Top Pick

Google Cloud Speech-to-Text Description

An API powered by Google's AI technology allows you to accurately convert speech into text. You can accurately caption your content, provide a better user experience with products using voice commands, and gain insight from customer interactions to improve your service. Google's deep learning neural network algorithms are the most advanced in automatic speech recognition (ASR). Speech-to-Text allows for experimentation, creation, management, and customization of custom resources. You can deploy speech recognition wherever you need it, whether it's in the cloud using the API or on-premises using Speech-to-Text O-Prem. You can customize speech recognition to translate domain-specific terms or rare words. Automated conversion of spoken numbers into addresses, years and currencies. Our user interface makes it easy to experiment with your speech audio.

Pricing

Pricing Starts At:
Free ($300 in free credits)
Pricing Information:
New customers get $300 in free credits to spend on Speech-to-Text during the first 90 days.

No automatic charges. You only start paying if you decide to activate a full, pay-as-you-go account or choose to prepay. You’ll keep any remaining free credit.

Free usage includes:

Standard models (all models except enhanced video and phone call): Under 60 minutes is free

Enhanced models (video, phone call): Under 60 minutes is free
Free Version:
Yes
Free Trial:
Yes

Integrations

API:
Yes, Google Cloud Speech-to-Text has an API

Reviews - 8 Verified Reviews

Total
ease
features
design
support

Company Details

Company:
Google
Year Founded:
1998
Headquarters:
United States
Website:
Update This Listing

Media

Product Details

Platforms
Web-Based
On-Premises
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Training Videos
Customer Support
Business Hours
Online Support

Google Cloud Speech-to-Text Features and Options

Speech to Text Software

Google Cloud Speech-to-Text offers an advanced way to transform spoken words into text, simplifying the process of analyzing audio content and generating transcriptions. Its impressive accuracy, even in challenging acoustic conditions, makes it a dependable option for essential tasks such as transcribing customer service calls and powering voice-activated applications. The platform accommodates various languages and can recognize different speakers, making it particularly useful for interviews, meetings, and conferences. New users have the opportunity to try out this innovative technology with $300 in complimentary credits, enabling them to evaluate the service's features before making a more significant financial commitment.

Transcription Software

Google Cloud Speech-to-Text stands out as a premier transcription solution that converts audio files into precise, editable text. With compatibility for numerous audio formats and languages, it caters to diverse transcription requirements across multiple sectors. Whether you're processing podcasts, legal documentation, or customer service conversations, this service is equipped to handle different audio environments, delivering clear and dependable transcriptions. New users can take advantage of $300 in complimentary credits, allowing them to explore the service’s transcription features without any financial commitment and evaluate how it can improve their operational processes.

AI / Machine Learning
Annotations
Audio/Video File Upload
Automatic Transcription
Collaboration Tools
File Sharing
For Manual Transcription
Full Text Search
Multi-Language Support
Natural Language Processing (NLP)
Playback Controls
Speech Recognition
Subtitles
Text Editor
Timecoding

Speech Recognition Software

Google Cloud Speech-to-Text stands out for its exceptional capabilities in recognizing spoken language, delivering a trustworthy method for converting audio into written text. Its sophisticated machine learning algorithms are designed to understand a diverse array of accents, dialects, and speech nuances, ensuring precise transcription across multiple languages. The platform's ability to transcribe in real-time makes it particularly suitable for scenarios that demand prompt responses, such as customer support interactions or digital assistants. Moreover, this service is adept at interpreting context, allowing it to perform well in noisy settings and manage specialized vocabulary effortlessly. New users can take advantage of $300 in free credits, making it an economical option for integrating speech recognition technology into your business or application.

Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition

Artificial Intelligence Software

Google Cloud Speech-to-Text utilizes advanced artificial intelligence technology to transform spoken words into written format. By employing deep learning techniques, it achieves impressive accuracy in detecting and transcribing speech, even amidst background noise. The underlying AI consistently evolves, accommodating a wide range of accents, dialects, and specialized vocabularies. This flexibility positions it as an essential resource for international companies that need precise transcriptions across diverse languages and regions. New users can benefit from a $300 credit, making this AI-driven solution ideal for organizations aiming to seamlessly implement advanced speech-to-text capabilities into their operations, delivering both exceptional performance and user-friendliness.

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Medical Transcription Software

Google Cloud Speech-to-Text provides tailored functionalities specifically designed for medical transcription, enabling healthcare professionals to swiftly transform spoken clinical notes into precise written documents. Leveraging cutting-edge speech recognition algorithms and machine learning techniques, the platform excels at comprehending medical jargon, thereby enhancing transcription accuracy within this specialized domain. The system is adept at processing a variety of accents and speech patterns, making it a valuable resource for physicians and healthcare workers around the world. Additionally, its capability to transcribe audio in real-time streamlines workflows and minimizes the time dedicated to manual record-keeping. New users are offered $300 in complimentary credits to experiment with this technology and discover how it can optimize their medical transcription efforts.

