All Features open to public Contributions ⭐

• Preview Blocks/Chapters before to start the conversion
• Edit by sentence converted for surgical text and SML tags changes
• Change voice per chapter or sentence with SML tags
• -h -help parameter info in different languages
• OCR scanning for PDF / JPG / BMP / PNG / TIFF
• Notebooks Folder Talked about here
• Make Chinese text splitting not split words and improve pause timing Talked about here
• Get Kaggel Notebook working
• Get Working Google Colab Notebook Talked about here
  
• Make a ios app
• Make an android app
• Audiobookshelf integration

Wanted Extra Parameters

• Ebook Translation option
• Output format choicec
• Batch ebook folder
• Multiprocessing conversion
• Make ebook input parameter accept a folder containing ebook files to auto-run through.
• GPU Device detection and install the right torch/torchaudio pkg
• Denoise any reference audio for upload voice cloning,
• Custom model dir input for pointing to a folder containing all of the custom model files if available instead of having to point to each model file individually

TTS engines integration

• XTTSv2
• Bark
• Fairseq
• VITS
• Tacotron2
• YourTTS
• Tortoise
• GlowTTS
• Piper-TTS
• CosyVoice (https://github.com/FunAudioLLM/CosyVoice)
• Kokoro-TTS
• Orpheus-TTS
• Zonos
• Style-TTS2
• GPT-SoVITS
• F5-TTS (Feature Requests!  #38 (comment))
• VIbeVoice (https://github.com/vibevoice-community/VibeVoice)
• Qwen3-TTS (https://huggingface.co/spaces/Qwen/Qwen3-TTS)
• NewTTS (https://github.com/neuphonic/neutts?tab=readme-ov-file)
• Speedy-Speech
• Supertonic (https://github.com/supertone-inc/supertonic)
• Align-TTS
• Delightful-TTS
• Spark-TTS

Create Readme in these languages

• Arabic (ara)
• Chinese (zho)
• English (eng)
• Spanish (spa)
• French (fra)
• German (deu)
• Italian (ita)
• Portuguese (por)
• Polish (pol)
• Turkish (tur)
• Russian (rus)
• Dutch (nld)
• Czech (ces)
• Japanese (jpn)
• Hindi (hin)
• Bengali (ben)
• Hungarian (hun)
• Korean (kor)
• Vietnamese (vie)
• Swedish (swe)
• Persian (fas)
• Yoruba (yor)
• Swahili (swa)
• Indonesian (ind)
• Slovak (slk)
• Croatian (hrv)

🐍 Compatibility

• 🍎 Mac Intel x86
• 🪟 Windows x86
• 🐧 Linux x86
• 🖥️🍏 Apple Silicon Mac
• 🪟💪 ARM Windows
• 🐧💪 ARM Linux

Extra Overkill for training models and such (All supported Coqui-tts models and piper-tts in one easy command)

• For info about this @DrewThomasson, he is currently working on the development of this, work-in-progress-repo here
• Make a easy to use training gui for all coqui-tts models in the ljspeech format training recipes here from coqui tts

Auto-testing scripts for development

• Standard model headless run through every language sample Samples located here

Python Code normalization information for contributors

• no blank line between code, unless between functions and classes.
• single quote used for all key unless for dict() and json. dict['key'] always called with single quote
• 4 spaces indentation, not tab at all
• strict typing for all functions and its arguments declaration and return values
• no space between the argument and its typing, no space between the function, the "->" and the return value

Example:

import json
from typing import Optional

def get_user(user_id:int, users:list[dict])->Optional[dict]:
    for user in users:
        if user['id'] == user_id:
            return user
    return None

def summarize(user:dict)->str:
    return f"User {user['name']} is {'active' if user['is_active'] else 'inactive'}."

def to_json(user:dict)->str:
    return json.dumps({"id": user['id'], "name": user['name'], "email": user['email']})

users:list = [
    dict(id=1, name='alice', email='[email protected]', role='admin', is_active=True),
    dict(id=2, name='bob', email='[email protected]', role='editor', is_active=False),
    dict(id=3, name='carol', email='[email protected]', role='viewer', is_active=True),
]
config = {
    "max_users": 100,
    "default_role": "viewer",
    "allow_signup": True,
}
roles = ['admin', 'editor', 'viewer']
found = get_user(1, users)
if found:
    print(summarize(found))
    print(found['email'])
    print(to_json(found))
if config['default_role'] in roles:
    print(config['default_role'])

Hardware donation for beta tests wanted

We accept any kind of hardware to test our development like:

• Nvidia supporting cuda >= 11.8
• XPU intel cards
• ROCm AMD cards supporting ROCm >=5.7

@DrewThomasson if you want to help out at all! 😃