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n8n-nodes-parakeet
An n8n community node for Parakeet — offline speech-to-text powered byparakeet.cpp (the parakeet-cli binary from the
official ghcr.io/ggml-org/whisper.cpp:main image) and theggml-parakeet-tdt-0.6b-v3-q8_0 model.
Runs fully on-device / offline. No API keys, no cloud.
Install into n8n
n8n add-nodes n8n-nodes-parakeet
# or, in a container:
docker exec -it <n8n> n8n nodes:install n8n-nodes-parakeet
On first run the node self-heals (no postinstall):
- downloads the
3 MB/.n8n/parakeet/bin/parakeet-cli+ shared libraries to `- /`, and - downloads the
638 MB model to `/.n8n/parakeet/models/ggml-parakeet-tdt-0.6b-v3-q8_0.bin`.
Neither the binary nor the model is shipped in the npm package. Both are fetched once and
cached under n8n's standard data volume (~/.n8n), so they survive container/pod restarts.
To use local copies instead, setPARAKEET_CLI_PATH/PARAKEET_MODEL_PATH.
Node inputs
| Input | Maps to parakeet-cli |
Description |
|---|---|---|
| Input = Binary / URL | -f FILE |
Audio source: a binary property from a previous node, or a URL (wav/mp3/flac/ogg). |
| Binary Property | — | Name of the binary property holding the audio (default data). |
| Audio URL | -f |
Used when Input = URL. |
| Model Path | -m FILE |
Leave empty to use the cached q8_0 model. |
| Options → Threads | -t N |
CPU threads (default 4). |
| Options → Use GPU | (omit -ng) |
Enable GPU; requires a CUDA/Metal build. Default off. |
| Options → GPU Device | -dev N |
GPU device index. |
| Options → Print Segments | -ps |
Include per-segment / per-token detail. |
| Options → Write Text File | -otxt |
Also write a .txt (returned as a transcript binary property). |
| Options → Output File Base Path | -of FILE |
Base path for the .txt output. |
| Options → Quiet | -np |
Suppress parakeet-cli logging; only the transcript is returned. |
Every parakeet-cli flag is exposed as a node input.
Output
Each input item produces one output item:
{
"json": {
"text": "And so, my fellow Americans, ask not what your country can do for you, ask what you can do for your country.",
"model": "ggml-parakeet-tdt-0.6b-v3-q8_0.bin",
"input": "data"
}
}
With Write Text File enabled, a transcript binary property (the .txt) is also attached.
Environment variables
| Variable | Purpose |
|---|---|
PARAKEET_MODEL_PATH |
Use this exact .bin file; skips the auto-download. |
PARAKEET_CLI_PATH |
Use this exact parakeet-cli binary; skips the auto-download. |
PARAKEET_MODEL_URL |
Override the model download URL. |
Binary + model (runtime download)
The npm package contains no binaries or weights. On first run the node downloads:
parakeet-cli+ itslibparakeet/libggmlshared libraries (3 MB) from a GitHub Release/.n8n/parakeet/bin/
asset, extracted to `- / . The binary uses$ORIGINrpath so it runs with noLD_LIBRARY_PATH`.- the
638 MB model from Hugging Face to `/.n8n/parakeet/models/`.
Both live under n8n's standard data volume, so they survive container/pod restarts. The binary
is extracted from the official ghcr.io/ggml-org/whisper.cpp:main Docker image by.github/workflows/build-and-publish.yml (a new GitHub Release is cut per tag).
Build from source
npm install --ignore-scripts # n8n-workflow pulls a native dep that needs no build here
npm run build # tsc -> dist/nodes/Parakeet/Parakeet.node.js
node smoke.test.js # end-to-end smoke test (needs model + jfk.wav)
License
MIT. The parakeet-cli binary and the Parakeet model are subject to their respective
licenses (whisper.cpp / Parakeet).