Google Cloud Speech-to-Text Reviews

Name: Google Cloud Speech-to-Text
Brand: Google
Rating: 3.9 (7 reviews)

3.9 out of 5

7 reviews
100% willing to recommend

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.

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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 54% 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

June 2025

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Helped 857,028 peers since 2012

Featured Google Cloud Speech-to-Text reviews

Venkatesh C S

Full Stack | Machine Learning Engineer at Tiger Analytics

Speaking about the tool's multi-language support, I can say that Google supports more languages than any other cloud provider. I have not experienced any difficulties or challenges integrating Google Cloud Speech-to-Text into our company's workflow. I would suggest others choose the model correctly. For example, you must use a telephony model whenever it is a phone call or something that has been recorded. You can just go to the console and create it first, and then you'll have the entire code on the right side so that you can directly use it in your workflow. The tool is easy to learn. Considering that the tool is not accurate when it comes to native language, especially if you are going for some regional languages in India where there are more than 100 languages, I feel that the tool doesn't support regional languages, but it supports the most widely spoken languages, so only certain areas are accurate. If the call has been placed on hold, there are some deviations. I rate the tool a seven out of ten.

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Nicholas MacKinnon

Director of Research and Regulatory Affairs at SafetySpect Inc

The one thing that I find is when I often use specialized terms, and the solution doesn't know them. I'm not sure if there's an easy way out of this, so I usually have to delete the text to correct something. That would be good if I could just tell it to change the spelling or something like that, and it'd be smart enough to figure that out.

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Alexandre Brum

Chief Executive Officer at GC Sec

Google Cloud Speech-to-Text helps to keep my team more productive Google Cloud Speech-to-Text's price could be improved. Google Cloud Speech-to-Text's trial experience could be improved by adding some extra minutes in the trial version. I have been using Google Cloud Speech-to-Text for some few…

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Google Cloud Speech-to-Text mindshare

As of June 2025, the mindshare of Google Cloud Speech-to-Text in the Speech-To-Text Services category stands at 16.9%, down from 25.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Speech-To-Text Services

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

Type	Title	Date
Category	Speech-To-Text Services	Jun 16, 2025	Download
Product	Reviews, tips, and advice from real users	Jun 16, 2025	Download
Comparison	Google Cloud Speech-to-Text vs Microsoft Azure Speech Service	Jun 16, 2025	Download
Comparison	Google Cloud Speech-to-Text vs Amazon Transcribe	Jun 16, 2025	Download
Comparison	Google Cloud Speech-to-Text vs Deepgram	Jun 16, 2025	Download

Title	Rating	Mindshare	Recommending
Microsoft Azure Speech Service	4.5	23.6%	100%	3 interviews Add to research
Amazon Transcribe	4.0	12.7%	100%	5 interviews Add to research

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.

"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."
"I would suggest Google Cloud Speech-to-Text to others, primarily for the speaker diarization feature."

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.

"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."
"Sometimes, speaker diarization is affected, leading to incorrect speaker identification."

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.