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 best suited when you want to work on live calls and transcribe interviews, meetings, customer service calls, and other audio or video recordings into text format. This helps create searchable archives, generate meeting minutes, and improve accessibility for individuals with hearing impairments. The service can provide real-time captioning for live events, webinars, broadcasts, and presentations. This enhances accessibility for individuals who are deaf or hard of hearing and those viewing content in noisy environments or without sound. It does not work well where the internet bandwidth is not that good; it requires a very good and strong internet connection to work well. And also where there are strong accents, especially in the Mandarin language.

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.

I can share insights with stakeholders in record time. And robust API connections let me pipe text into my CRM, marketing automation, and other mission-critical systems

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

The accuracy of Google Cloud Speech-to-Text is much better than any other tool. It has better API integration with 3rd party tools. The transcription is on at real-time basis with the best efficiency. It has good language support from across the globe. It provides better noise robustness compare to other tools.

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

• Automating the transcription process saved time and resources compared to manual transcription.
• Speech-to-text enabled us to make audio content accessible to a wider audience, including individuals with disabilities.
• We gained valuable insights into customer preferences, behaviors, and sentiment by analyzing voice data.

Incentivized