Software Alternatives, Accelerators & Startups

Spleeter VS pxCode

Compare Spleeter VS pxCode and see what are their differences

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Spleeter logo Spleeter

Isolate vocals from any song using AI by Deezer

pxCode logo pxCode

From design to code, your fastest choice for a responsive webpage
  • Spleeter Landing page
    Landing page //
    2023-10-21
  • pxCode Landing page
    Landing page //
    2023-06-07

Spleeter features and specs

  • High Performance
    Spleeter utilizes deep learning technologies to achieve high-quality separation of vocals and other musical elements, making it a powerful tool for audio processing tasks.
  • Open Source
    Being an open-source project, Spleeter is freely accessible and can be modified and improved by the community, fostering innovation and collaboration.
  • Ease of Use
    With pre-trained models and straightforward API, Spleeter is user-friendly, allowing users to quickly start separating audio without needing extensive background in machine learning.
  • Speed
    Spleeter is optimized for fast processing, enabling quick separation of tracks even on standard hardware, which is beneficial for users needing rapid results.
  • Community and Documentation
    The project has an active community and comprehensive documentation, offering support and resources to help users resolve issues and maximise the toolโ€™s potential.

Possible disadvantages of Spleeter

  • Resource Intensive
    Deep learning models require significant computational power, which means Spleeter can be demanding on system resources, especially for higher quality separations.
  • Quality Limitations
    Although it performs well, Spleeter might not always achieve perfect separation, and certain complex mixes may still present challenges, resulting in artifacts or quality loss.
  • File Size
    The pre-trained models and resulting files can be large, potentially requiring substantial storage space, which could be an issue for users with limited disk space.
  • Dependency Management
    Setting up Spleeter and ensuring all dependencies are correctly installed can be cumbersome, particularly for less technically-oriented users unfamiliar with Python environments.
  • Use Case Limitations
    Spleeter is specifically designed for source separation, meaning its utility is somewhat limited to this function and may not be suitable for users looking for a broader range of audio processing features.

pxCode features and specs

  • User-friendly Interface
    pxCode offers a drag-and-drop interface that allows designers and developers to collaborate efficiently without requiring deep programming knowledge. This makes it accessible for both technical and non-technical team members.
  • Responsive Design
    The platform provides tools to create responsive and adaptable designs, ensuring compatibility across various devices and screen sizes, which enhances user experience.
  • Code Export
    pxCode allows users to export clean, production-ready code in different frameworks, facilitating easier integration into existing projects.
  • Collaboration Features
    It has features that enable real-time collaboration, making it easy for teams to work together on design and development tasks simultaneously.
  • Design and Development Integration
    pxCode bridges the gap between design and development by allowing seamless transitions from design to code, reducing the time and effort needed in web development.

Possible disadvantages of pxCode

  • Learning Curve
    While pxCode is designed to be user-friendly, new users might experience a learning curve, especially if they are unfamiliar with design-to-code tools.
  • Limited Customization
    Certain customization options may be limited compared to traditional hand-coding, which might restrict the ability of developers to implement highly complex or bespoke solutions.
  • Pricing
    pxCode may have pricing tiers that could be expensive for small businesses or freelancers, limiting access to its full range of features.
  • Internet Dependency
    The platform requires a stable internet connection to utilize its web-based features, which could be a drawback for teams with limited internet access.
  • Integration Limitations
    While pxCode offers code export functionality, integrating these exports into some existing complex environments might require additional configuration or adjustments.

Analysis of Spleeter

Overall verdict

  • Spleeter is generally considered a good tool for those needing to separate audio tracks into stems. Its ease of use, effectiveness, and free availability make it popular among musicians, producers, and audio engineers.

Why this product is good

  • Spleeter is an open-source music separation tool developed by Deezer that allows users to separate audio tracks into individual components like vocals and instruments. It is praised for its high separation quality and speed, leveraging deep learning techniques. The tool is user-friendly and can be easily accessed via a command-line interface or integrated into various audio processing workflows.

Recommended for

    Musicians, audio engineers, producers, and sound designers who require efficient audio separation for remixes, practice, or analysis purposes.

