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  3. Speech-to-Text
Logo of Speech-to-Text

Speech-to-Text

byGoogle
in Speech Analytics Platforms (Transitioning to Conversation Analytics Platforms)
4.3

Overview

Product Information on Speech-to-Text

Updated 13th October 2025

What is Speech-to-Text?

Speech-to-Text is a software developed by Google that enables automatic conversion of spoken language into written text. The software employs machine learning models to transcribe audio into text in real time or from prerecorded files. It supports multiple languages and can recognize various dialects and accents. The software integrates with other applications via application programming interfaces, allowing businesses to process voice commands and transcribe customer interactions. It assists in automating workflows that involve audio inputs, such as call center recordings, dictations, and media content, thereby improving operational efficiency and accessibility for organizations that handle large volumes of spoken information.

Speech-to-Text Pricing

Speech-to-Text software uses a usage-based pricing model where charges are applied based on the duration of audio processed. The software typically offers different rates depending on features such as real-time or batch processing and enhanced models, with monthly quotas and volume discounts available in some cases.

Overall experience with Speech-to-Text

Customer Service & Support Associate
<50M USD, Services (non-Government)
FAVORABLE

“Accuracy High For Clear Speech But Struggles With Accents And Noise Areas”

4.0
Feb 6, 2026
With the app what has worked well: 1. High accuracy for clear speech. The app performs very well when speech is clear and at a normal pace, especially for standard accents and commonly used phrases. 2. Real-time transcription. Speech is converted to text almost instantly, which makes it efficient for note taking, messaging and quick documentation. 3. Strong language support. Google's speech-to-text supports multiple languages and can switch between them fairly smoothly. 4. Easy Integration. It works seamlessly across Google products (Docs, Search, Android keyboard) making it convenient and accessible without additional set up. 5. Punctuation and formatting improvements. Automatic punctuation has improved over time and generally produces readable, well structured text. What has not worked well: 1. Struggles with accents and background noise. Accuracy decreases noticeably with strong accents, overlapping speech, or noise environment. 2. Limited customization. Users have little to no control over vocabulary training, custom terms, or industry specific language. 3. Inconsistent punctuation accuracy. While improved, punctuation can still be incorrect or missing, requiring manual edits. 4. Speaker differentiation issues. It does not reliably distinguish between multiple speakers in conversations.
CUSTOMER SERVICE & SUPPORT ASSOCIATE
<50M USD, Travel and Hospitality
CRITICAL

“Editing Limitations and Inaccurate Transcriptions Impact Overall Product Experience”

3.0
Dec 16, 2025
Sometimes it works really well, but most of the time it doesn't do a great job of transcribing what I want to say. Ideally, it could be something where I could hands free talk and have it write what i said accurately, but a lot of times there are a lot of texts that have mistakes.

About Company

Company Description

Updated 25th July 2024

Googlers is a company that creates products intended to create opportunities for an extensive audience, regardless of their location across the globe. The company values diverse perspectives, imaginations and non-conformity to predefined norms and impossibilities. The goal is to build products while incorporating uniqueness of each individual involved in this process, aiming to make their products accessible and useful to all.

Company Details

Updated 11th November 2024
Company type
Public
Year Founded
1998
Head office location
Mountain View, CA, United States
Annual Revenue
30B+ USD
Website
www.google.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

Reviewer Insights for: Speech-to-Text
Performance of Speech-to-Text Across Market Features

Speech-to-Text Likes & Dislikes

Like

1. Real-time speech recognition. Speech is transcribed almost instantly, enabling fast note-taking and live dictation without noticeable delays. 2. High transcription accuracy. Google's AI delivers strong accuracy for clear speech, making it reliable for everyday dictation and professional use. 3. Multi-language Support. Supports a wide range of languages and can detect or switch languages during use.

Like

I like how responsive it is when I first activate it. The speed at which it writes also is very quick. It's fairly easy to use as well.

Like

First, which is I think the most obvious one, it does help you in times when you can't use your hands too much, it still gives you the opportunity to use your device as normal as it can possibly be. Second, since it is from Google, it is integrated in many of their other products, especially Google Docs and Google Meet which is a really good addition for transcription purposes. Lastly, it's transcription of the words you say is almost instant, which again is good for transcribing purposes.

