• Better customer service.
• A good base for building new products and services around speech to text.

Incentivized

• The ROI is evidenced in the automation of processes, when we get a machine to perform repetitive processes instead of a human, has a fairly rapid ROI, being able to perform efficient transcription processes helps these processes are performed correctly, improving the efficiency of the same.

Incentivized