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Google Cloud Speech-to-Text

Google Cloud Speech-to-Text

Overview

What is Google Cloud Speech-to-Text?

Speech-to-Text on Google Cloud is a tool used to convert speech into text using an API powered by Google’s AI technologies. The vendor states users can transcribe content in real time or from stored files; deliver a better user experience…

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Recent Reviews

Use it!

8 out of 10
March 17, 2024
Incentivized
Transcribed text from various audio sources can be analyzed to extract insights, trends, and patterns. This can be particularly useful in …
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Speech to Text

5 out of 10
March 12, 2024
Incentivized
This technology is incredibly helpful for the organization as it allows us to take more impactful notes during meetings and ensure all of …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Reviewer Pros & Cons

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Pricing

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Speech-to-Text V2 API

$0.016

Cloud
per min

Speech-to-Text V1 API

$0.024

Cloud
per min

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://cloud.google.com/speech-to…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Details

What is Google Cloud Speech-to-Text?

Google Cloud’s Speech API processes more than 1 billion voice minutes per month, and boasts close to human levels of understanding for many commonly spoken languages. Powered by Google's AI research and technology, Google Cloud's Speech-to-Text API helps users to accurately transcribe speech into text in 73 languages and 137 different local variants. Google’s deep learning neural network algorithms can be leveraged for automatic speech recognition (ASR), and ASR cam be deployed wherever it is needed, whether in the cloud with the API, on-premises with Speech-to-Text On-Prem, or locally on any device with Speech On-Device.

The service includes up to 60 minutes for transcribing and analyzing audio free per month. (Applies to processing audio with the Speech-to-Text V1 API only.)


Advanced speech AI

Speech-to-Text can utilize Chirp, Google Cloud’s foundation model for speech trained on millions of hours of audio data and billions of text sentences. This contrasts with traditional speech recognition techniques that focus on large amounts of language-specific supervised data. These techniques give users improved recognition and transcription for more spoken languages and accents.


Support for 125 languages and variants

Build for a global user base with extensive language support. The service transcribes short, long, and even streaming audio data. Speech-to-Text also offers users more accurate and globe-spanning translation and recognition with Chirp, the next generation of universal speech models. Chirp was built using self-supervised training on millions of hours of audio and 28 billion sentences of text spanning 100+ languages.


Pretrained or customizable models for transcription

Offers a selection of trained models for voice control, phone call, and video transcription optimized for domain-specific quality requirements. Users can customize, experiment with, create, and manage custom resources with the Speech-to-Text UI.


Out-of-the-box regulatory and security compliance

Speech-to-Text API v2 gives enterprise and business customers added security and regulatory requirements out of the box. Data residency enables the invocation of transcription models through a fully regionalized service that taps into Google Cloud regions like Singapore and Belgium. Recognizer resourcefulness eliminates the need for dedicated service accounts for authentication and authorization. Logs for resource generation and transcription are made easily available in the Google Cloud console. And Speech-to-Text API v2 offers enterprise-grade encryption with customer-managed encryption keys for all resources as well as batch transcription.


AI-powered speech recognition and transcription

Speech-to-Text uses model adaptation to improve the accuracy of frequently used words, expand the vocabulary available for transcription, and improve transcription from noisy audio. Model adaptation lets users customize Speech-to-Text to recognize specific words or phrases more frequently than other options that might otherwise be suggested. For example, you could bias Speech-to-Text towards transcribing "weather" over "whether."


Streaming speech recognition

Sends real-time speech recognition results as the API processes the audio input streamed from connected application’s microphone or sent from a prerecorded audio file (inline or through Cloud Storage).

Google Cloud Speech-to-Text Features

  • Supported: Global vocabulary
  • Supported: Streaming speech recognition
  • Supported: Speech adaptation
  • Supported: Speech-to-Text On-Prem
  • Supported: Multichannel recognition
  • Supported: Noise robustness
  • Supported: Domain-specific models
  • Supported: Content filtering
  • Supported: Transcription evaluation

Google Cloud Speech-to-Text Screenshots

Screenshot of audio transcription creation -  Using the Speech-to-Text API from within the Cloud Console by creating an audio transcription is done in just a few steps. It can transcribe short, long, and streaming audio.Screenshot of creating subtitles for videos using AI -  Transcriptions with captions and subtitles can be added to existing content or in real time to streaming content. Google's video transcription model can be used for indexing or subtitling video and/or multispeaker content and uses similar machine learning technology as YouTube does for video captioning.Screenshot of adding Speech-to-Text to apps - The video pictures covers how to add AI to an application without extensive machine learning model experience. The pretrained Speech-to-Text API lets users enable AI for applications.Screenshot of Language, speech, text, and translation with Google Cloud API - The pictures displays a section of Google training course, where learners use the Speech-to-Text API to transcribe an audio file into a text file, translate with the Google Cloud Translation API, and create synthetic speech with Natural Language AI.

