home / skills / benchflow-ai / skillsbench / gtts
This skill converts text to speech using gTTS, handling long texts by chunking and concatenating audio for audiobooks and podcasts.
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---
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
```bash
pip install gtts pydub
```
pydub is useful for manipulating and concatenating audio files.
## Basic Usage
```python
from gtts import gTTS
# Create speech
tts = gTTS(text="Hello, world!", lang='en')
# Save to file
tts.save("output.mp3")
```
## Language Options
```python
# 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
```python
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:
```bash
# 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
This skill provides Google Text-to-Speech (gTTS) integration to convert text into spoken audio files. It handles both short snippets and long documents by chunking text at sentence boundaries and producing a single concatenated MP3. Use it to create audiobooks, narration for videos, or quick voice previews without needing an API key. The implementation relies on pydub (or ffmpeg) for audio assembly and cleanup.
The skill sends text to Google's TTS endpoint via the gTTS Python library and saves each response as an MP3. For long inputs it splits text into sentence-based chunks under the character limit, generates an MP3 per chunk, then concatenates segments using pydub (or optionally ffmpeg). Temporary files are created per chunk and removed after concatenation to minimize disk use. Network errors and rate limits should be handled since gTTS uses Google servers.
Does this require an API key?
No, gTTS uses Google's public endpoint and does not require an API key.
How are long texts handled?
Text is split into sentence-based chunks under the character limit, each chunk is converted to MP3, and segments are concatenated into one file.
Can I change voice or pitch?
gTTS offers limited customization (language and tld for regional variants); advanced voice controls are not available.