Analysis of pxCode

Overall verdict

  • pxCode is a solid design-to-code tool that helps developers and designers convert Figma or image designs into responsive, production-ready front-end code, making it a good choice for teams looking to speed up UI development.

Why this product is good

  • Converts Figma designs and images into clean HTML, CSS, and framework-ready code
  • Supports popular frameworks like React, Vue, and responsive layouts with Flexbox/Grid
  • Reduces manual coding time and bridges the gap between designers and developers
  • Offers editable output so developers retain control over the final code
  • Streamlines the front-end workflow and improves collaboration

Recommended for

  • Front-end developers who want to accelerate UI implementation
  • Designers looking to hand off designs as usable code
  • Startups and small teams needing to build interfaces quickly
  • Agencies handling multiple client projects with tight deadlines
  • Teams wanting to improve designer-developer collaboration

Spleeter videos

SPLEETER VS IZOTOPE RX7 (Which is the best DIY acapella tool?)

More videos:

  • Review - How-to Spleeter โ€” Split audio with Deezer's AI tool in 2019
  • Tutorial - How to Get the Stems of ANY Song || Installing & Using Spleeter
  • Demo - Sober
  • Demo - Wadani
  • Demo - pl

pxCode videos

Turn Figma Design to HTML Code Using pxCode Plugin

More videos:

  • Review - The FASTEST TOOL to build a Responsive Webpage - Case Study 2 w/ pxCode [No Hand-Coding]

Category Popularity

0-100% (relative to Spleeter and pxCode)
Music
100 100%
0% 0
Web Development
0 0%
100% 100
Audio & Music
100 100%
0% 0
Web Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Spleeter seems to be more popular. It has been mentiond 135 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.

Spleeter mentions (135)

  • When One Track Becomes Four: How AI Stem Splitting Gave Me Back My Creative Time
    The category of tools leveraging AI for stem separation works best when you treat them like a utility, not a creative oracle. They are sophisticated pattern recognition systems, not mind-readers. I learned this the hard way. On one test, I tried splitting a heavily distorted guitar track layered with synths. The result sounded watery and thin. That wasnโ€™t the tool failingโ€”it was me expecting too much from a... - Source: dev.to / 7 months ago
  • Guitar chord karaoke with Vamp, Chordino, and FFmpeg
    Either creating stems from karaoke multitracks (e.g. [0]) or using Spleeter [1] 5-stem mode, probably [0] https://www.karaoke-version.com/ [1] https://github.com/deezer/spleeter. - Source: Hacker News / over 1 year ago
  • Synchronizing pong to music with constrained optimization
    Absolutely wonderful! > "We obtain these times from MIDI files, though in the future Iโ€™d like to explore more automated ways of extracting them from audio." Same here. In case it helps: I suspect a suitable option is (python libs) Spleeter (https://github.com/deezer/spleeter) for beat times. I haven't ventured into this yet though so I may be off. My ultimate goal is to be able to do it 'on the fly', i.e. In a... - Source: Hacker News / almost 2 years ago
  • Are stems a good way of making mashups
    Virtual dj and others stem separator is shrinked model of this https://github.com/deezer/spleeter you will get better results downloading original + their large model. Source: over 2 years ago
  • Big News!
    I have used multiple tools at this point. It depends on the scene. I use https://ultimatevocalremover.com/, https://github.com/deezer/spleeter/, iZotope RX. There are also multiple options online, I would personally recommend https://vocalremover.org/. Source: over 2 years ago
View more

pxCode mentions (0)

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

What are some alternatives?

When comparing Spleeter and pxCode, you can also consider the following products

LALAL.AI - The #1 vocal remover, now a full audio toolkit โ€” separate stems, clean up voice recordings, change and clone voices, all in one place.

Moises - Separate audio tracks using state-of-the-art AI algorithm

VocalRemover.org - Vocal Remover and Isolation. Separate voice from music out of a song free with powerful AI algorithms

Splitter.ai - Isolating instruments from music is now possible using AI, and Splitter is based on Deezer's open source research project Spleeter to accomplish this.

AudioStrip - Extract and isolate vocals from any Audio file/YouTube video using AI and Deep Learning.

Vocal Extractor - Vocal Extractor- Karaoke Maker (iPhone) is an app that allows you to separate karaoke and vocals from a song or audio file.