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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 …
Continue reading
Read all reviews

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
I recently used the Google Cloud Speech-to-Text tool to generate a detailed transcript of a focus group interview with prospective customers. We then transformed the raw text into polished competitive analysis reports: which helped our client revamp their product roadmap.
March 17, 2024

Use it!

Score 8 out of 10
Vetted Review
Verified User
Incentivized
Transcribed text from various audio sources can be analyzed to extract insights, trends, and patterns. This can be particularly useful in market research, product feedback sessions, or even in medical and legal professions for analyzing patient consultations or legal proceedings. Or educational institutions, Speech-to-Text can facilitate the creation of written materials from lectures and classes, supporting students who benefit from reading material in addition to or instead of listening.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Google Cloud Speech-to-text has given me more time for writing and editing materials instead of transcribing a lot. My Team works on creating a lot of SOPs and KGDs, so this functionality helps us reduce the actual amount of time spent transcribing the documents and just working on the actual document to edit and process it.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
One of our clients required live transcription for their VoIP-based call center solution. To fulfill this requirement, we seamlessly integrated Google Cloud's speech-to-text service. We chose this solution for its ease of integration and excellent performance. Our existing call center product lacked the feature of real-time text transcription for live calls. We opted to integrate Google Cloud's speech-to-text functionality to address this gap. This decision proved highly effective in resolving the problem, as it provided one of the most reliable and accurate transcription solutions available.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
I have to record a lot of information in a short time. sometimes this is a real rescue, but than it depends on the complexity of phrases and mix of medical Latin expressions and other stuff.
in some cases we need to text while traveling and this is a good solution.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
It is a fantastic tool that helps a lot in meetings. It's an efficient tool for improving efficiency by saving a lot of time typing. It saves at least 40-50% of our time, thus increasing efficiency. The amazing thing I liked about it was its accuracy in using multiple accents and multiple languages. It also takes punctuation, which is an added plus.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
I use the Google Cloud Speech-to-Text for short dictations and transcribing notes. For composing emails, I use the function instead of typing the text. There are mistakes but still generally faster than typing all the way. Since it's just a Speech-to-Text, I am also able to use it with other apps besides mail to compose short messages back and forth in a chat for example.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Google Cloud Speech-to-Text is a great tool to convert audio to text. We are mostly using this tool for daily meeting audio to text transcription which is very helpful when we want to create MoM. I guess with integration with different virtual meeting clients, we can get real time text transcription from this tool. I see great potential in this tool.
Score 7 out of 10
Vetted Review
Verified User
I use it to transcribe meetings from long recordings, and even dictate notes when I don't want to type something long. We use it to transcribe during the meeting as well so that folks can just quickly glance over the notes later instead of watching the whole recording. Business outcomes are linked to productivity and transparent communication.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
The Service Google Cloud Speech-to-Text at our organization is primarily used senior and decision making leaders to help process large volume of text information. In our space, one major business challenge is being as up to date as possible on current domestic and international current events and happenings ranging from political to financial and regulatory events that can materially impact our business operations. As a result, Google Cloud Speech-to-Text TTS technology has proven pretty solid.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
I use the speech to text application constantly. It saves me so much time writing emails, And sending messages both internally and externally. I often combine my use of speech to text with my use of chat, GPT to quickly create emails for internal and external stakeholders. I highly recommend it!
March 12, 2024

Speech to Text

Score 5 out of 10
Vetted Review
Verified User
Incentivized
This technology is incredibly helpful for the organization as it allows us to take more impactful notes during meetings and ensure all of our teams are clearly aligned in the messaging we are providing customers. The AI functionality helps us more effectively communicate with customers and sell more effectively as it gives us more accurate readings into our communications.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
I use Google Cloud Speech-to-Text to help transcribe calls; this saves a lot of time, and I don't have to pay attention as much. Additionally, it serves as a transcript of what I said so I can do better, and it helps document conversations. When it makes sense to do so, I highly recommend this tool.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
This is used to search technical design and models just by saying the word or name of the model as speech and Google just helps to translate the same and provide the accurate results and design and most of the times less accurate results is given but it is helpful most of the Times
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Converts audio to data instantly and is very easy to use during meetings. It helped to take notes and mark to do lists. Is trustable and can be implemented directly using this product by anyone in our organization
March 11, 2024

Great for dictation

Score 8 out of 10
Vetted Review
Verified User
Incentivized
We use Google Cloud Speech-to-Text to help us when we are dictating or need assistance with taking notes for a meeting, it's helpful for us so we can stay focused and not be distracted by needing to write things down. It also reduces the need for an admin in the meeting.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
I have leveraged Google Cloud Speech-to-Text to help review calls that we have recorded that have not been on our in house platform and does not have transcription. It is allowed us to provide an easy method for coaching for our account executives as well as sales development representatives
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