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- Google Cloud Speech-to-Text-vs-isLucid
Compare Google Cloud Speech-to-Text and isLucid 
Google Cloud Speech-to-Text vs isLucid
- Reviewers felt that isLucid meets the needs of their business better than Google Cloud Speech-to-Text.
- When comparing quality of ongoing product support, reviewers felt that isLucid is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of isLucid over Google Cloud Speech-to-Text.
- Standard models (all models except enhanced video and phone call): Free up to 60 minutes, Over 60 Mins up to 1 Million Mins is $0.006 / 15 seconds
- Enhanced models (video, phone call): Free up to 60 minutes, Over 60 Mins up to 1 Million Mins is $0.009 / 15 seconds
- 20 meetings/month
- Meeting minutes transcription
- Speaker identification
The upsides of using Google Cloud Speech-to-Text are the API which allows me to convert audio to text by applying Neural Network in my python application and save the text on the files.
1. Lack of documentation, or sometime the available document is incomplete or not up to date. 2. The default model does seem to pick the best model for the current audio and the user to pick a different model which performance better.
I could take a pre-made agenda template in isLucid or suggest my own custom version to have all the tasks visible. It’s great because all items of the meeting that need to be done are on the agenda. Whenever I talk through something, I can just tick it off.
The upsides of using Google Cloud Speech-to-Text are the API which allows me to convert audio to text by applying Neural Network in my python application and save the text on the files.
I could take a pre-made agenda template in isLucid or suggest my own custom version to have all the tasks visible. It’s great because all items of the meeting that need to be done are on the agenda. Whenever I talk through something, I can just tick it off.
1. Lack of documentation, or sometime the available document is incomplete or not up to date. 2. The default model does seem to pick the best model for the current audio and the user to pick a different model which performance better.
