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Rhasspy VS NLP Cloud

Compare Rhasspy VS NLP Cloud and see what are their differences

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Rhasspy logo Rhasspy

Rhasspy transforms voice commands into JSON events that can trigger actions in home automation software.

NLP Cloud logo NLP Cloud

High performance AI models, ready for production, served through a REST API. Fine-tune and deploy your own models. Easily use generative AI in production.
  • Rhasspy Landing page
    Landing page //
    2023-02-12
  • NLP Cloud Landing page
    Landing page //
    2021-03-16

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, question answering, machine translation, language detection, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API.

You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models.

Rhasspy

Website
rhasspy.readthedocs.io
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Edit details

NLP Cloud

Website
nlpcloud.com
Pricing URL
Official NLP Cloud Pricing
$ Details
freemium
Platforms
REST API Python PHP Go JavaScript Ruby
Release Date
2021 January
Edit details

Rhasspy features and specs

  • Privacy-Focused
    Rhasspy processes voice data locally on the device, ensuring user privacy by not sending data to cloud services.
  • Customizability
    Users can customize intents and add new voice commands or modify existing ones according to their needs.
  • Open Source
    As an open-source project, Rhasspy allows users and developers to contribute to its development and modification.
  • Multilingual Support
    Rhasspy supports multiple languages, making it accessible to a wider range of users globally.

Possible disadvantages of Rhasspy

  • Complex Setup
    Initial setup can be complex for users unfamiliar with configuring software on local servers or Raspberry Pi.
  • Limited Third-Party Integration
    Compared to commercially available virtual assistants, Rhasspy has limited integration with third-party services.
  • Hardware Requirements
    Running Rhasspy locally may require specific hardware capabilities that are not available on all devices.
  • Community Support
    Being a community-driven project, support may vary and depend on the availability and engagement of community members.

NLP Cloud features and specs

  • Affordable Pricing
    NLP Cloud offers competitive pricing plans, making it accessible for businesses and individuals looking to utilize NLP capabilities without significant financial burden.
  • Variety of Models
    Provides a wide range of pre-trained language models, including GPT-J, GPT-3, and others, allowing users to select models that best fit their specific needs.
  • Customization
    Enables users to fine-tune models on their own data, which is beneficial for creating custom solutions tailored to specific industry requirements.
  • Ease of Integration
    Offers easy integration with various programming languages and platforms, making it straightforward for developers to embed NLP functionalities into existing applications.
  • Scalability
    Provides scalable infrastructure that can handle varying loads, ensuring consistent performance as user demands grow.

Possible disadvantages of NLP Cloud

  • Data Privacy Concerns
    Hosting data on third-party infrastructure can pose data privacy and security concerns for some organizations, particularly those dealing with sensitive information.
  • Limited Model Customization
    While fine-tuning is available, some highly specialized use-cases might require more extensive model customization than what NLP Cloud offers.
  • Dependency on Internet
    As a cloud-based service, it requires a stable internet connection which can be a limitation in environments with unreliable connectivity.
  • Potential Latency Issues
    Users may experience latency in processing requests due to network delays, which might impact real-time application performance.
  • Learning Curve
    While the platform is developer-friendly, new users without much experience in NLP may face an initial learning curve to effectively utilize its full capabilities.

Rhasspy videos

+ Add

Overview of Rhasspy 2.5

More videos:

  • Demo - Rhasspy Voice Assistant Demonstration
  • Review - Episode 202: Add Intents to Rhasspy Offline Voice Assistant

NLP Cloud videos

No NLP Cloud videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Rhasspy and NLP Cloud)

Rhasspy

NLP Cloud

Knowledge Sharing
100 100%
Knowledge Sharing
0% 0
Natural Language Processing
0 0%
Natural Language Processing
100% 100
Chatbots
100 100%
Chatbots
0% 0
API
0 0%
API
100% 100

User comments

Share your experience with using Rhasspy and NLP Cloud. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, NLP Cloud should be more popular than Rhasspy. It has been mentiond 41 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.

Rhasspy mentions (24)

  • The era of open voice assistants has arrived
    Yep, Mike Hansen was on the live stream launching the new device. He also notably created Rhasspy [1], which is open-source voice assistant software for Raspberry Pi (when connected to a microphone and speaker). [1] https://rhasspy.readthedocs.io/en/latest/. - Source: Hacker News / 5 months ago
  • Self Host personal Assistant ?
    Rhasspy seems promising and I started to tinker with it, but didn't get to a functional state before I got distracted by something else. Source: over 1 year ago
  • Alternatives to Google Assistant?
    Alternatively you could try using rhasspy under termux. Source: almost 2 years ago
  • Best model to convert voice commands to JSON?
    Rhasspy might have a lot of what you're looking for: Https://rhasspy.readthedocs.io/en/latest/. Source: about 2 years ago
  • Consolidation advice
    There's many voice control options for HA, both private ones like Rhasspy and the corporate spyware ones that only an idiot would use. Source: over 2 years ago
View more

NLP Cloud mentions (41)

  • ChatGPT users drop for the first time as people turn to uncensored chatbots
    NLP Cloud (their Dolphin and Fine-tuned GPT-NeoX models). Source: almost 2 years ago
  • I use chatGPT for hours everyday and can say 100% it's been nerfed over the last month or so. As an example it can't solve the same types of css problems that it could before. Imagine if you were talking to someone everyday and their iq suddenly dropped 20%, you'd notice. People are noticing.
    I am using NLP Cloud more and more and have not seen such quality drop with their service. Source: almost 2 years ago
  • Other than OpenAI models, what's available as a pay-for-use APIs?
    You have NLP Cloud which is a nice and comprehensive OpenAI competitor. Source: almost 2 years ago
  • What’s the best uncensored chat bot platform?
    You should try NLP Cloud, they don't censor their text generation models: https://nlpcloud.com/home/playground. Source: almost 2 years ago
  • OpenAI alternatives?
    You can use NLP Cloud, as far as I know they don't ban anybody and don't filter NSFW. Source: almost 2 years ago
View more

What are some alternatives?

When comparing Rhasspy and NLP Cloud, you can also consider the following products

Mycroft.AI - Mycroft is the world’s first open source assistant.

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

VoiceAttack - VoiceAttack will take commands that you speak into your microphone

Amazon Comprehend - Discover insights and relationships in text

VoiceMacro - Control applications or games by voice commands and/or by the press of a keyboard, mouse button or...

Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.

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