Try our new research platform with insights from 80,000+ expert users
Google Cloud Speech-to-Text Logo

Google Cloud Speech-to-Text Reviews

Vendor: Google
3.9 out of 5
Badge Leader
Leave a review

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, Amazon Transcribe and more!
Google Cloud Speech-to-Text is the #2 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 55% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 13% of all views.
Buyer's Guide
Google Cloud Speech-to-Text
August 2025
Get the report
Helped 866,218 peers since 2012

Featured Google Cloud Speech-to-Text reviews

Read more reviews

Google Cloud Speech-to-Text mindshare

As of August 2025, the mindshare of Google Cloud Speech-to-Text in the Speech-To-Text Services category stands at 16.4%, down from 24.2% 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-Text16.4%
Microsoft Azure Speech Service22.1%
Deepgram18.2%
Other43.3%
Speech-To-Text Services

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

TypeTitleDate
CategorySpeech-To-Text ServicesAug 29, 2025Download
ProductReviews, tips, and advice from real usersAug 29, 2025Download
ComparisonGoogle Cloud Speech-to-Text vs Microsoft Azure Speech ServiceAug 29, 2025Download
ComparisonGoogle Cloud Speech-to-Text vs DeepgramAug 29, 2025Download
ComparisonGoogle Cloud Speech-to-Text vs Amazon TranscribeAug 29, 2025Download
Suggested products
TitleRatingMindshareRecommending
Microsoft Azure Speech Service4.522.1%100%3 interviewsAdd to research
Amazon Transcribe4.011.8%100%5 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Google Cloud Speech-to-Text enhances productivity by facilitating quick searches and dictation. The tool's auto-detect language feature and stable, scalable nature are appreciated. It excels at handling accents, providing accurate real-time translation even with background noise, and benefits from speaker diarization for identifying speakers in audio calls. High accuracy and fast response times are attributed to models like the chirp model. Speakers appreciate its integration capabilities with other tools like ChatGPT.
  • "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 better multilanguage support and a mechanism to handle specialized terms. The accuracy of the telephony model is lacking, especially during lengthy calls, and background noise remains a challenge. Incorrect speaker identification and grammar issues are common. Handling various accents, particularly Indian, could improve. Users also desire enhanced AI capabilities for output autocorrection. Pricing and authentication processes need modifications, and trial experiences could benefit from extra minutes.
  • "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 find Google Cloud Speech-to-Text pricing all-inclusive with low costs, around 0.13 INR per five-minute call. Scaling for public use incurs reasonable charges. Some suggest a free version for educational projects. While implementation costs are evaluated, billing details aren't a priority for all. The overall cost is seen as reasonable, though some users are less involved in billing processes, relying on higher management for cost analysis.
  • "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

Organizations primarily use Google Cloud Speech-to-Text for transcribing audio into text for chatbots and call auditing. It aids in developing voice-assisted apps, such as corporate chatbots and speech quality evaluators. Users integrate it with backend systems for data processing and automate tasks like inventory management and call analysis, enhancing productivity and efficiency. They leverage its capabilities in real-time speech conversion during hackathons and internships for various development projects.

Service and Support

Users rarely contact Google support for Cloud Speech-to-Text, relying instead on readily available online articles for guidance. These resources are consistently found to be helpful for setup and troubleshooting. While some users have minimal direct interaction with Google's team, their projects run smoothly, supported by comprehensive documentation. Typically, dedicated technicians manage support responsibilities, allowing others to focus on their own tasks without needing to seek external help directly from Google.

Deployment

Users indicated that Google Cloud Speech-to-Text's initial setup is straightforward and easy to understand. They highlighted the need to access the developer console to create service keys and assign IAM roles, consistent with other Google Cloud services. Documentation provided helps explain deployment and setup. While it is primarily used by their clients for transcribing-related features, the setup phase requires simply clicking the microphone button on the computer to engage it.

Scalability

Google Cloud Speech-to-Text is highly scalable, enabling companies to easily expand its use as needed. Companies find it flexible and efficient, maintaining performance levels during scaling. Its adaptability includes accurately interpreting words from non-literate speakers, demonstrating its impressive scalability and flexibility. Multiple users within organizations highlight its seamless scalability, expressing confidence in its ability to handle increased demand without compromising quality.

Stability

The stability of Google Cloud Speech-to-Text is good with no bugs, glitches, or freezing reported, making it reliable. Connectivity issues are absent. Although performance is decent, speaker diarization results in slower responses than OpenAI's Whisper. Accessing it can be challenging for those without credentials due to its paid nature, and API keys must be frequently created for privacy. It can be used on various platforms.
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
13%
Manufacturing Company
7%
Comms Service Provider
7%
University
6%
Energy/Utilities Company
5%
Educational Organization
5%
Real Estate/Law Firm
5%
Healthcare Company
5%
Performing Arts
4%
Outsourcing Company
4%
Consumer Goods Company
4%
Financial Services Firm
4%
Government
4%
Retailer
4%
Insurance Company
3%
Sports Company
3%
Non Profit
3%
Wholesaler/Distributor
2%
Logistics Company
2%
Media Company
2%
Transportation Company
2%
Construction Company
2%
Legal Firm
2%
Hospitality Company
1%
Engineering Company
1%
Agriculture
1%
Leisure / Travel Company
1%
Recreational Facilities/Services Company
1%
Pharma/Biotech Company
1%
Renewables & Environment Company
1%

Compare Google Cloud Speech-to-Text with alternative products

Go!

Learn more about Google Cloud Speech-to-Text

Google Cloud Speech-to-Text customers

Home Depot, Paypal, Target, HSBC, McKesson

Related questions

  • 4
When evaluating Speech-To-Text Services, what aspect do you think is the most important to look for?
  • 4
Why is Speech-To-Text Services important for companies?

Product Categories

Product Categories
Speech-To-Text Services

Popular Comparisons

Popular Comparisons
Microsoft Azure Speech Service vs Google Cloud Speech-to-Text Logo
Microsoft Azure Speech Service vs Google Cloud Speech-to-Text
Amazon Transcribe vs Google Cloud Speech-to-Text Logo
Amazon Transcribe vs Google Cloud Speech-to-Text
Deepgram vs Google Cloud Speech-to-Text Logo
Deepgram vs Google Cloud Speech-to-Text
AssemblyAI vs Google Cloud Speech-to-Text Logo
AssemblyAI vs Google Cloud Speech-to-Text
IBM Watson Speech To Text vs Google Cloud Speech-to-Text Logo
IBM Watson Speech To Text vs Google Cloud Speech-to-Text
Speechmatics vs Google Cloud Speech-to-Text Logo
Speechmatics vs Google Cloud Speech-to-Text
See all alternatives
 
Google Cloud Speech-to-Text Reviews Summary
Author infoRatingReview Summary
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.
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.
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.