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Parakeet Stt

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.

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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.

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 10 sections Open source page

Parakeet TDT (Speech-to-Text)

Local transcription using NVIDIA Parakeet TDT 0.6B v3 with ONNX Runtime. Runs on CPU โ€” no GPU required. ~30x faster than realtime.

Installation

# 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

# 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

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

FormatOutputtextPlain textjson{"text": "..."}verbose_jsonSegments with timestamps and wordssrtSRT subtitlesvttWebVTT 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 โ€” no configuration needed.

Web Interface

Open $PARAKEET_URL in a browser for drag-and-drop transcription UI.

Docker Management

# 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

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc