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Google Cloud Speech-to-Text

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Ratings

G2
4.5/5
(245)
Glassdoor
3.5/5
(2)

Google Cloud Speech-to-Text description

Google Cloud Speech-to-Text is a powerful software tool that converts audio to text. It offers accurate transcription in numerous languages and dialects, utilizing Google's advanced AI and deep learning technology. This API can be used for various applications, from improving customer service with transcription to analyzing audio data. It is a versatile tool suitable for businesses of all sizes seeking to convert audio into text efficiently and accurately.


Who is Google Cloud Speech-to-Text best for

Google Cloud Speech-to-Text accurately converts audio to text using AI. Users praise its accuracy and multi-language support, but some find the pricing high and struggle with accented speech. Ideal for businesses needing reliable, real-time transcription across various languages.

  • Ideal for small, medium, and enterprise businesses.

  • Best fit for Education, Software/IT, Marketing, and Media.


Google Cloud Speech-to-Text features

Supported

Speech-to-Text converts audio recordings into text, satisfying the transcription requirement.

Supported

Real-time transcription is supported via streaming speech recognition.

Supported

Speech-to-Text transcribes multiple languages but doesn't translate between them.

Supported

It supports MP3, FLAC, and likely WAV, covering multiple formats.

Supported

Speech-to-text supports accuracy measurement and improvement tools.

Supported

Speaker diarization accurately distinguishes and labels different speakers in audio.

Qualities

We evaluate the sentiment that users express about non-functional aspects of the software

Value and Pricing Transparency

Rather negative
-0.58

Customer Service

Strongly positive
+0.82

Ease of Use

Strongly positive
+0.91

Reliability and Performance

Neutral
+0.23

Ease of Implementation

Rather positive
+0.52

Scalability

Neutral
+0

Google Cloud Speech-to-Text reviews

We've summarised 241 Google Cloud Speech-to-Text reviews (Google Cloud Speech-to-Text G2 reviews) and summarised the main points below.

Pros of Google Cloud Speech-to-Text
  • Highly accurate speech-to-text conversion for clear audio.
  • Supports a wide range of languages and dialects.
  • Real-time transcription capabilities for live use cases.
  • Easy-to-use API and good documentation.
  • Seamless integration with other Google Cloud services.
Cons of Google Cloud Speech-to-Text
  • Inaccurate transcription of specific accents, names, and technical terms.
  • Pricing can be expensive for large-scale or continuous transcription needs.
  • Limited offline functionality; requires a stable internet connection.
  • Occasional latency issues, especially with real-time streaming.
  • Difficulty with dialect-heavy or heavily accented speech.

Google Cloud Speech-to-Text pricing

The commentary is based on 63 reviews from Google Cloud Speech-to-Text G2 reviews.

Google Cloud Speech-to-Text pricing is based on the amount of audio successfully processed per month, measured in seconds. Each audio channel is billed separately. Multiple channels affect billing but not monthly usage limits. The Speech-to-Text V2 API offers a dynamic batch option for processing audio at a lower level of urgency with a discounted rate. Additional volume discounts may be available for large workloads. Using other Google Cloud resources with Speech-to-Text, such as Google App Engine instances, will incur additional charges.

Users sentiment

Strongly negative
-1

See the Google Cloud Speech-to-Text pricing page.

  • Google Cloud Speech-to-Text has a free plan.

  • Google Cloud Speech-to-Text has a free trial.

Standard Recognition
$0.016 per minute/month

Standard speech recognition for various applications.

Recognition (Logged)
$0.012 per minute/month

Standard speech recognition with data logging.

Medical Dictation
$0.078 per minute/month

Speech recognition for medical dictation.

Medical Conversation
$0.078 per minute/month

Speech recognition for medical conversations.

Dynamic Batch Recognition
$0.003 per minute/month

Standard dynamic batch recognition for lower urgency processing.

Dynamic Batch Recognition (Logged)
$0.00225 per minute/month

Standard dynamic batch recognition with data logging.

Speech Recognition (with data logging)
$0.016 per minute/month

Speech recognition with data logging (V1 API).

Speech Recognition (without data logging)
$0.024 per minute/month

Speech recognition without data logging (V1 API).

Speech Recognition (without data logging)
$0.078 per minute/month

Speech recognition for medical applications (V1 API).


Google Cloud Speech-to-Text alternatives

  • Logo of Ava
    Ava
    Clear captions for meetings and life, online and offline.
    Read more
  • Logo of Crescendo Speech Recognition
    Crescendo Speech Recognition
    Accurate voice-to-text, boosting workflow efficiency without training.
    Read more
  • Logo of Deepgram
    Deepgram
    Accurate, insightful speech-to-text API for developers.
    Read more
  • Logo of Beey.io
    Beey.io
    Fast, accurate audio & video transcription, in many languages.
    Read more
  • Logo of Google Cloud Text-to-Speech
    Google Cloud Text-to-Speech
    Turns text into lifelike speech, powered by Google's AI.
    Read more
  • Logo of Konch.ai
    Konch.ai
    AI-powered transcription and meeting assistant for accurate notes.
    Read more

Google Cloud Speech-to-Text FAQ

  • What is Google Cloud Speech-to-Text and what does Google Cloud Speech-to-Text do?

    Google Cloud Speech-to-Text is an API powered by AI that accurately converts audio to text. It supports numerous languages and dialects, offers real-time transcription, and integrates with other Google Cloud services. Businesses use it for applications like customer service improvement and audio data analysis.

  • How does Google Cloud Speech-to-Text integrate with other tools?

    Google Cloud Speech-to-Text seamlessly integrates with other Google Cloud services, facilitating streamlined workflows. It also offers API integration capabilities, enabling connection with various third-party tools and platforms for expanded functionality and custom solutions. This enhances flexibility and allows for comprehensive data analysis and application development.

  • What the main competitors of Google Cloud Speech-to-Text?

    Top alternatives to Google Cloud Speech-to-Text include AssemblyAI, Amazon Transcribe, Microsoft Azure Speech to Text, and Deepgram. These competitors offer similar speech-to-text capabilities with varying features, pricing models, and accuracy levels. They are suitable for businesses seeking alternative solutions for audio transcription.

  • Is Google Cloud Speech-to-Text legit?

    Yes, Google Cloud Speech-to-Text is a legitimate and safe software. It leverages Google's robust AI, offering accurate audio-to-text transcription in multiple languages and dialects. It's a reliable tool suitable for various applications, though users note occasional issues with heavily accented speech.

  • How much does Google Cloud Speech-to-Text cost?

    Google Cloud Speech-to-Text pricing depends on the features used and audio duration. Short audio costs $0.006 per 15 seconds, while long audio is $0.004 per 15 seconds. Additional features like enhanced models incur extra costs. Contact sales for enterprise pricing.

  • Is Google Cloud Speech-to-Text customer service good?

    Customer service for Google Cloud Speech-to-Text is generally viewed positively. Users highlight helpful and responsive customer support. While the software is praised for its accuracy and features, some find occasional issues with specific accents or technical terms.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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