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Play.ht VS NumPy

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

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Play.ht logo Play.ht

AI Voice and Speech Generation tool

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • 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/

  • NumPy Landing page
    Landing page //
    2023-05-13

Play.ht

Website
play.ht
Pricing URL
Official Play.ht Pricing
$ Details
freemium $14.0 / Monthly (240,000 Words)
Platforms
Web
Release Date
2017 August
Edit details

NumPy

Website
numpy.org
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

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

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

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 NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Play.ht videos

+ Add

Basic Features | Play.ht

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to Play.ht and NumPy)

Play.ht

NumPy

AI
100 100%
AI
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Text To Speech
100 100%
Text To Speech
0% 0
Data Science Tools
0 0%
Data Science Tools
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 NumPy

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...
Source: www.animotica.com
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...
Source: www.bloggersideas.com

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy should be more popular than Play.ht. It has been mentiond 119 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

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 5 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 9 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 9 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 10 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 10 months ago
View more

What are some alternatives?

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

Murf AI - Lifelike voiceovers in minutes.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

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

Blogcast - Turn your articles into audio

OpenCV - OpenCV is the world's biggest computer vision library

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