Abbreviation Expansion
Archiving & Retention
Audio File Management
Audio Transmission
Customizable Macros
Transcription Reporting
Voice Capture
Voice Recognition

Machine Learning Software

Google Cloud Speech-to-Text leverages advanced machine learning technologies to refine its transcription precision and flexibility. The platform evolves continuously, drawing insights from extensive voice data, which enhances its performance in practical settings. It is adept at recognizing speech nuances, variations in tone, and effectively handling challenging audio environments, ensuring dependable transcription across diverse use cases. This makes it an excellent choice for organizations looking for scalable and automated transcription solutions. New users can benefit from $300 in complimentary credits, enabling them to discover how this AI-driven service can streamline their transcription tasks and improve overall workflow efficiency.

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Text to Speech Software

Google Cloud Speech-to-Text is designed primarily for transcribing spoken words into written text, but it works in harmony with text-to-speech solutions to deliver a fluid voice interaction experience. By integrating this service with others, users have the ability to not only transcribe audio but also transform text back into lifelike speech, which is perfect for developing interactive voice applications. This technology proves particularly beneficial for enhancing accessibility, aiding those with visual impairments, or powering voice-activated devices. New users can take advantage of their $300 credits to explore both text-to-speech and speech-to-text functionalities, allowing them to craft a rich voice-driven experience for their audience.

API
Adjust Speaking Rate / Pitch
Audio Optimization
Custom Lexicons
Different Voice Choices
Multi-Language Support
Synchronize Speech

Subtitle Generator

Google Cloud Speech-to-Text enables effortless generation of subtitles by transforming spoken words into text instantly, making it an ideal tool for adding captions to videos. This service is capable of recognizing different speakers, which enhances the accuracy of subtitles in settings such as interviews, panel discussions, and dialogues. Supporting more than 120 languages and accents, it makes content accessible to audiences worldwide. This functionality is particularly beneficial for media organizations, educators, and content creators aiming to expand their reach. New users can take advantage of $300 in complimentary credits to explore this subtitle generation capability and discover how it can enhance content accessibility.

Closed Captioning Software

Google Cloud Speech-to-Text serves as an essential resource for closed captioning solutions, enabling precise transcription of spoken dialogue into written text instantaneously. By transforming audio into captions for video material, it effectively broadens accessibility for a diverse audience, particularly benefiting individuals with hearing disabilities. The platform's capability to recognize a variety of languages and accents guarantees high accuracy in transcripts, even in multilingual settings. Additionally, it can identify different speakers, improving the clarity of captions for interviews, panel discussions, and presentations. New users can take advantage of a $300 credit to explore this closed captioning feature, offering a seamless method to incorporate accessibility into their video projects.

Artificial Intelligence (AI) APIs

The Google Cloud Speech-to-Text API is a robust artificial intelligence tool designed for developers who want to incorporate speech recognition features into their applications effortlessly. This API enables real-time processing of audio input, converting it into text, which makes it ideal for diverse uses such as voice search and interactive applications. Its adaptability is further demonstrated by its capacity to work with multiple audio formats and accommodate different speech patterns. Moreover, it boasts advanced functionalities for managing longer audio recordings and distinguishing between multiple speakers, providing a more thorough transcription experience. New users can also take advantage of $300 in complimentary credits to test out these AI capabilities, allowing them to fully explore the API's offerings without any upfront costs.

AI Tools

Google Cloud Speech-to-Text provides a comprehensive set of AI-driven tools that enable developers to incorporate sophisticated speech recognition features into their software. Leveraging the capabilities of machine learning, this service offers precise and efficient transcription of audio into text across more than 120 languages and dialects. It's a perfect solution for converting spoken content into written form, making it suitable for applications in call centers, virtual assistants, and meeting note-taking. Furthermore, it is equipped to manage challenging audio conditions, delivering dependable transcriptions even in noisy environments. New users are also welcomed with $300 in free credits to experiment with Google Cloud Speech-to-Text, allowing businesses to explore its innovative features without a heavy initial financial commitment.

Google Cloud Speech-to-Text User Reviews

Write a Review
  • Name: Jake S.
    Job Title: Customer Experience leader
    Length of product use: 6-12 Months
    Used How Often?: Weekly
    Role: User
    Organization Size: 26 - 99
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Google Cloud Speech-to-Text review

    Date: Nov 30 2024

    Summary: It is easily recognize the speech and convert to text this saves time which would be used by someone to transcribe.

    Positive: This software has multiple languages and can convert speech to different languages in Text form.

    Negative: It is quite quick and therefore I have no dislike about it.

    Read More...
  • Name: Jeffer P.
    Job Title: General secretary
    Length of product use: 6-12 Months
    Used How Often?: Weekly
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    All time better transcriber.

    Date: Nov 21 2024

    Summary: It doesn't need coding to use and it's a part of Google workspace therefore no subscription is needed

    Positive: It easily recognize, arrange and re-organize text transcribed from voices and eliminates most errors in speeches.

