Music and Audio Software: DAWs, Stems and AI Audio
Search for a DAW and you'll find a hundred places to buy one. Very few teams build them. We do: browser-based multitrack editors, stem separation pipelines, music analysis and AI audio tools, built on the same stack that runs our own music studio product.
- Browser DAW with multitrack editing
- Stem separation and music analysis pipelines
- AI audio and sonic branding tools
What we have built
music.tardis.digital, our own studio product, is a working reference for everything on this page. Users drop in a track; the platform separates it into stems on GPU, analyses tempo, key, mood and instrumentation, and loads the stems into a browser-based multitrack editor with waveform rendering, time-stretching and pitch-shifting.
That means we have already solved the unglamorous parts: decoding and resampling audio in the browser, keeping playback in sync across tracks, rendering waveforms without freezing the UI, and queueing GPU jobs so a burst of uploads doesn't fall over.
What we build for clients
Browser DAWs and editors
Multitrack recording and editing on the Web Audio API: waveform rendering, regions, time-stretch and pitch-shift, export, with no install for your users.
Stem separation
Vocals, drums, bass and other stems separated on GPU with open models, wrapped in a job queue and API your product can call.
Music analysis
Tempo, beats, key, chroma, genre, mood and instrument tags from audio, using librosa, Essentia and audio classification models, calibrated against labelled data.
AI audio and sonic branding
Generation and variation tools for jingles, sonic logos and background music, with human control over the result rather than a single take.
Catalogue and search
Search a music library by sound, not just metadata: similarity search over audio embeddings for sync licensing, labels and production libraries.
Learning tools
Practice and feedback apps for music schools: pitch and rhythm detection, play-along tracks and progress tracking.
Who this is for
- Music-tech startups that need audio engineering depth, not a generic app agency.
- Labels, publishers and production libraries managing large catalogues.
- Film, OTT and ad post-production teams that need custom tooling for their pipeline.
- Music schools and teachers building practice and assessment tools.
- Podcast and creator platforms adding editing, cleanup and stem tools.
Frequently asked questions
Browser or native app?
The browser is now good enough for most editing, analysis and collaboration work, and it removes installs. For ultra-low-latency live recording or plugin hosting we will recommend native components and say so up front.
How good is stem separation?
Open models now separate vocals, drums and bass well on most commercial mixes. Dense or unusual arrangements still produce artefacts, so we test on a sample of your own catalogue before you commit.
Can you analyse Indian classical or film music?
We can build it, with a caveat: most off-the-shelf models are trained mainly on Western music. For raga, tala or regional styles we budget for labelled data and calibration so results are trustworthy.
What about licensing for AI-generated audio?
We document the model and training-data licence of every component we use, and can restrict generation to models whose terms suit commercial use. Rights questions are yours to decide; we make sure you have the facts.
Do we own the software?
Yes. The code is yours, in your repositories. Reusable open-source components stay under their original licences, which we list for you.
Tell us about your audio product
Five fields. An engineer reads it and replies within one working day (IST), usually with a first opinion, not a sales pitch.