
AI mixing and mastering for musicians and producers, built on research from Queen Mary University of London. Upload up to 32 stems and export a DAW-ready project for Ableton Live, Bitwig Studio or Fender Studio.
A startup from London, the United Kingdom that is founded by David Ronan.
This page is designed to help you find out whether Automix is good and if it is the right choice for you.
Automix by RoEx is an AI mixing and mastering platform for musicians and producers. Upload up to 32 individual stems and Automix analyses each track, then applies EQ, compression, panning and dynamic processing to create a balanced, professional mix. An optional mastering stage prepares the finished track for release on streaming platforms.
Automix Pro exports the finished project as a DAW-ready file for Ableton Live, Bitwig Studio or Fender Studio, with every processing decision visible and editable inside native plugins. This is a differentiator that most AI mixing and mastering tools do not offer, since they only return a finished stereo file.
Other features include Audio Cleanup, which removes noise and interference from recordings before mixing, and a detailed Mix Report explaining the decisions Automix made and why, useful for learning as well as production.
Automix is built on audio research from Queen Mary University of London. Free previews are available, with Pay As You Go credits or an Automix Pro subscription for downloads.
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Multitrack stem mixing
Upload up to 32 stems for AI-balanced mixing
DAW export
Export as a DAW-ready project for Ableton Live, Bitwig Studio or Fender Studio
AI mastering
Optional mastering stage for release-ready loudness and tonal balance
Audio Cleanup
Remove noise and interference from recordings before mixing
Mix Report
Detailed breakdown of every mixing decision Automix made and why
Editable processing
Every decision is visible and adjustable in native plugins inside your DAW
Automix Desktop
Mix and master locally on macOS or Windows, no uploads needed
A/B comparison
Compare your original stems against the processed mix in real time
Per-stem controls
Fine-tune levels and processing on individual stems after the mix
Free previews
Hear your mix before paying, with Pay As You Go credits or Pro for downloads
Automix is an AI mixing tool, not just an AI mastering tool. Most AI audio services only master a finished stereo file, while Automix mixes up to 32 individual stems, applying EQ, compression, panning and dynamics to each track to build a balanced mix. Automix Pro then exports the result as a DAW-ready project for Ableton Live, Bitwig Studio or Fender Studio, with every processing decision visible and editable in native plugins. A Mix Report explains what Automix did and why, so producers can learn from each mix rather than receiving a black-box result.
Automix is powered by TonnSDK, RoEx's own audio engine combining machine learning with digital signal processing, built on mixing research from Queen Mary University of London. The same technology runs the Tonn API, which has processed over 8 million tracks to date. Automix analyses each stem and makes per-track decisions on level, panning, EQ, compression and dynamics, with processing running either in the cloud or locally in Automix Desktop.
Choose Automix if you want help with the mix itself, not just the final polish. Mastering tools like LANDR and eMastered can only work with a finished stereo track, so they cannot fix problems between instruments. Automix works at stem level, and because the output opens as an editable DAW project, you keep full creative control instead of being locked into a stereo file. Automix Desktop can also process everything locally on your own machine, so your stems never have to be uploaded. Free previews let you hear the mix before paying.
Automix is built for independent musicians, bedroom producers, songwriters and content creators who want a professional-sounding mix without years of engineering experience or the cost of hiring a mix engineer. It is also used by experienced producers who want a fast, balanced starting point they can refine in their DAW, and by artists looking to remix or rescue live and archived recordings.
Automix grew out of a PhD project at Queen Mary University of London's Centre for Digital Music, researching how machine learning and signal processing could automate multitrack mixing. RoEx was founded in London by CEO David Ronan, alongside Professor Josh Reiss, to turn that research into tools for creators. Post launch Automix has expanded from the web to a desktop app that runs locally, with DAW export for Ableton Live, Bitwig Studio and Fender Studio.
Automix's creators RoEx also created Mix Check Studio. A platform that gives you actionable feedback on your audio mixes and masters and enables you to fix issues found in your tracks with the Mastering+ feature. RoEx's suite of intelligent audio tools are integrated into leading music and entertainment platforms through API and SDK integrations.
Companies including UnitedMasters, Music.AI and Boombox integrate RoEx's audio technology directly into their services. RoEx also has partnerships with Yamaha, Amuse, un:hurd music, Ditto Music, ASCAP and BMI - where their artists are given exclusive access to Automix and Mix Check Studio.
We have collected here some useful links to help you find out if Automix is good.
Check the traffic stats of Automix 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 Automix 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 Automix'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 Automix 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.
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