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gtts

by @lnj22

Google Text-to-Speech (gTTS) for converting text to audio. Use when creating audiobooks, podcasts, or speech synthesis from text. Handles long text by chunki...

Versionv0.1.0
Downloads546
TERMINAL
clawhub install pg-essay-to-audiobook-gtts

πŸ“– About This Skill


name: gtts description: "Google Text-to-Speech (gTTS) for converting text to audio. Use when creating audiobooks, podcasts, or speech synthesis from text. Handles long text by chunking at sentence boundaries and concatenating audio segments with pydub."

Google Text-to-Speech (gTTS)

gTTS is a Python library that converts text to speech using Google's Text-to-Speech API. It's free to use and doesn't require an API key.

Installation

pip install gtts pydub

pydub is useful for manipulating and concatenating audio files.

Basic Usage

from gtts import gTTS

Create speech

tts = gTTS(text="Hello, world!", lang='en')

Save to file

tts.save("output.mp3")

Language Options

# US English (default)
tts = gTTS(text="Hello", lang='en')

British English

tts = gTTS(text="Hello", lang='en', tld='co.uk')

Slow speech

tts = gTTS(text="Hello", lang='en', slow=True)

Python Example for Long Text

from gtts import gTTS
from pydub import AudioSegment
import tempfile
import os
import re

def chunk_text(text, max_chars=4500): """Split text into chunks at sentence boundaries.""" sentences = re.split(r'(?<=[.!?])\s+', text) chunks = [] current_chunk = ""

for sentence in sentences: if len(current_chunk) + len(sentence) < max_chars: current_chunk += sentence + " " else: if current_chunk: chunks.append(current_chunk.strip()) current_chunk = sentence + " "

if current_chunk: chunks.append(current_chunk.strip())

return chunks

def text_to_audiobook(text, output_path): """Convert long text to a single audio file.""" chunks = chunk_text(text) audio_segments = []

for i, chunk in enumerate(chunks): # Create temp file for this chunk with tempfile.NamedTemporaryFile(suffix='.mp3', delete=False) as tmp: tmp_path = tmp.name

# Generate speech tts = gTTS(text=chunk, lang='en', slow=False) tts.save(tmp_path)

# Load and append segment = AudioSegment.from_mp3(tmp_path) audio_segments.append(segment)

# Cleanup os.unlink(tmp_path)

# Concatenate all segments combined = audio_segments[0] for segment in audio_segments[1:]: combined += segment

# Export combined.export(output_path, format="mp3")

Handling Large Documents

gTTS has a character limit per request (~5000 chars). For long documents:

1. Split text into chunks at sentence boundaries 2. Generate audio for each chunk using gTTS 3. Use pydub to concatenate the chunks

Alternative: Using ffmpeg for Concatenation

If you prefer ffmpeg over pydub:

# Create file list
echo "file 'chunk1.mp3'" > files.txt
echo "file 'chunk2.mp3'" >> files.txt

Concatenate

ffmpeg -f concat -safe 0 -i files.txt -c copy output.mp3

Best Practices

  • Split at sentence boundaries to avoid cutting words mid-sentence
  • Use slow=False for natural speech speed
  • Handle network errors gracefully (gTTS requires internet)
  • Consider adding brief pauses between chapters/sections
  • Limitations

  • Requires internet connection (uses Google's servers)
  • Voice quality is good but not as natural as paid services
  • Limited voice customization options
  • May have rate limits for very heavy usage
  • πŸ“‹ Tips & Best Practices

  • Split at sentence boundaries to avoid cutting words mid-sentence
  • Use slow=False for natural speech speed
  • Handle network errors gracefully (gTTS requires internet)
  • Consider adding brief pauses between chapters/sections