Google Cloud Speech-to-Text vs. ListNote Speech-to-Text Notes

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud Speech-to-Text
Score 8.3 out of 10
N/A
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.
$0.02
per min
ListNote
Score 0.0 out of 10
N/A
ListNote is a note taking app that enables the user to speak a note, and it will be saved as text. The app was designed to quickly jot down ideas, with minimal hassle and help the user keep organized.N/A
Pricing
Google Cloud Speech-to-TextListNote Speech-to-Text Notes
Editions & Modules
Speech-to-Text V2 API
$0.016
per min
Speech-to-Text V1 API
$0.024
per min
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Offerings
Pricing Offerings
Google Cloud Speech-to-TextListNote
Free Trial
YesNo
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsSpeech-to-Text V1 API V1 offers data residency for multi region only. Models include short, long, phone call, and video. V1 does not include audit logging. New customers get $300 in free credits and 60 minutes for transcribing and analyzing audio free per month, not charged against your credits. Speech-to-Text V2 API V2 offers data residency for multi and single region. Models include short, long, telephony, video, and Chirp. V2 does include audit logging and support for customer managed encryption keys.
More Pricing Information
User Ratings
Google Cloud Speech-to-TextListNote Speech-to-Text Notes
Likelihood to Recommend
8.0
(0 ratings)
-
(0 ratings)
Usability
8.3
(0 ratings)
-
(0 ratings)
User Testimonials
Google Cloud Speech-to-TextListNote Speech-to-Text Notes
Likelihood to Recommend
In our real time meetings or webinars where larger audience are expected we have enabled the captions options with Google Cloud Speech-to-Text tool this start transcribing the complete audio conversation in the neat text format. Also while performing the interview process as well we use this tool to make sure that we adhere to certain rules and are being checked by the superior management team to make sure the transcription has required questions being asked on for quality analysis. Also during the customer call we use this tool to make sure two way communication is transcribed and will be later reviewed when there is an escalation by the superior management
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Pros
  • An amazing tool which helps a lot in a 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.
  • Incredible accuracy with multiple accents & multiple language.
  • It takes punctuation into consideration.
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Cons
  • The software does occasionally get confused by confusing terminology.
  • Its web-based interface can also feel a tad hard to use compared to more appealing desktop apps.
  • I've experienced the occasional technical issue, though the provider's support team is quick to troubleshoot.
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Usability
The reasoning behind my 10 is that the UI is very intuitive; I didn't require any formal training to use it. Google's speech-to-text is not just a conversion tool; it helps automate mundane tasks, saves time, and has an almost human-like understanding.
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Alternatives Considered
It delivered high accuracy in accented and noisy environments. Regarding its language support, it offers a variety of languages and dialects. Its's Api's are well-documented and easily integrated with our GCP-based stack. Also, its deployment is fast, and it is cost-effective. And if we talk about its translation, it gives real-time and generic translation with great punctuation. Finally, its speaker diarization makes it a cool and yet powerful tool that helps people.
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Return on Investment
  • Automating the transcription process saved time and resources compared to manual transcription.
  • Speech-to-text enabled us to make audio content accessible to a wider audience, including individuals with disabilities.
  • We gained valuable insights into customer preferences, behaviors, and sentiment by analyzing voice data.
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ScreenShots

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.