rlvoice-1 1.3.4

Text to Speech (TTS) library for Python 3. Works without internet connection or delay. Supports multiple TTS engines, including Sapi5, nsss, and espeak.

Credits to nateshmbhat for creating the original library pyttsx3.

Offline Text To Speech (TTS) converter for Python

RLVoice is a text-to-speech conversion library in Python. Unlike alternative libraries, it works offline.

Installation :

pip install rlvoice-1

If you get installation errors , make sure you first upgrade your wheel version using :
pip install --upgrade wheel

DO NOT USE pip install rlvoice, make sure you add the -1 next to it, or it will download the wrong package.

Linux installation requirements :

• If you are on a linux system and if the voice output is not working , then :

  Install espeak , ffmpeg and libespeak1 as shown below:

   sudo apt update && sudo apt install espeak ffmpeg libespeak1
  

OS X installation requirements :

• If you are on a MacOS system and if you get an error such as NameError: name 'objc' is not defined. Did you mean: 'object'? , then :

  Install the pyobjc library as shown below:

   pip install pyobjc==9.0.1
  

Features :

• ✨Fully OFFLINE text to speech conversion
• 🎈 Choose among different voices installed in your system
• 🎛 Control speed/rate of speech
• 🎚 Tweak Volume
• 📀 Save the speech audio as a file
• ❤️ Simple, powerful, & intuitive API

Usage :

import rlvoice

engine = rlvoice.init()
engine.say("I will speak this text")
engine.runAndWait()

Single line usage with speak function with default options

import rlvoice

rlvoice.speak("I will speak this text")

Changing Voice , Rate and Volume :

import rlvoice

engine = rlvoice.init()  # object creation

""" RATE"""
rate = engine.getProperty('rate')  # getting details of current speaking rate
print(rate)  # printing current voice rate
engine.setProperty('rate', 125)  # setting up new voice rate

"""VOLUME"""
volume = engine.getProperty('volume')  # getting to know current volume level (min=0 and max=1)
print(volume)  # printing current volume level
engine.setProperty('volume', 1.0)  # setting up volume level  between 0 and 1

"""VOICE"""
voices = engine.getProperty('voices')  # getting details of current voice
# engine.setProperty('voice', voices[0].id)  #changing index, changes voices. o for male
engine.setProperty('voice', voices[1].id)  # changing index, changes voices. 1 for female

engine.say("Hello World!")
engine.say('My current speaking rate is ' + str(rate))
engine.runAndWait()
engine.stop()

"""Saving Voice to a file"""
# On linux make sure that 'espeak' and 'ffmpeg' are installed
engine.save_to_file('Hello World', 'test.mp3')
engine.runAndWait()

Full documentation is located in the docs folder.

Included TTS engines:

• sapi5
• nsss
• espeak
• coqui_ai_tts

Feel free to wrap another text-to-speech engine for use with rlvoice-1.

Project Links :

• PyPI (https://pypi.org/project/rlvoice-1)
• GitHub (https://github.com/Akul-AI/rlvoice-1)