独学

Dictation

.md
optionaluv run slp setup

Dictate notes or answer oral exam questions out loud. Runs locally with Whisper; without it, the mic tells you how to use your OS dictation instead.

windows arm
uv run --python cpython-3.12-windows-x86_64-none slp
transcribe by hand
uv run slp transcribe attempts/2026-09-24T1030-p3.webm en
system engine · disk
macOS Apple Silicon mlx-whisper (GPU) · ~2.7 GB
macOS Intel, Linux, Windows x64 faster-whisper (CPU) · ~0.7 GB
Windows ARM faster-whisper, emulated x64 · ~0.7 GB

In the notes

ctrl+m or the mic button starts and stops. The key can be changed in settings → shortcuts. Grey text is provisional and keeps changing while you talk; every ~15 s the finished part is committed. The language is the topic's language.notes.

In exams

Oral answers are recorded, not transcribed live. The audio is saved next to the attempt and slp-grade transcribes it to grade the content, not pronunciation.

Models

size disk RAM
tiny ~75 MB ~1 GB
base ~145 MB ~1 GB
small ~480 MB ~2 GB
medium ~1.5 GB ~5 GB
turbo ~1.6 GB ~6 GB
large-v3 ~3 GB ~10 GB
default
turbo on Apple Silicon, small on CPU
choose
voice_model in settings → global: a size, or the path to a model you already have
where it comes from
models/ first; if missing, the online profile downloads it on first use and offline uses a cached copy or falls back to the OS dictation
uv run slp setup
auto and online download turbo; offline shows your RAM and disk, suggests a size and lets you pick one, a path, or none

Markdown formats

The documentation is also available in llms.txt formats:

  • llms.txt lists every documentation page.
  • llms-full.txt contains the complete documentation in one file and may exceed some context windows.

Append .md to any documentation URL to retrieve that page as Markdown. For example, this page is available at https://selflearningplatform.github.io/docs/dictation.md. You can also copy the current page as Markdown by pressing Cmd+C or Ctrl+C.