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Thedaw

Thedaw is a desktop digital audio workstation that combines AI-assisted audio generation with multitrack editing, mixing, MIDI and notation tools, DJ controls, and live visuals.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Thedaw — OpenViST project profile in Audio & Voice AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when a desktop workflow needs to span AI-assisted audio creation and subsequent production, notation, DJ performance or visuals.

Who it is for

  • Music producers who want to generate audio and continue editing and mixing it in one desktop studio.
  • Musicians preparing audio for MIDI, notation, lyrics or play-along workflows.
  • Performers combining DJ decks, prepared sets, scene launching or audio-reactive visuals.

Documented uses

  • Generate audio from a text prompt, source audio or a painted region.
  • Combine clips and edit arrangements with fades, automation, effects and WAV rendering.
  • Master tracks, use VST3 or .gan plugins, and check LUFS metering.
  • Convert audio to MIDI and notation, align lyrics to vocals, or draft lyrics with rhyme and syllable analysis.
  • Prepare DJ sets with beat sync, key lock, loops, live stems and Automix; pair music with visual effects.
Before you choose

Requirements & limits

The README describes the application as free, running on the user's computer, with no account or subscription. It documents launch options for Windows, Linux and macOS; model downloads require user permission in settings. Suno is identified as a cloud option.

  • Model downloads are disabled by default; the user must permit downloads in Settings → Models.
  • The README specifies CPU support for the small model and an NVIDIA GPU requirement for the medium model.
  • Suno is identified as cloud-based, distinct from the locally run application described in the README.
  • The documented stack includes Python 3.12, PyTorch/CUDA 13.0, React 19, Vite 7, Tailwind 4 and FastAPI.
  • The public repository lists an MIT license.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install and prepare a first track

Launch the desktop app and prepare its model download for track creation.

Before you start

  • A Windows, Linux or macOS computer.
  • For the documented medium model, an NVIDIA GPU; the small model is documented to run on CPU.

Steps

  1. On Windows, double-click theDAW.bat; on Linux or macOS, run ./theDAW.sh.

  2. Allow missing components to be installed when prompted.

  3. In Settings → Models, allow model downloads; the first CREATE fetches the model it needs.

Expected outcome

The app opens in a browser and is prepared to fetch the selected model when creating a track.

Guide limitations

  • The model does not download automatically.
  • The medium model requires an NVIDIA GPU; the small model runs on CPU.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
14 October 2026
Original website title
gantasmo/theDAW · Official homepage title · retained in its source language
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