Table of contents
Ease of Use
Splitter.ai offers a user-friendly interface, making it easy for individuals with varying levels of technical expertise to separate audio tracks.
Effective Separation
The platform uses advanced algorithms to provide high-quality separation of vocals and instrumentals, ensuring the outputs are clear and usable for various purposes.
Time-Saving
Automates the process of separating audio tracks, significantly reducing the time required compared to manual separation methods.
Accessibility
Being a web-based application, it is accessible from anywhere with an internet connection, eliminating the need for specific software installations.
Cost-Effective
Offers a free tier for basic usage, making it budget-friendly for users who require occasional audio separation.
Overall, Splitter.ai is a valuable tool for anyone involved in music production or analysis. Its straightforward interface and efficient processing make it a popular choice among users seeking a quick solution for audio separation tasks.
We have collected here some useful links to help you find out if Splitter.ai is good.
Check the traffic stats of Splitter.ai on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Splitter.ai on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Splitter.ai's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Splitter.ai on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Splitter.ai on Reddit. This can help you find out how popualr the product is and what people think about it.
Check what AI can do for you. https://splitter.ai/. Source: about 3 years ago
Https://splitter.ai/ Here is one but.. That is also for music. It might be able to do it, or not. Source: about 3 years ago
There is a way to split instrumental and vocals, but it's using an AI, and pretty often it doesn't offer perfect results. Link here. Source: about 3 years ago
The Spleeter algorithm is free to use and implement, so this app is just charging you for a GUI. Plenty of websites (like https://splitter.ai) will let you run the Spleeter model on your own tracks completely for free. I would definitely suggest trying out Spleeter on one of those websites before buying a GUI for it, because it can sound pretty artificial compared to some other algorithms. Source: about 3 years ago
If you haven't got a following yet, release bootleg remixes for free download on soundcloud, ripping voclas out of tracks using splitter.ai work on growing your brand and getting your music heard (TikTok is great for this). Within a year or two you'll be in a muuuch better position to be approaching labels with original material. Source: about 3 years ago
As someone else mentioned you will probably get passable results using ai tools such as splitter.ai or lalal.ai . Best results from using flac/wav/aiff. Source: over 3 years ago
Riffusion + Spleeter is also a really cool pipeline as well for creating samples. Source: over 3 years ago
Do you have samples? I can give you a tip: use Splitter to get out the vocals, it's not always perfect, but maybe it'll be good with this song. You can always try to hide imperfections under the music. Source: over 3 years ago
Sounds more like an actual bassline to me, not a rumble. Try recording it, putting it into Ableton and high pass filter it so you can only hear the subs. Or use a tool like splitter.ai (results may vary here) to isolate the bassline. Source: over 3 years ago
I've used this one a few times: https://splitter.ai/. Source: over 3 years ago
Once you have the original music you need to create an instrumental version. You can use the free versions of splitter.ai or x-minus.pro . If the free version doesn't meet your requirements it's not very expensive for the paid version. Source: over 3 years ago
Yes it is available. Program like this. Https://splitter.ai/. Source: over 3 years ago
I am not sure if this will help (I only know of the tool, have never used it), but maybe try https://splitter.ai/. Source: over 3 years ago
Transcribe! Is awesome, I use it all the time. I haven't tried splitter.ai, I'll give it a shot. But my goal is to do it without these 'hacks'. Source: over 3 years ago
You can use AI tools to do this. I used this one to separate the stems for a trailer I wanted to replicate Splittersplitter or LaLa. Source: over 3 years ago
I tried to isolate the audio from the video using splitter.ai, and then Shazaam it, but it came out a little crunchy, and shazaam was no help. Source: over 3 years ago
You could use something like 2 Stem X by https://splitter.ai. Source: over 3 years ago
Thank you for your compliments!! splitter.ai was the website for this..... But the original tracks mixing was a bit old-school/casette-tape style, so the extracted acapella was very bad in quality, affecting the quality of the entire mix. Source: over 3 years ago
I need an accept for "In the Night by The Weeknd", and I got this: https://www.youtube.com/watch?v=cRoeKF2tYq4 I tried to use splitter.ai to do it, but it wasn't that good. Does anyone know how they do this? Source: over 3 years ago
There are a few of these AIs around now. Try lalala.ai or splitter.ai. Source: over 3 years ago
Damn this is wayyyy better than what I was using, splitter.ai. Thanks for the tip! Source: over 3 years ago
Splitter.ai has garnered a mixed reception within the music production and audio processing communities. As an AI-powered tool, it caters primarily to enthusiasts and professionals needing to separate audio tracks, such as vocals and instrumentals, from existing music recordings. However, public opinion suggests a divergence in satisfaction levels, largely dependent on expectations and usage contexts.
One of the prominent commendations for Splitter.ai is its accessibility. As an open-source web tool based on Deezer's Spleeter technology, Splitter.ai provides a free-to-use platform for audio decomposition without substantial financial commitment. Its ease of use aligns with the needs of individuals looking for entry-level solutions, particularly hobbyists and independent artists. Many users appreciate its utility for creating remixes or karaoke tracks, reiterating that itโs a decent option within the free segment of stem separation tools.
Nevertheless, users express considerable reservations regarding the quality of results produced by Splitter.ai. Across various mentions, there is a recurrent theme of users finding the separation results less than perfect. Artifacts, such as an artificial sound or degraded audio quality, are frequently cited among users who have experienced similar difficulties even with competitive products in the Ai-based audio space. In some cases, users mention that alternatives like LALAL.AI or other advanced tools potentially offer better output, despite the additional cost.
The limitation in achieving high fidelity separations is a critical feedback point, especially among professionals or users with more discerning quality standards. For instance, when attempting to isolate vocals or other distinct audio elements from complex tracks, the results can be inconsistent, sometimes necessitating further post-processing to ameliorate imperfections.
Moreover, Splitter.aiโs role as a straightforward application of the Spleeter algorithm means that while it provides a convenient GUI for lay users, it does not introduce novel improvements or advanced processing techniques beyond what Spleeter inherently offers. As a result, while it meets basic needs, users whose projects demand high-level audio accuracy and clarity may find it lacking.
In summary, Splitter.ai's public perception pinpoints its inclusivity and availability as strengths, paired with its fundamental utility in basic music and audio decomposition tasks. However, its reliance on an underlying algorithm that faces stiff competition underscores its limitations in delivering the pristine results that professional or critical use cases might demand. For many, Splitter.ai represents a pragmatic starting point but potentially an interim solution pending further technological enhancements or until higher-grade tools become accessible.
Do you know an article comparing Splitter.ai to other products?
Suggest a link to a post with product alternatives.
Is Splitter.ai good? This is an informative page that will help you find out. Moreover, you can review and discuss Splitter.ai here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
