Google Cloud Speech-to-Text Review
What is Google Cloud Speech-to-Text?
Google Cloud Speech-to-Text is an automatic speech recognition service developed by Google, designed to convert audio into text accurately, scalably, and in real time. It is widely used in enterprise environments for its adaptability, accuracy, and personalization.
✅Transcription in over 125 languages and variants, including Latin American Spanish, Castilian Spanish, and American Spanish.
✅Customizable models by domain (phone, video, meetings) with support for real-time and batch streaming. A universal “Chirp” model, self-supervised and trained on millions of hours of audio and billions of text sentences, improves multilingual accuracy.
✅API v2 with regional data residency options and enterprise-grade encryption with customer-managed keys.
Requires minimal technical knowledge to configure the API and models.
Pay per second processed: from $0.006 USD per 15 seconds (API v1) and $0.016 USD per minute (API v2).
Prices and Plans
Google Cloud Speech-to-Text pricing is
No free trial available – Up to $0.016 per minute.
For more details on the different plans, we recommend visiting their website.
Advantages and Disadvantages
Advantages
- Companies looking for customizable, high-volume Spanish transcription solutions.
- Technical teams that want to integrate voice recognition into their own workflows or apps.
- Regulated sectors that require compliance and data control (finance, healthcare, education).
Disadvantages
- Non-technical users looking for no-code, plug-and-play solutions.
- Personal or low-budget projects that do not require business integration.
- Professionals who need interactive editing of transcription from the browser.
Google Cloud Speech-to-Text vs Alternatives
Explore other tools on our platform to find the one that best suits your needs.
AgentAya Verdict
User Opinion
On G2, the platform received a rating of 4.6 out of 5, highlighting its high accuracy with complex accents, its reliability in business environments, and its great versatility for integrating with tools like Google Meet, BigQuery, and proprietary systems. As an area for improvement, many users point out the need for technical knowledge to configure it correctly.