Dislike

1. Support limitations: Direct, personalized customer support is limited, with most assistance relying on documentation and community resources. 2. Dependence on Internet Connectivity. Accuracy and functionality are significantly better when online; offline capabilities are limited. 3. Speaker Identification Limitations: The solution does not consistently distinguish between multiple speakers in conversation, limiting its usefulness for meetings or interviews.

Dislike

There are usually multiple times it puts a word I didn't say. Trying to start over can be a pain. Not really great options to edit, feel like I just need to start over.

Dislike

I think the most obvious one is that there is still a bias when it comes to people who have accents; sometimes like I said, people with accents have to exaggerate a bit more so that the speech-to-text can pick up on the words they're saying. Also, I think sometimes instead of it being a time saver sometimes it can be more of a hassle to use due to its errors so sometimes you would have to manually change the words that it picked up wrong. Google's speech-to-text is internet dependent and doesn't work without a connection, which is sometimes an issue.

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Peer Discussions

Speech-to-Text Reviews and Ratings

4.3

(29 Ratings)

Rating Distribution

5 Star
45%
4 Star
52%
3 Star
3%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.3

Integration & Deployment

4.4

Service & Support

4.5

Product Capabilities

4.6

Filter Reviews
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Most helpful
Last 12 Months
Star Rating
Reviewer Type
Reviewer's Company Size
Reviewer's Industry
Reviewer's Region
Reviewer's Job Function
  • Customer Service & Support Associate
    <50M USD
    Services (non-Government)
    Review Source

    Accuracy High For Clear Speech But Struggles With Accents And Noise Areas

    4.0
    Feb 5, 2026
    With the app what has worked well: 1. High accuracy for clear speech. The app performs very well when speech is clear and at a normal pace, especially for standard accents and commonly used phrases. 2. Real-time transcription. Speech is converted to text almost instantly, which makes it efficient for note taking, messaging and quick documentation. 3. Strong language support. Google's speech-to-text supports multiple languages and can switch between them fairly smoothly. 4. Easy Integration. It works seamlessly across Google products (Docs, Search, Android keyboard) making it convenient and accessible without additional set up. 5. Punctuation and formatting improvements. Automatic punctuation has improved over time and generally produces readable, well structured text. What has not worked well: 1. Struggles with accents and background noise. Accuracy decreases noticeably with strong accents, overlapping speech, or noise environment. 2. Limited customization. Users have little to no control over vocabulary training, custom terms, or industry specific language. 3. Inconsistent punctuation accuracy. While improved, punctuation can still be incorrect or missing, requiring manual edits. 4. Speaker differentiation issues. It does not reliably distinguish between multiple speakers in conversations.
  • CUSTOMER SERVICE & SUPPORT ASSOCIATE
    50M-1B USD
    Services (non-Government)
    Review Source

    Hands-Free Device Control Enabled, Yet Accent Bias Impacts Speech Recognition Accuracy

    4.0
    Dec 16, 2025
    It does work well as it picks up the majority of the words I say, however sometimes I would have to exaggerate the words I say in order for the speech-to-text to get it right.
  • Sales Manager
    50M-1B USD
    Finance (non-banking)
    Review Source

    Consistent Accuracy and Broad Language Support in Speech-to-Text Applications Noted

    4.0
    Feb 11, 2026
    Speech-to-Text has been excellent. It consistently delivers accurate transcriptions across a wide range of audio types, supports many languages, and integrates smoothly with other tools and workflows. For anything from meeting recordings to automated voice processing, it’s been reliable and powerful.
  • Senior Language Advisor
    50M-1B USD
    Software
    Review Source

    Google STT Delivers Strong Speech Recognition in Noisy Environments With Many Languages

    5.0
    Feb 3, 2026
    I consider Google STT to be the heavyweight champion of transcription, and to be honest, it's the go-to choice for anyone that needs massive scale, security and global language support as it supports over 120 languages and variants.
  • CUSTOMER SERVICE & SUPPORT ASSOCIATE
    <50M USD
    Travel and Hospitality
    Review Source

    Editing Limitations and Inaccurate Transcriptions Impact Overall Product Experience

    3.0
    Dec 16, 2025
    Sometimes it works really well, but most of the time it doesn't do a great job of transcribing what I want to say. Ideally, it could be something where I could hands free talk and have it write what i said accurately, but a lot of times there are a lot of texts that have mistakes.
Showing Result 1-5 of 32

Recommended Gartner Research

  • Market Guide for Speech Analytics Platforms (Transitioning to Conversation Analytics Platforms)

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