According to AlphaMoat, as of 2026-09, Parakeet Stt has 3,395 downloads and 1 stars — ranked #3,299 of 5,078 AI skills overall, and #304 of 512 in Design & Media.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 107 | 3.2K | 1 | 2 |
| SkillHub ↗ | 185 | 3.4K | 1 | — |
Platforms count differently and update at different times.
The primary describes CPU-based local transcription using ONNX Runtime and an OpenAI-compatible API, with outputs including text, JSON, timestamped segments, SRT, and VTT. It states a speed of about 30x Whisper and support for 25 languages; these are source claims and actual performance depends on deployment conditions.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.4K | — | 1 |
| 2026-08 | 3.2K | +3.9% | 1 |
| 2026-07 | 3.0K | +6.8% | 1 |
| 2026-06 | 2.9K | +4.0% | 1 |
| 2026-05 | 2.7K | — | 1 |
| 2026-03 | 2.3K | — | 1 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
---
name: parakeet-stt
description: >-
Local speech-to-text with NVIDIA Parakeet TDT 0.6B v3 (ONNX on CPU).
30x faster than Whisper, 25 languages, auto-detection, OpenAI-compatible API.
Use when transcribing audio files, converting speech to text, or processing
voice recordings locally without cloud APIs.
homepage: https://github.com/groxaxo/parakeet-tdt-0.6b-v3-fastapi-openai
metadata: {"clawdbot":{"emoji":"🦜","env":["PARAKEET_URL"]}}
---
# Parakeet TDT (Speech-to-Text)
Local transcription using NVIDIA Parakeet TDT 0.6B v3 with ONNX Runtime.
Runs on CPU — no GPU required. ~30x faster than realtime.
## Installation
```bash
# Clone the repo
git clone https://github.com/groxaxo/parakeet-tdt-0.6b-v3-fastapi-openai.git
cd parakeet-tdt-0.6b-v3-fastapi-openai
# Run with Docker (recommended)
docker compose up -d parakeet-cpu
# Or run directly with Python
pip install -r requirements.txt
uvicorn app.main:app --host 0.0.0.0 --port 5000
```
Default port is `5000`. Set `PARAKEET_URL` to override (e.g., `http://localhost:5092`).
## API Endpoint
OpenAI-compatible API at `$PARAKEET_URL` (default: `http://localhost:5000`).
## Quick Start
```bash
# Transcribe audio file (plain text)
curl -X POST $PARAKEET_URL/v1/audio/transcriptions \
-F "file=@/path/to/audio.mp3" \
-F "response_format=text"
# Get timestamps and segments
curl -X POST $PARAKEET_URL/v1/audio/transcriptions \
-F "file=@/path/to/audio.mp3" \
-F "response_format=verbose_json"
# Generate subtitles (SRT)
curl -X POST $PARAKEET_URL/v1/audio/transcriptions \
-F "file=@/path/to/audio.mp3" \
-F "response_format=srt"
```
## Python / OpenAI SDK
```python
import os
from openai import OpenAI
client = OpenAI(
base_url=os.getenv("PARAKEET_URL", "http://localhost:5000") + "/v1",
api_key="not-needed"
)
with open("audio.mp3", "rb") as f:
transcript = client.audio.transcriptions.create(
model="parakeet-tdt-0.6b-v3",
file=f,
response_format="text"
)
print(transcript)
```
## Response Formats
| Format | Output |
|--------|--------|
| `text` | Plain text |
| `json` | `{"text": "..."}` |
| `verbose_json` | Segments with timestamps and words |
| `srt` | SRT subtitles |
| `vtt` | WebVTT subtitles |
## Supported Languages (25)
English, Spanish, French, German, Italian, Portuguese, Polish, Russian,
Ukrainian, Dutch, Swedish, Danish, Finnish, Norwegian, Greek, Czech,
Romanian, Hungarian, Bulgarian, Slovak, Croatian, Lithuanian, Latvian,
Estonian, Slovenian
Language is auto-detected — no configuration needed.
## Web Interface
Open `$PARAKEET_URL` in a browser for drag-and-drop transcription UI.
## Docker Management
```bash
# Check status
docker ps --filter "name=parakeet"
# View logs
docker logs -f <container-name>
# Restart
docker compose restart
# Stop
docker compose down
```
## Why Parakeet over Whisper?
- **Speed**: ~30x faster than realtime on CPU
- **Accuracy**: Comparable to Whisper large-v3
- **Privacy**: Runs 100% locally, no cloud calls
- **Compatibility**: Drop-in replacement for OpenAI's transcription API
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.