Play.ht VS TensorFlow

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

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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.

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/

Landing page //
2023-06-19

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

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TensorFlow

Website: tensorflow.org
Pricing URL: -
$ Details
Platforms: -
Release Date: -

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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

TensorFlow features and specs

Comprehensive Ecosystem
TensorFlow offers a complete ecosystem for end-to-end machine learning, covering everything from data preprocessing, model building, training, and deployment to production.
Community and Support
TensorFlow boasts a large and active community, as well as extensive documentation and tutorials, making it easier for beginners to learn and experts to get help.
Flexibility
TensorFlow supports a wide range of platforms such as CPUs, GPUs, TPUs, mobile devices, and embedded systems, providing flexibility depending on the user's needs.
Integrations
TensorFlow integrates well with other Google products and services, including Google Cloud, facilitating seamless deployment and scaling.
Versatility
TensorFlow can be used for a wide range of applications from simple neural networks to more complex projects, including deep learning and artificial intelligence research.

Possible disadvantages of TensorFlow

Complexity
TensorFlow can be challenging to learn due to its complexity and the steep learning curve, particularly for beginners.
Performance Overhead
Although TensorFlow is powerful, it can sometimes exhibit performance overhead compared to other, lighter frameworks, leading to longer training times.
Verbose Syntax
The code in TensorFlow tends to be more verbose and less intuitive, which can make writing and debugging code more cumbersome relative to other frameworks like PyTorch.
Compatibility Issues
Frequent updates and changes can lead to compatibility issues, requiring significant effort to keep libraries and dependencies up to date.
Mobile Deployment
While TensorFlow supports mobile deployment, it is less optimized for mobile platforms compared to some other specialized frameworks, leading to potential performance drawbacks.

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.

Play.ht videos

+ Add

Basic Features | Play.ht

TensorFlow videos

+ Add

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

Category Popularity

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

Play.ht

TensorFlow

73 73%

27% 27

Data Science And Machine Learning

0 0%

Data Science And Machine Learning

100% 100

Text To Speech

100 100%

Text To Speech

0% 0

AI Voice

100 100%

AI Voice

0% 0

User comments

Share your experience with using Play.ht and TensorFlow. For example, how are they different and which one is better?

Reviews

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

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

TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024

From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.

Source: www.labellerr.com

10 Python Libraries for Computer Vision

TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.

Source: clouddevs.com

25 Python Frameworks to Master

Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.

Source: kinsta.com

Top 8 Alternatives to OpenCV for Computer Vision and Image Processing

TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...

Source: www.uubyte.com

PyTorch vs TensorFlow in 2022

There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...

Source: www.assemblyai.com

Social recommendations and mentions

Based on our record, Play.ht should be more popular than TensorFlow. It has been mentiond 67 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 1 month ago
Getting Started with ElevenLabs API
PlayHT: Over 900 voices across 142+ languages with voice cloning features. - Source: dev.to / about 1 month 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 / 8 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

TensorFlow mentions (7)

Creating Image Frames from Videos for Deep Learning Models
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 2 years ago
Need help with a Tensorflow function
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 3 years ago
Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 3 years ago
[Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 years ago
[Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 3 years ago