Google Cloud Speech-to-Text vs. Trint

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
Trint
Score 8.0 out of 10
N/A
Trint uses artificial intelligence to power its web-based automated transcription platform. Audio and video files are uploaded to Trint’s online software and then transcribed using automated speech recognition. The Trint Editor is the marriage of a text editor to an audio/video player: the transcribed text is “stitched” to the audio or video file, making it simple to search, verify and edit the machine-generated transcripts. Users can instantly time the length of their soundbites. They can…
$80
per month per seat
Pricing
Google Cloud Speech-to-TextTrint
Editions & Modules
Speech-to-Text V2 API
$0.016
per min
Speech-to-Text V1 API
$0.024
per min
Starter
$80
per month per seat
Advanced
$100
per month per seat
Enterprise
Custom Pricing
Offerings
Pricing Offerings
Google Cloud Speech-to-TextTrint
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup fee$15 hour
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.Up to a 40% discount for annual pricing.
More Pricing Information
Community Pulse
Google Cloud Speech-to-TextTrint
Best Alternatives
Google Cloud Speech-to-TextTrint
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All AlternativesView all alternativesView all alternatives
User Ratings
Google Cloud Speech-to-TextTrint
Likelihood to Recommend
8.0
(0 ratings)
9.5
(0 ratings)
Usability
8.4
(0 ratings)
-
(0 ratings)
User Testimonials
Google Cloud Speech-to-TextTrint
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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It consequently translates sound from all record designs and produces a shareable and editable transcript. The interface of Trint is decent and works really hard in interpreting the content. It can also be used when taking an interview of an individual from a different language background. Here and there the record of certain dialects contains botches which are then rectified by the actual persons.
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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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  • More accurate than those of a live agent because Trint uses Artificial Intelligence.
  • Speed is high of transcribing.
  • You're ready to tap on the part you need to change, pay attention to it and fix. This is an amazing apparatus.
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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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  • Some languages transcribe need improvement
  • Web interface need to improve as well
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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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No answers on this topic
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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No answers on this topic
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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  • Save time and money
  • Quick results help us to focus on different work
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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.

Trint Screenshots

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