Google Cloud Speech-to-Text Video

How to use Speech-to-Text

Google Cloud Speech-to-Text Competitors

Google Cloud Speech-to-Text Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Mac
Mobile ApplicationNo

Frequently Asked Questions

Speech-to-Text on Google Cloud is a tool used to convert speech into text using an API powered by Google’s AI technologies. The vendor states users can transcribe content in real time or from stored files; deliver a better user experience in products through voice commands; and, gain insights from customer interactions to improve service.

Azure AI Speech, Amazon Transcribe, and IBM Watson Speech to Text are common alternatives for Google Cloud Speech-to-Text.

The most common users of Google Cloud Speech-to-Text are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(42)

Attribute Ratings

Reviews

(1-20 of 20)
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Loana Alonso Nava | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
What sets Google's offering apart are its industry-leading accuracy, real-time transcription, and seamless integrations. Its advanced neural networks can decipher even the most obscure industry jargon or regional accents with uncanny precision. Gone are the days of manually transcribing interviews or videos-today's AI-powered tools have made this once arduous task a seamless breeze.
March 17, 2024

Use it!

Score 8 out of 10
Vetted Review
Verified User
Incentivized
Analyze the transcribed text to identify common issues, trends, and customer sentiments, which inform product improvements and customer service training.
Score 9 out of 10
Vetted Review
Verified User
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.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Well Suited: 1. An Amazing tool that helps a lot in meetings. 2. It's an efficient tool for improving efficiency by saving a lot of time in typing. It saves at least 40-50% of our time, thus increasing efficiency. 3. The amazing thing I liked about it is the accuracy with multiple accents & multiple languages. 4. It also takes punctuation, which is an added plus. Less Suited: 1. Implementation is challenging & time-consuming. 2. It's pricey. So, you only have to use the relevant services/features. Therefore, exploring is limited. 3. Sometimes, one must be very aware of the background noises. Would be great if noise cancellations were introduced. 4. There will sometimes be a lag in conversion due to a poor internet connection. If this can be addressed somehow, that would be great.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
It has helped me in writing minutes of meetings without missing the context that was discussed in the meeting. Since we work on a global landscape, Its good for getting meeting summaries from other regions that speak a different language than us. With integration with AI, it can generate meeting summaries also by itself just like we have in other tools.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
For our use, I think we may be using the services in a more limited scope. We do not have large call centers transcribing text to speech or other large applications uses. However, in the smaller scope that we do use it, the cost structure is quire reasonable and find the stated services very useful.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Using speech to text is especially great for internal messages, but I will use it externally as well. You just have to ensure that you are spotcheck. All of your work as there can be occasional slip ups. For the most part, it works great for me, but I know that my colleague who has a French accent has a difficult time using it.
March 12, 2024

Speech to Text

Score 5 out of 10
Vetted Review
Verified User
Incentivized
This technology/tool is great for taking notes in team meetings and on client calls. This technology helps us better understand our customers and allows us as salespeople to be more focused and present within meetings because we aren’t also worrying about taking notes. This allows us to better engage with our customers and make more informed business decisions/have more informed business conversations.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Google Cloud Speech-to-Text is great for live conversation translation; when trying to understand someone internationally and working in different areas, this tool helps break down barriers, ultimately making the world a better place and improving all of our collective success. This is especially important in my world of global banking and international payments.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
This is well suited for business where the search is involved of complex designs and models and we could just give the input as speech by using audio option and Google helps to provide accurate results most of the timee by giving related contents and proper references for those design and related documentation
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Based on my experience with the product, I'd say there are a various number of use cases applicable here... one would be to compile recordings for documentation. Meeting minutes can be easily documented for later review and obsorbsion. The revised is also true !
March 11, 2024

Great for dictation

Score 8 out of 10
Vetted Review
Verified User
Incentivized
Google Cloud Speech-to-Text is great for note taking during a meeting. I have also used it to dictate write ups for things when I am stream of consciousness thinking or talking and not in a place where I am easily able to take notes. It alleviates the burden of writing everything down.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
I believe that Google Cloud Speech-to-Text can be used for any scenario where transcription is necessary. A big value add is all the languages that are included as part of the subscription, our organization operates across several different countries so having this be included is a big plus. My only concern is the content limit of files for API
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