Software Alternatives, Accelerators & Startups

Play.ht VS PyTorch

Compare Play.ht VS PyTorch and see what are their differences

Play.ht logo Play.ht

AI Voice and Speech Generation tool

PyTorch logo PyTorch

Open source deep learning platform that provides a seamless path from research prototyping to...
  • Play.ht Landing page
    Landing page //
    2023-05-11

Play.ht offers some of the best AI voices to help you create realistic AI voiceovers for your videos, presentations, education and other projects. Play.ht's state-of-the-art Text to Speech editor allows you to create the voiceover according to your needs. You can use multiple AI voices to create conversation-like audio and use full SSML features to enhance your audio.

Play.ht also allows you to embed and distribute your audio files. You can embed the audio using our audio player widgets to increase accessibility on your articles or web-pages. You can use our Podcasting solution to distribute your audio files as podcasts to iTunes and Spotify.

Try Play.ht for free - https://play.ht/

  • PyTorch Landing page
    Landing page //
    2023-07-15

Play.ht

Website
play.ht
$ Details
freemium $14.0 / Monthly (240,000 Words)
Platforms
Web
Release Date
2017 August

PyTorch

Pricing URL
-
$ Details
Platforms
-
Release Date
-

Play.ht features and specs

  • AI Voices
    570+ AI Voices and 57 Languages
  • Rights
    Full Commercial & Broadcasting Rights
  • Speech Styles
    Expressive Emotional Speech Styles
  • Pronunciations
    Create Custom Pronunciations
  • Voice features
    Multi-voice Feature
  • Revisions & Downloads
    Unlimited Previews, Revisions & Downloads
  • Custom Pauses
    Custom Pauses

PyTorch features and specs

  • Dynamic Computation Graph
    PyTorch uses a dynamic computation graph, which allows for interactive and flexible model building. This is particularly beneficial for researchers who need to modify the network architecture on-the-fly.
  • Pythonic Nature
    PyTorch is designed to be deeply integrated with Python, making it very intuitive for Python developers. The framework feels more 'native' to Python, which improves the ease of learning and use.
  • Strong Community Support
    PyTorch has a large, active, and growing community. This means abundant resources such as tutorials, forums, and third-party tools are available to help developers solve problems and share solutions.
  • Flexibility and Control
    PyTorch offers granular control over computations and provides extensive debugging capabilities. This level of control is beneficial for tasks that require precise tuning and custom implementations.
  • Support for GPU Acceleration
    PyTorch offers seamless integration with GPU hardware, which significantly accelerates the computation process. This makes it highly efficient for deep learning tasks.
  • Rich Ecosystem
    PyTorch has a rich ecosystem including libraries like torchvision, torchaudio, and torchtext, which are specialized for different data types and can significantly shorten development times.

Possible disadvantages of PyTorch

  • Limited Production Deployment Tools
    PyTorch is primarily designed for research rather than production. While deployment tools like TorchServe exist, they are not as mature or integrated as solutions offered by other frameworks like TensorFlow.
  • Lesser Adoption in Industry
    While PyTorch is popular among researchers, it has historically seen less adoption in industry compared to TensorFlow, which means there might be fewer resources for large-scale production deployments.
  • Inconsistent API Changes
    As PyTorch continues to evolve rapidly, occasionally there are breaking changes or inconsistent API updates. This can create maintenance challenges for existing codebases.
  • Steeper Learning Curve for Beginners
    Despite its Pythonic design, PyTorch's focus on flexibility and control can make it slightly harder for beginners to get started compared to some other high-level libraries and frameworks.
  • Less Mature Documentation
    Although the documentation is improving, it has been historically less comprehensive and mature compared to other frameworks like TensorFlow, which can make it difficult to find detailed, clear information.

Analysis of Play.ht

Overall verdict

  • Play.ht is a strong choice for those seeking a reliable and versatile text-to-speech solution. However, its suitability can depend on specific needs such as the diversity of available languages, voice quality preferences, and budget.

