The problem in work like this is not making a good-looking app; it is putting a phone in the middle of a real audio signal chain and having it keep up. Sound comes in over an audio interface or Bluetooth, is processed on the device, and goes out to the destination hardware with latency low enough to play live. The main work therefore lies in routing the signal, measuring latency, and modelling the sound with AI. ThinkVerse AI has already built one such app, Guitarout, for guitarists.
Built for
Musical instrument and audio businesses that want to move the capabilities of expensive hardware into a mobile app
Putting the phone in the middle of the signal chain
The system starts by showing the user the signal path plainly from the first screen: instrument into audio interface, into the app, out to the destination device. From there they choose one of three output configurations: into the input on the front of an amp, into the FX Return or Power Amp In on the back, or into a full-range speaker such as a powered cab, an FRFR or a mixer and PA system. When the user picks a mode that uses the real hardware's power amp and speaker, the system switches off its own amp and cabinet simulation automatically, so the sound is not coloured twice.
- Shows the signal path from source to destination
- Three output configurations, matched to the hardware the user actually has
- Amp and cabinet simulation switched off automatically when it is not needed
- Works over an audio interface or Bluetooth
Straight talk about latency
Mobile audio apps tend to fail at the same point: latency. So there is a device test mode on a tab of its own. The user plugs in their hardware and presses test; the system reports what device it found, measures the background noise level and estimates the latency, then sums it up as a usable answer: whether this rig is ready for playing live, rehearsing or recording. Users who do not yet have hardware can test through the phone's built-in microphone, and the system says plainly which figures it cannot measure. There are also three latency settings, and if the lowest one is more than that device can manage, the system steps back up by itself rather than letting the audio break up.
An editable effects chain, and amp modelling with AI
The effects screen is an eleven-slot signal chain, each slot editable on its own: noise gate, compressor, overdrive, distortion, EQ, the amp and cabinet stage, then chorus, delay and reverb. Every slot offers a choice of models and its own adjustable settings. Once the sound is right it can be saved as a new patch to call up on the next job. Behind the amp stage is AI Neural Amp modelling, the same approach that current amp modellers use. The remaining tabs (a tuner and a patch library) make the app complete enough to serve as someone's main set of tools.
- An eleven-slot signal chain, each slot editable on its own
- Several effect models to choose from in each slot
- Save a sound you have dialled in as a new patch
- Amp stage modelled with AI Neural Amp
- Tuner and patch library in the same app