CallRail vs. Google Cloud Speech-to-Text

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
CallRail
Score 9.4 out of 10
N/A
CallRail offers phone call tracking, recording and analytics.
$50
per month
Google Cloud Speech-to-Text
Score 6.6 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
Pricing
CallRailGoogle Cloud Speech-to-Text
Editions & Modules
Call Tracking
$50
per month
Call Tracking + Conversation Intelligence®
$100
per month
Call Tracking + Form Tracking
$100
per month
Call Tracking Complete
$150
per month
Speech-to-Text V2 API
$0.016
per min
Speech-to-Text V1 API
$0.024
per min
Offerings
Pricing Offerings
CallRailGoogle Cloud Speech-to-Text
Free Trial
YesYes
Free/Freemium Version
NoYes
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
Community Pulse
CallRailGoogle Cloud Speech-to-Text
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CallRailGoogle Cloud Speech-to-Text
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User Ratings
CallRailGoogle Cloud Speech-to-Text
Likelihood to Recommend
10.0
(35 ratings)
5.9
(44 ratings)
Usability
8.5
(7 ratings)
7.2
(25 ratings)
Support Rating
8.5
(7 ratings)
-
(0 ratings)
User Testimonials
CallRailGoogle Cloud Speech-to-Text
Likelihood to Recommend
CallRail
This is great software for differentiating where phone traffic is coming from. Whether it's paid/organic search, you can see exactly where the calls are coming in from. I'd love to see them add text/SMS features in the future, but it does what it claims. I'd also like to see more CRM integrations, but not sure that other users share the same sentiment
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Google
Real-time meeting notes for the smaller group audience. Strong language coverage of over 125+ languages. Handles mobile phone recordings and environmental noise effectively. Fast transcription turnaround also supports phrases, which improves industry-specific terminology. Generating QA/compliance audit logs. Also builds the sentences with accurate punctuation and sentence boundaries. It has vast global support centers whose primary focus in resolving customer issues and help multinational engineering in building great products
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Pros
CallRail
  • Tracking phone calls first & foremost! Being able to have a running tally of the phone calls made and listening to the recorded calls throughout the month and providing that information back to our clients is vital!
  • Their UI is exceptionally easy to use & navigate. This is important when we have many clients running at the same time and we are able to always determine what report is for which client.
  • The ease of setting up a brand new client & their tracking phone number is fantastic! Saves a lot of time when it walks you through everything you need to know & do step by step.
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Google
  • So, first of all it gives the answer or translates in real time which is awesome.
  • It has speaker diarization, which detects who spoke each segment. This is a great feature because it can track the number of people as well.
  • It has an automatic punctuation system that detects each punctuation mark, such as a dot and a comma, and places it in the text.
  • Lastly, it offers a variety of language translations, providing a global platform for interaction with people from different countries.
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Cons
CallRail
  • The integration with Hubspot is not as seemless as I would have liked. We had an issue where a person who was already in Hubspot called in, and their contact information was not matched to the caller ID correctly which created some duplicate entries. A little bit of a bummer, but from what I understand they may have fixed this. We had to stop using them for a little while because our outsourced sales team was more confused by adding CallRail, so we'll be re-implementing this once our new sales team is fully trained. Hopefully the record miss-match issue gets fixed.
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Google
  • Integration outside of the google eco system is challenging here.
  • Google Cloud Speech-to-Text works only with active internet connection if the internet bandwidth is low it effect the transcription process and can lead to data inaccuracy.
  • In terms of the pricing also this is at higher range which all the companies cannot afford like small scale organisation if they would like to use the tool they would look over the price to make the decision. Reducing the price can increase the product usage more
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Usability
CallRail
The platform is easy to use and we really don't have any complaints with using it so far. The information is invaluable for clients that rely on phone calls to drive more business. Not much negative to say about it at this point. We're actually really happy with it so far and the cost is manageable.
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Google
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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Support Rating
CallRail
CallRail support normally gets back to us pretty quickly when we submit a ticket and they have a good knowledge base for common questions. I've heard mixed reviews from other local marketing agencies that use this tool, but overall in my experience, support has been knowledgeable and quick working through our problems.
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Google
No answers on this topic
Alternatives Considered
CallRail
Callrail has a very seamless and easy to use Dynamic Number Swap function. In other call tracking that we looked into the integration was either not as easy to use or required much more work to implement. Setting up CallRail has been so easy even our entry-level employees need very little training to master the platform.
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Google
Google Cloud Speech-to-Text outperformed its competitors significantly in terms of accuracy, surpassing any other product available. Additionally, its support for multiple languages was unrivaled in the market. Moreover, for clients with robust bandwidth, Google Cloud Speech-to-Text offered real-time transcription capabilities, enabling users to transcribe live audio streams with minimal delay.
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Return on Investment
CallRail
  • It is useful to monitor our calls weekly. We can give our employees feedback on the quality of the calls which helps our overall sales and conversions.
  • By knowing which campaigns perform best, we can shift our budget to target those campaigns specifically which saves us revenue and increases sales.
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Google
  • It reduced our budget for assistants who transcribed files manually
  • It speeds up the process, because we can have a transcriptions straight after the interviews
  • It increased accuracy, because AI makes the transcriptions for every second, and you can find the words which were said at specific time.
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ScreenShots

CallRail Screenshots

Screenshot of Activity DashboardScreenshot of Integrations PageScreenshot of Call LogScreenshot of Lead CenterScreenshot of Call Attribution ReportScreenshot of Activity Dashboard

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.