    Negative: To be honest most times convert speech to text, Text may have man errors in case words in speech are not properly pronounced.

    Read More...
  • Name: Kennedy O.
    Job Title: Data scientist
    Length of product use: 6-12 Months
    Used How Often?: Daily
    Role: User
    Organization Size: 26 - 99
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Google Cloud Speech-to-Text review

    Date: Nov 19 2024

    Summary: The API's ease of integration with developers support, simplifies the implementation process, its performance is reliable, providing accurate transcription that helps to maintain high quality interactions.

    Positive: It's highly efficient at transcribing spoken language into text, making it invaluable for real time application like voice controlled assistants.

    Negative: As any other translator, it can't be accurate 100% and it leaves others not transcribed.

    Read More...
  • Name: Ayush G.
    Job Title: C Parts Expert
    Length of product use: 2+ Years
    Used How Often?: Daily
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Transforming speech into text with Precision

    Date: Jan 20 2024

    Summary: Overall experience has been positive, The API's diverse integration capabilities make it a valuable asset for applications requiring high quality speech to text.

    Positive: The API's flexibility allows for dynamic control over speech parameters, such as pitch & speaking rate, enabling customization to suite specific application requirements.

    Negative: The cost structure, especially for large scale & continuous usage, may become a significant factor for certain applications with high speech to text demand.

    Read More...
  • Name: Winnie A H.
    Job Title: Account Manager
    Length of product use: 6-12 Months
    Used How Often?: Daily
    Role: User
    Organization Size: 26 - 99
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Simplifes work

    Date: Sep 09 2024

    Summary: To be honest it is the best speech to text convertor, i have used because it full support and give out the expected out put with no grammar errors.

    Positive: Google cloud speech-to-text is easy to setup and mostly it supports multiple languages there it easily recognise audio in different languages and transcribe it to text in a very short period time.

    Negative: i have no issues with Google Cloud Speech-to-Text because it works effectively.

    Read More...
  • Name: Anonymous (Verified)
    Job Title: HR
    Length of product use: 2+ Years
    Used How Often?: Daily
    Role: User
    Organization Size: 5,000 - 9,999
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    My Experience with Google Cloud Speech-to-Text

    Date: Sep 07 2024

    Summary: Google Cloud Speech-to-Text has been a useful tool for my transcription needs, offering strong accuracy and real-time processing. While it can be costly and has a few downsides like occasional lag and privacy concerns, it’s generally effective and integrates well with other Google services.

    Positive: Accurate Transcriptions: I found the transcriptions to be quite accurate, handling different accents and specialized terms well.
    Real-Time Processing: The real-time transcription feature was a big plus for live events and meetings.
    Multilingual Support: The ability to transcribe in various languages made it handy for global projects. Smooth Integration: It worked well with other Google Cloud tools I was already using.

    Negative: - Cost: The service can get pricey, especially if you use it frequently.
    - Some Lag: Occasionally, there was a delay in real-time transcription for longer or more complex audio.
    - Privacy Concerns: I was a bit concerned about sending sensitive data to the cloud.

    Read More...
  • Name: Anis A.
    Job Title: Ownership Workflow Coordinator
    Length of product use: 1-2 Years
    Used How Often?: Daily
    Role: User
    Organization Size: 26 - 99
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Accurate and Scalable Speech Recognition

    Date: Jan 22 2024

    Summary: A reliable and accurate method for translating spoken words into text is Google Cloud Speech-to-Text. It is a useful tool for many applications, including voice-activated apps and transcription services, because to its excellent accuracy, multi-language compatibility, and integration capabilities with other Google Cloud services.

    Positive: With the use of cutting-edge machine learning models, Google Cloud voice-to-Text achieves excellent voice recognition accuracy. It is appropriate for a wide range of applications since it functions effectively in a variety of languages and accents.

    Negative: The Google Cloud Speech-to-Text pricing mechanism is dependent on the volume of processed audio, notwithstanding its accuracy and power. Businesses that handle large amounts of voice data should carefully weigh the accompanying expenses.

    Read More...
  • Name: Usman S.
    Job Title: User
    Length of product use: 1-2 Years
    Used How Often?: Daily
    Role: User
    Organization Size: 1 - 25
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Google Cloud Speech-to-Text review

    Date: Sep 17 2024

    Summary: Google Cloud Speech-to-Text is a highly accurate, reliable, and fast transcription service, perfect for businesses looking for a scalable solution. Its customization options and integration with other Google services make it a top choice for speech recognition tasks.

    Positive: Google Cloud Speech-to-Text is incredibly accurate, even for complex accents and languages. It supports real-time transcription, which is essential for live applications like customer service or meetings. The integration with Google Cloud makes it easy to scale, and its wide array of customization options allows users to fine-tune for specific use cases, like medical or legal transcription.

    Negative: One minor drawback is that pricing can add up quickly for large-scale projects. Additionally, background noise can sometimes affect the accuracy, though the API offers noise-cancellation features to mitigate this.

    Read More...
  • Previous
  • You're on page 1
  • Next