Software Alternatives, Accelerators & Startups

InVideo.io VS PyTorch

Compare InVideo.io VS PyTorch and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

InVideo.io logo InVideo.io

Create thumb-stopping videos in mins for just $10/month even if you've never edited a video before!

PyTorch logo PyTorch

Open source deep learning platform that provides a seamless path from research prototyping to...
  • InVideo.io Landing page
    Landing page //
    2023-10-19

InVideo is the world's most loved video creation platform trusted by more than 400,000 users across more than 160 countries. It'll enable you to create thumb-stopping videos in mins even if you've never edited a video before for as low as $10/month.

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

InVideo.io

Website
invideo.io
$ Details
paid Free Trial $20.0 / Monthly (60 unique video exports a month, unlimited users, all access)
Platforms
Browser
Release Date
2017 January

PyTorch

Pricing URL
-
$ Details
Platforms
-
Release Date
-

InVideo.io features and specs

  • Templates
    4000+
  • Media library
    1M+ royalty-free images and video clips
  • 24/7 Support
  • Voiceover
  • Auto Text-to-speech
  • Video editor
  • Video and audio timelines

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 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.

InVideo.io videos

InVideo: Create thumb-stopping videos in mins!

More videos:

  • Tutorial - InVideo: Create thumb-stopping videos in mins!

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 InVideo.io and PyTorch)
Video
100 100%
0% 0
Data Science And Machine Learning
AI
82 82%
18% 18
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 InVideo.io and PyTorch

InVideo.io Reviews

  1. I love InVideo!

    I love Invideo! It's the best video generator I've ever used. The ai is amazing and the videos are so realistic. The price is great, too! I definitely recommend this product to anyone looking for an easy way to create videos.


Top Free Faceless Video Generator Tools Without Watermark (2025)
Why it stands out:InVideo AI helps you build full-length faceless videos for YouTube or presentations. It offers rich customization, which is rare in free tools.
Source: videobytes.ai
7 Best Sora Alternatives for AI Video Generation in 2025
The landscape of AI video generators in 2025 is rich with options. While Sora remains a trailblazer in text-driven video quality, each of these seven alternatives offers unique strengths. Some focus on ease of use and ready-made content (like InVideo and Pictory), others push the envelope of generative visuals (Runway and Dream Machine), and some cater to specialized needs...
Source: dreamona.ai
Top 10 Best Animoto Alternatives For Stunning Video Creation
Invideo is a great online vide­o maker with many templates and e­ffects. Its user-friendly tools make­ it easy to customize videos how you want. If you’re­ creating social media content or making films, Invide­o works for your needs. Advanced e­diting meets simple use­ – Invideo has it all for pros and beginners.
Source: sharetool.net
Top 6 Alternatives to Animoto to Create Videos Online
InVideo is another alternative to Animoto to make videos online. This service gives users numerous video templates that are well-organized by categories like intros, video ads, slideshows, video collages, and more. You can filter these templates by aspect ratio.
Top 10 AI Video Generators to Use in 2023
InVideo is a powerful AI video creator that excels at generating marketing and explainer videos for businesses at the input of text. This AI video tool is not inferior to Synthesia at all. With this tool, you just need to state the project you are working on alongside a few details, and in minutes, you have a video.

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 seems to be a lot more popular than InVideo.io. While we know about 133 links to PyTorch, we've tracked only 4 mentions of InVideo.io. 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.

InVideo.io mentions (4)

  • Help on making demo videos
    You can try invideo.io - we have used and found it super nice. Source: over 1 year ago
  • Show HN: I Made a Final Cut for Windows
    Thanks for sharing! To give you a bit of background -- I'm not trying to compete with Resolve. I'm not targeting experts, but instead targeting beginners and intermediate people when it comes to video editing. And I do offer quite a few features, and my main focus has been on speed from the get go (for instance, Instant Preview everywhere, which as far as I know is only present in Final Cut and nowhere else).... - Source: Hacker News / over 3 years ago
  • Should I get more ram?
    If you are to make videos with DaVinci, I would say it is enough with 8GB Ram, but I agree... If you can afford it, buy the 16GB Ram. But let me tell you about something VERY NICE. invideo.io. AI-technology gives you superpowers, and is SO EASY to operate ONLINE! Check this out! That could keep you at the 8GB version forever. You pick. Good luck! Source: about 4 years ago
  • resources for music video creation?
    I've also used https://invideo.io/ to add text & graphics to the finished video (i.e., Swipe Up, Spotify logo, etc). It's good for creating videos for IG stories. Source: over 4 years ago

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 InVideo.io and PyTorch, you can also consider the following products

Adobe Premiere Pro - Edit video faster than ever before with the powerful, more connected Adobe Premiere® Pro CC.

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.

revid.ai - Create short videos, fast. The all-in-one TikTok growth tool.

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

Filmora - Filmora is a trusted, legacy video editing platform that's strong in the fundamentals but lacks some of the bells and whistles that come with some other video editing software.

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