Why this product is good

  • Play.ht is a text-to-speech service known for its high-quality synthetic voices that can be used for podcasts, voiceovers, and other audio content. It offers a variety of natural-sounding voices, multilingual support, and customization features. Users appreciate its user-friendly interface, the ability to fine-tune speech synthesis, and the option to download audio files in different formats.

Recommended for

  • Content creators who need AI-generated voiceovers for podcasts or videos.
  • Businesses looking to add voice features to their applications or services.
  • Individuals who require assistive technology for reading text content aloud.
  • Developers seeking TTS API integration options.

Analysis of PyTorch

Overall verdict

  • Yes, PyTorch is considered a good deep learning framework.

Why this product is good

  • Ease of Use: PyTorch has an intuitive interface that makes it easier to learn and use, especially for beginners.
  • Dynamic Computation Graphs: PyTorch employs dynamic computation graphs, which provide more flexibility in building and modifying models on the fly.
  • Strong Community and Support: PyTorch has a large and active community, offering extensive resources, forums, and tutorials.
  • Research Adoption: PyTorch is widely adopted in the research community, making state-of-the-art models and techniques readily available.
  • Integration: PyTorch integrates well with other libraries and tools in the Python ecosystem, providing robust support for various applications.

Recommended for

  • Researchers and Academics: Ideal for those who need a flexible and dynamic tool for experimenting with new models and techniques.
  • Industry Practitioners: Suitable for developers and data scientists working on production-level machine learning solutions.
  • Educators and Learners: Great for educational purposes due to its easy-to-understand syntax and comprehensive documentation.

Play.ht videos

Basic Features | Play.ht

PyTorch videos

PyTorch in 5 Minutes

More videos:

  • Review - Jeremy Howard: Deep Learning Frameworks - TensorFlow, PyTorch, fast.ai | AI Podcast Clips
  • Review - PyTorch at Tesla - Andrej Karpathy, Tesla

Category Popularity

0-100% (relative to Play.ht and PyTorch)
AI
86 86%
14% 14
Data Science And Machine Learning
Text To Speech
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Play.ht and PyTorch

Play.ht Reviews

11 Best AI Voice Generators to Explore in 2024
Play.ht is a top-notch AI voice generator loved by big brands such as Verizon and Comcast. This makes it perfect for businesses who want the best quality. With over 900 voices in 142 different languages and accents, it offers great variety. This text-to-speech tool has a special feature called Play Agents for creating AI voice agents. It has a pronunciation library for...
13 Best AI Voice Generators (March 2023) for Natural Text-to-Speech
Play.ht is a voice generation service that is being professionally used for voicing their customer support systems by 7000+ teams and some very large enterprises. If you need AI voice generation at a scale, Play.ht is your best bet.
Source: nerdynav.com
The Best AI Voice Generator for 2023
Play.ht is a text-to-speech tool that uses AI to generate natural-sounding voices in over 140 languages and accents. It offers a variety of features for enhancing and customizing audio, including speech styles, voice inflections, and custom pronunciations. Users can preview their text before converting it to speech, and the resulting audio files can be securely stored and...
Source: webninja.ai
10 Best AI Voice Generators
A powerful AI text-to-speech generator, Play.ht relies on AI to generate audio and voices from IBM, Microsoft, Amazon, and Google. The tool is especially useful for converting text into natural voices, and it allows you to download the voice-over as MP3 and WAV files.
Source: www.unite.ai
How To Convert Articles Into Audio Podcast 2022: (Top Pick)
Bottomline : When we watch a video on YouTube, we always look for something of good quality, whether it is a video or simple audio matters less since the sound is what we usually look for. Now, in the same way, we prefer listening to something rather than reading it, especially because it can get quite frustrating to scroll and space out randomly. This all is eliminated when...

