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Google Cloud Speech-to-Text Reviews

Vendor: Google
3.9 out of 5
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What is Google Cloud Speech-to-Text?

Google Speech-to-Text enables developers to convert audio to text by applying powerful neural network models in an easy-to-use API. The API recognizes 120 languages and variants to support your global user base. You can enable voice command-and-control, transcribe audio from call centers, and more. It can process real-time streaming or prerecorded audio, using Google’s machine learning technology.

Get the Google Cloud Speech-to-Text Buyer's Guide and find out what your peers are saying about Google Cloud Speech-to-Text, Microsoft Azure Speech Service, Deepgram and more!
Google Cloud Speech-to-Text is the #3 ranked solution in top Speech-To-Text Services. PeerSpot users give Google Cloud Speech-to-Text an average rating of 7.8 out of 10. Google Cloud Speech-to-Text is most commonly compared to Microsoft Azure Speech Service: Google Cloud Speech-to-Text vs Microsoft Azure Speech Service. Google Cloud Speech-to-Text is popular among the large enterprise segment, accounting for 53% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 12% of all views.
Buyer's Guide
Google Cloud Speech-to-Text
December 2025
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Google Cloud Speech-to-Text mindshare

As of December 2025, the mindshare of Google Cloud Speech-to-Text in the Speech-To-Text Services category stands at 15.1%, down from 21.0% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Speech-To-Text Services Market Share Distribution
ProductMarket Share (%)
Google Cloud Speech-to-Text15.1%
Deepgram20.1%
Microsoft Azure Speech Service19.2%
Other45.599999999999994%
Speech-To-Text Services

PeerResearch reports based on Google Cloud Speech-to-Text reviews

TypeTitleDate
CategorySpeech-To-Text ServicesDec 30, 2025Download
ProductReviews, tips, and advice from real usersDec 30, 2025Download
ComparisonGoogle Cloud Speech-to-Text vs DeepgramDec 30, 2025Download
ComparisonGoogle Cloud Speech-to-Text vs Microsoft Azure Speech ServiceDec 30, 2025Download
ComparisonGoogle Cloud Speech-to-Text vs Amazon TranscribeDec 30, 2025Download
Suggested products
TitleRatingMindshareRecommending
Microsoft Azure Speech Service4.519.2%100%3 interviewsAdd to research
Deepgram4.220.1%77%9 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Google Cloud Speech-to-Text excels in accurate transcription and translation, even with background noise and various accents. Its speaker diarization aids in distinguishing speakers in calls. It supports quick searches and document dictation, enhancing productivity. Users appreciate models like chirp for speed and accuracy. However, reliability can vary, causing the need for manual corrections. Its integration allows for easy conversion of voice to text, benefiting IT teams during onboarding and other tasks.
  • "Google Cloud Speech-to-Text sounds incredibly natural, which is impressive."
  • "During the time I used Google Cloud Speech-to-Text, it was very impactful to the organization as it made our tasks much easier to perform."
  • "The implementation is simple, and the outputs are very accurate and crisp."

Room for Improvement

Google Cloud Speech-to-Text requires improvement in multilingual support, handling of specialized terms, clarity in telephony models, and noise management. Its accuracy is questioned, especially with diverse accents and grammar issues. Autocorrect and enhanced APIs are sought. Users desire better pricing, trial experiences, and timestamp technology. Speaker diarization errors and speaker identification also need attention, while dynamic APIs and reduced authentication are requested to improve service integration.
  • "Google Cloud Speech-to-Text is 100 out of 100 when it works, and when it doesn't work, which is fairly often, it gets a zero. It doesn't fail gracefully; it fails in an unexpected way."
  • "Since it is a paid service, it is very difficult to access if a user does not have the credentials. Also, we have to create the API keys and secret keys repeatedly to maintain authentication and privacy."
  • "Given the numerous accents and dialects in India, Google Cloud Speech-to-Text could improve its handling of Indian accents."

Pricing

Enterprise users found Google Cloud Speech-to-Text's pricing all-inclusive and reasonable. The cost is low, with charges around 0.13 INR per five-minute call. Some express interest in a free version for student projects. Generally, users do not report significant concerns with pricing, licensing, or setup costs, though they indicate limited options for comparison. The primary focus remains on implementation and tasks rather than on billing details.
  • "The tool's cost is also very low. The tool is cheaply priced. It charges around 0.13 INR per call with a duration of five minutes."
  • "Cost-wise, I would say it is all-inclusive in the payment made to Google."

Popular Use Cases

Their primary use of Google Cloud Speech-to-Text includes transcribing and analyzing calls for quality assurance, enabling chatbots to convert speech to text, and integrating with AI tools for tasks such as speech evaluation and inventory management. They also utilize it for creating chatbots that streamline processes like onboarding in IT companies, saving time and allowing support to focus on complex issues. Applications span from hackathons to professional development environments.

