360 Secure SkillHub
360 安全技能中心

Parakeet Stt

通过 Docker 或 Python 本地部署 NVIDIA Parakeet TDT 0.6B v3 ONNX 语音转写服务，暴露 OpenAI 兼容的 /v1/audio/transcriptions 接口；用 curl 或 OpenAI SDK 上传音频，获得纯文本、带时间戳 JSON 或 SRT/VTT 字幕，支持 25 种语言自动检测且无需云 API。

carlulsoe
carlulsoe
热度 93.04
最近更新 2026-05-11 15:48:53
分类：效率依赖：代码执行 / 第三方 API应用场景：文件转换 / 数据处理

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add parakeet-stt
Metadata
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

# 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

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

# 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