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Google Cloud Text-to-Speech VS monkeylearn

Compare Google Cloud Text-to-Speech VS monkeylearn and see what are their differences

Content Guardian AI
The only 8-in-1 AI content detector platform in the world. We integrate with leading AI content detectors to give unparalleled confidence that your content appear to be written by a human. featured
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Google Cloud Text-to-Speech logo Google Cloud Text-to-Speech

Text to speech conversion powered by machine learning

monkeylearn logo monkeylearn

Text Mining Made Easy. Extract and classify information from text. Integrate with your App within minutes.
  • Google Cloud Text-to-Speech Landing page
    Landing page //
    2022-11-02
  • monkeylearn Landing page
    Landing page //
    2022-04-02

Google Cloud Text-to-Speech videos

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How to convert text to speech using Google Cloud Text-to-Speech API and Ruby on Rails

monkeylearn videos

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Analyzing Customer Reviews with MonkeyLearn and RapidMiner

More videos:

  • Review - Webinar - Introduction to MonkeyLearn
  • Review - Making a Custom Text Classifier with MonkeyLearn

Category Popularity

0-100% (relative to Google Cloud Text-to-Speech and monkeylearn)

Google Cloud Text-to-Speech

monkeylearn

AI
100 100%
AI
0% 0
NLP And Text Analytics
0 0%
NLP And Text Analytics
100% 100
Text To Speech
100 100%
Text To Speech
0% 0
Natural Language Processing
0 0%
Natural Language Processing
100% 100

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Text-to-Speech should be more popular than monkeylearn. It has been mentiond 59 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Cloud Text-to-Speech mentions (59)

  • Hindi Conversational Text-to-Speech
    My friend was a contractor for Hindi TTS at Google https://cloud.google.com/text-to-speech. - Source: Hacker News / about 1 month ago
  • Mini Kore Anki Deck with Audio
    I created an Anki Deck with all of the words from Mini Kore and 300+ Mini Kore sentences from the various documents on minilanguage.com. The deck includes audio for all words and sentences. Audio was generated using the Google Text-to-Speech API. The deck can be found here:. Source: 11 months ago
  • 📽️ Introducing Swiftube - Make simple talking-head videos in React ⚛️
    Under the hood, it is powered by: - Remotion - Google TTS - OpenAI. Source: 11 months ago
  • Text to speech still sucks
    Text-to-Speech: Lifelike Speech Synthesis  |  Google Cloud. Source: 12 months ago
  • Get Started Making Music
    Thanks! The synth is Dreamtonics' Synthesizer V, using the SOLARIA voice database from Eclipsed Sounds. What really sold it to me was listening to some beautifully crafted covers from this YouTube channel: https://www.youtube.com/watch?v=KX0lcVr9ugI), which was quite interesting and somewhat pleasant sounding for spoken word vocals, but didn't really have the range or expressiveness I was looking for. - Source: Hacker News / 12 months ago
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monkeylearn mentions (11)

  • Best AI SEO Tools for NLP Content Optimization
    MonkeyLearn: A platform for text analysis and machine learning, allowing users to train custom models for tasks like sentiment analysis and topic classification. Source: 5 months ago
  • free-for.dev
    Monkeylearn.com — Text analysis with machine learning, free 300 queries/month. - Source: dev.to / over 1 year ago
  • [D] What are the best SaaS APIs for non-English NLP tasks?
    MonkeyLearn supports 11 languages for data analysis (Spanish, Portuguese, German, Russian, Italian, French, Dutch, Chinese, Japanese, Korean and Arabic).  But for sentiment analysis, only Spanish seems to be available, I’m not sure about that. Source: over 1 year ago
  • Word Cloud From This Sub [OC]
    R3: Used RedditExtractoR in R to download all-time top posts, and ran the resulting .csv through https://monkeylearn.com/. Downloaded the resulting table and deleted top result "OC" - then visualized it with ggplot to give a sense of absolute numbers. Total posts considered in this are 988, the word cloud only looks at the 98 most mentioned words/phrases. Let me know if you have got any questions/concerns! Source: almost 2 years ago
  • Can I use Google Search Console to look at queries and improve my blog posts?
    Go to monkeylearn.com and sign up for a free demo. Then cut and paste your blog text into the extractor/classifier. Source: almost 2 years ago
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What are some alternatives?

When comparing Google Cloud Text-to-Speech and monkeylearn, you can also consider the following products

Amazon Polly - Named for a parrot, Amazon Polly is a text-to-speech (TTS) software that makes your text come to life in a natural, authentic way. The software has many lifelike voices, both male and female, and in a variety of languages.

Amazon Comprehend - Discover insights and relationships in text

NaturalReader - Main Feature: Full Common Functions: Read Text Files o Text files o MS Word files

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

Play.ht - AI Voice and Speech Generation tool

Google Cloud Natural Language API - Natural language API using Google machine learning

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