PyTorch Reviews

10 Python Libraries for Computer Vision
Similar to TensorFlow and Keras, PyTorch and torchvision offer powerful tools for computer vision tasks. PyTorch’s dynamic computation graph and torchvision’s datasets and pre-trained models make it easy to implement tasks such as image classification, object detection, and style transfer.
Source: clouddevs.com
25 Python Frameworks to Master
Along with TensorFlow, PyTorch (developed by Facebook’s AI research group) is one of the most used tools for building deep learning models. It can be used for a variety of tasks such as computer vision, natural language processing, and generative models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
PyTorch is another open-source machine learning framework that is widely used in academia and industry. PyTorch provides excellent support for building deep learning models, and it has several pre-trained models for computer vision tasks, making it the ideal tool for several computer vision applications. PyTorch offers a user-friendly interface that makes it easier for...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
When we compare HuggingFace model availability for PyTorch vs TensorFlow, the results are staggering. Below we see a chart of the total number of models available on HuggingFace that are either PyTorch or TensorFlow exclusive, or available for both frameworks. As we can see, the number of models available for use exclusively in PyTorch absolutely blows the competition out of...
15 data science tools to consider using in 2021
First released publicly in 2017, PyTorch uses arraylike tensors to encode model inputs, outputs and parameters. Its tensors are similar to the multidimensional arrays supported by NumPy, another Python library for scientific computing, but PyTorch adds built-in support for running models on GPUs. NumPy arrays can be converted into tensors for processing in PyTorch, and vice...

Social recommendations and mentions

Based on our record, PyTorch should be more popular than Play.ht. It has been mentiond 133 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.

Play.ht mentions (67)

  • The ultimate open source stack for building AI agents
    Next, for text-to-speech (TTS), tools like Play.ht give you lifelike voices with custom accents and tone controls, while OpenVoice lets you clone voices like you’re building your own mini Morgan Freeman. - Source: dev.to / about 2 months ago
  • Getting Started with ElevenLabs API
    PlayHT: Over 900 voices across 142+ languages with voice cloning features. - Source: dev.to / about 2 months ago
  • Show HN: My Voice AI clone interviews you, then writes your LI / X posts
    ### Why did I build this? 1. LinkedIn and X are b2b lead goldmines. But generating content is hard. You have to figure out what to say. If you're like me, you have trouble coming up with social post ideas when staring at a blank screen. But interesting ideas arrive when I step away from my laptop and talk to people. Also, it's hard to compose the content in a way that appeases the platform algorithms. 2. I want to... - Source: Hacker News / 9 months ago
  • [D] What offline TTS Model is good enough for a realistic real-time task?
    There aren't really any models that produce realistic real-time voice. I'd recommend ElevenLabs or play.ht, sadly these seem to be the only useable options for now. Source: over 1 year ago
  • Where can I find an online resource of voice cloning?
    I've used play.ht before. Very easy to use. Source: almost 2 years ago
View more

PyTorch mentions (133)

  • Grasping Computer Vision Fundamentals Using Python
    To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / about 1 month ago
  • Top Programming Languages for AI Development in 2025
    With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond. - Source: dev.to / about 2 months ago
  • Fine-tuning LLMs locally: A step-by-step guide
    Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:. - Source: dev.to / 2 months ago
  • 10 Must-Have AI Tools to Supercharge Your Software Development
    8. TensorFlow and PyTorch: These frameworks support AI and machine learning integrations, allowing developers to build and deploy intelligent models and workflows. TensorFlow is widely used for deep learning applications, offering pre-trained models and extensive documentation. PyTorch provides flexibility and ease of use, making it ideal for research and experimentation. Both frameworks support neural network... - Source: dev.to / 4 months ago
  • Automating Enhanced Due Diligence in Regulated Applications
    Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition. - Source: dev.to / 4 months ago
View more

What are some alternatives?

When comparing Play.ht and PyTorch, you can also consider the following products

Murf AI - Lifelike voiceovers in minutes.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

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

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Blogcast - Turn your articles into audio

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.