py-xiaozhi logo
py-xiaozhi
★ 3.5k
vs
Parrot logo
Parrot
★ 114

py-xiaozhi vs Parrot

py-xiaozhi: py-xiaozhi is a Python-based client for the Xiaozhi AI voice assistant, designed for learning through code and experiencing AI voice features without dedicated hardware. It integrates core AI capabilities like voice interaction, visual multi-modality, and smart wake-up, alongside a rich MCP tool ecosystem and IoT device integration.; Parrot: Parrot is a Mac meeting recorder with a live AI assistant, designed to transcribe calls, suggest answers from documents, and generate reports in real-time. It supports various AI models, including local ones via Ollama, ensuring privacy by keeping data on your Mac.

01

TL;DR

py-xiaozhi logo
py-xiaozhiVoice / Speech · ★ 3.5k
When to choose:
  • You want to try the Xiaozhi voice assistant on a computer without ESP32 hardware.
  • You want offline wake words with Sherpa-ONNX, echo cancellation and a GUI or command-line mode.
  • You want ready MCP tools such as schedules, timers, music, train tickets, web search and maps.
When to skip:
  • You want a self-contained assistant: AI features depend on the Xiaozhi service.
  • You cannot use Python 3.9 to 3.12, working audio devices and an internet connection.
  • You want to self-host the backend: that is the server projects' job.
Parrot logo
ParrotVoice / Speech · ★ 114

Automate meeting note-taking, transcription, and summary generation for various professional calls (sales, interviews, 1:1s).

02

Side-by-Side Comparison

Field
py-xiaozhi logopy-xiaozhi
Parrot logoParrot
Category
Voice / Speech
Voice / Speech
Stars
★ 3.5k
★ 114
License
MIT
GPL-3.0
Install Command
pip install -r requirements.txt
git clone https://github.com/turantekin/Parrot.git && cd Parrot && make run
Updated
1mo ago
1w ago
Open Source
Yes
Yes
Tags
AI Voice Assistant, Python, Multi-modal AI
Meeting Recorder, AI Assistant, Transcription
03

Features

py-xiaozhi logopy-xiaozhi
01AI Voice Interaction
02Visual Multi-modality
03Smart Wake-up
04MCP Tool Ecosystem
05IoT Device Integration
Parrot logoParrot
01Live AI Assistant for real-time suggestions, answers from documents, and call coaching during meetings.
02On-device Knowledge Base allowing users to ground AI answers using their local PDFs, text, or Markdown documents.
03Advanced Speaker Diarization with exact 'Me vs Them' separation, on-device detection, and remembered voice profiles.
04Customizable Call Profiles to tailor Assistant behavior, report structure, and coaching instructions for different meeting types.
05Flexible AI backend choice, including local models via Ollama, Claude, or any OpenAI-compatible server for privacy and cost control.
04

Use Cases

py-xiaozhi logopy-xiaozhi
↳Learning Python AI voice client development
↳Experiencing Xiaozhi AI voice features on PC
↳Remote or automated smart device control
Parrot logoParrot
↳Automate meeting note-taking, transcription, and summary generation for various professional calls (sales, interviews, 1:1s).
↳Provide instant, context-aware answers during live calls by leveraging personal knowledge documents and FAQs.
↳Improve call performance and communication skills through real-time coaching nudges and detailed post-call analytics.
↳Maintain privacy and data security by processing sensitive meeting audio and documents entirely on the local Mac device.
↳Efficiently search and retrieve specific information from past meetings using natural language queries (Ask Parrot feature).
FAQ

FAQ

What is the difference between py-xiaozhi and Parrot?
Both py-xiaozhi and Parrot are in the Voice / Speech category. py-xiaozhi has 3.5k stars, while Parrot has 114 stars.
Which is better, py-xiaozhi or Parrot?
The best choice depends on your use case. Choose py-xiaozhi if Learning Python AI voice client development, and Parrot if Automate meeting note-taking, transcription, and summary generation for various professional calls (sales, interviews, 1:1s)..
Is py-xiaozhi free or open source?
Yes, py-xiaozhi is open source on GitHub (MIT).
Is Parrot free or open source?
Yes, Parrot is open source on GitHub (GPL-3.0).
Cloud Infrastructure
Ad

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit
→

Related