Software Alternatives & Reviews

Blogcast VS TensorFlow

Compare Blogcast VS TensorFlow and see what are their differences

Blogcast logo Blogcast

Turn your articles into audio

TensorFlow logo 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.
  • Blogcast Landing page
    Landing page //
    2021-08-01

Generate clear, natural sounding speech from your blog posts and content for podcasts, videos, and more using text-to-speech technology. No microphone required!

  • TensorFlow Landing page
    Landing page //
    2023-06-19

Blogcast

$ Details
paid Free Trial $8.0 / Monthly (10 articles )
Release Date
2019 March

Blogcast features and specs

  • Text to speech : Convert your articles into clear, natural-sounding audio using AI-powered text-to-speech technology
  • Languages: Choose from over 110 neural voices and 25+ languages and dialects.
  • Editor: Powerful speech synthesis editor enables full control of voices, pronunciation, tone, and pauses within your article. Use multiple voices in a single article.
  • Podcast Feed: Create and host podcast feeds from your audio files. Submit to iTunes, Spotify, Google Podcasts and more!
  • Hosting: Store and stream audio files on our servers. Or download the MP3 and import into another podcasting platform.
  • Media Gallery: Embed audio into your blog or website using the customizable Blogcast media player.
  • WordPress integration: Instantly add audio to your WordPress posts using the plugin

TensorFlow features and specs

No features have been listed yet.

Blogcast videos

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

+ Add video

TensorFlow videos

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

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Category Popularity

0-100% (relative to Blogcast and TensorFlow)
Text To Speech
100 100%
0% 0
Data Science And Machine Learning
AI
41 41%
59% 59
Podcast
100 100%
0% 0

User comments

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Reviews

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

Blogcast Reviews

How To Convert Articles Into Audio Podcast 2022: (Top Pick)
When you think about articles that can be used for audio-generation, you think of Blog Cast because this is the simplest solution that can be used for this purpose. All you need to do is add a link to your article and make an addition of embed to the blog you choose.
How to Convert Article into Audio Podcast?
Blogcast is the simplest solution when it comes to audio generation for articles. Just add a link to your articles, add the embed to your blog, and you’re up and running!
Source: geekflare.com
How to Convert Articles to Audio Using TTS
Blogcast is another simple TTS solution for converting articles to audio. It allows you to embed a media player on your blog or download mp3s of your converted text content, so you can distribute your voice content through the major podcasting platforms. Voice and language options aren’t quite as robust as some other TTS providers, but Blogcast offers a simple, no-frills...

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.
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...

Social recommendations and mentions

Based on our record, TensorFlow seems to be more popular. It has been mentiond 7 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.

Blogcast mentions (0)

We have not tracked any mentions of Blogcast yet. Tracking of Blogcast recommendations started around Mar 2021.

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 / about 1 year 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 2 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: almost 2 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 2 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 2 years ago
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What are some alternatives?

When comparing Blogcast and TensorFlow, you can also consider the following products

Play.ht - AI Voice and Speech Generation tool

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

BeyondWords - BeyondWords is an AI voice and audio CMS platform that brings frictionless audio publishing to writers, newsrooms, and businesses. Free Pilot plan available!

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

Pocket Listen - Reading is hard. Listen to articles instead.

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