Service and Support

Users rarely contact Google's technical support, relying mostly on available online articles for guidance. These resources are generally sufficient for setup and troubleshooting. However, some express dissatisfaction with Google Cloud Speech-to-Text's customer service, noting subpar assistance and unclear error resolution. They highlight a gap compared to Amazon's support and mention difficulties during system migrations to Google Cloud. Despite these issues, Google Cloud Speech-to-Text performs effectively when support is excluded from evaluations.

Deployment

Users find Google Cloud Speech-to-Text's initial setup simple and efficient. Clicking the microphone button initiates use. Documentation provides guidance on deployment and setup, although some utilize it externally for transcription. The process requires accessing the developer console, creating service keys, and assigning IAM roles, aligning with standard Google Cloud procedures. Users describe the connection process as easy and straightforward.

Scalability

Google Cloud Speech-to-Text is recognized for its scalability, allowing seamless expansion when required. Users find it maintains performance at larger scales, highlighting its flexibility. It is designed to accommodate multiple users, with around ten in one organization utilizing it effectively. Its adaptability is praised, demonstrating the capability to process diverse speech inputs, including those from non-literate individuals, showcasing its robust scalability and adaptability for various needs and environments.

Stability

Google Cloud Speech-to-Text is stable and reliable with no bugs, crashes, or freezes. Users note its ability to work across platforms despite needing credentials for access. It provides speaker diarization but is slower than OpenAI's Whisper model. Though stable and well-performing, users must frequently manage API and secret keys for authentication and privacy.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Google Cloud Speech-to-Text Buyer's Guide for additional reliable information.

Top industries

By visitors reading reviews
Computer Software Company
12%
Healthcare Company
8%
Comms Service Provider
8%
Manufacturing Company
7%
Real Estate/Law Firm
5%
Energy/Utilities Company
5%
University
5%
Educational Organization
5%
Media Company
4%
Government
4%
Outsourcing Company
4%
Wholesaler/Distributor
3%
Sports Company
3%
Financial Services Firm
3%
Performing Arts
3%
Retailer
3%
Insurance Company
3%
Consumer Goods Company
2%
Non Profit
2%
Logistics Company
2%
Transportation Company
2%
Construction Company
2%
Marketing Services Firm
1%
Recreational Facilities/Services Company
1%
Import And Exporter
1%
Engineering Company
1%
Legal Firm
1%
Renewables & Environment Company
1%
Leisure / Travel Company
1%
Wellness & Fitness Company
1%

Compare Google Cloud Speech-to-Text with alternative products

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Google Cloud Speech-to-Text customers

Home Depot, Paypal, Target, HSBC, McKesson

Related questions

  • 7
When evaluating Speech-To-Text Services, what aspect do you think is the most important to look for?
  • 5
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Speech-To-Text Services

Popular Comparisons

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Google Cloud Speech-to-Text Reviews Summary
Author infoRatingReview Summary
Principal Architect & NLP Python Developer at a computer software company with 1-10 employees4.0I've used Google Cloud Speech-to-Text for five years; it's impressive in accuracy and naturalness but lacks reliability and strong support, requiring us to build workarounds and improve transcription accuracy ourselves to meet our AI engine's needs.
Software Developer at a consultancy with 11-50 employees3.5I use Google Cloud Speech-to-Text for transcribing calls with speaker diarization, despite challenges like background noise and incorrect language detection. Its diarization feature is invaluable, outweighing cost concerns from alternatives like OpenAI's Whisper, which lacks this capability.
Joint Secretary at Computer Society of India, Nirma University · Self-employed4.5I've used Google Cloud Speech-to-Text during hackathons for projects like chatbots and inventory management, appreciating its accuracy and accent handling. However, improvement in understanding Indian accents would be beneficial. Open-source alternatives lacked the precision I needed.
business analyst at Freelancer3.5In my internship, I utilized Google Cloud Speech-to-Text alongside other tools to develop a voice bot. The tool effectively converted audio to text, simplifying tasks, though it could improve by reducing authentication requirements and expanding dynamic API capabilities.
Full Stack | Machine Learning Engineer at Tiger Analytics3.5I use Google Cloud Speech-to-Text for development with Python and FastAPI. The chirp model is fast and accurate, but the telephony model lacks accuracy and live transcription capability during calls. We chose Google due to existing organizational use cases.
Director of Research and Regulatory Affairs at SafetySpect Inc3.5I find Google Cloud Speech-to-Text valuable for quick searches and document dictation, despite struggling with specialized terms. I use it seamlessly across various platforms like Chrome, ChatGPT, and Word, and it performs well on my Android phone.
SCRUM Master at a retailer with 10,001+ employees3.5No summary available
Chief Executive Officer at GC Sec5.0Google Cloud Speech-to-Text enhances my team's productivity, though its pricing could be better. The trial experience would benefit from additional minutes. No alternative solutions were considered, and there's no ROI or cloud provider information available in the review.