Agent Skills
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gtts
GitHub使用gTTS将文本转换为语音,支持多语言及语速控制。通过分块处理长文本并结合pydub或ffmpeg拼接音频,适用于有声书、播客等场景,无需API密钥但需联网。
Trigger Scenarios
需要将文本转换为音频文件
创建有声书或播客内容
进行文本到语音的转换任务
Install
npx skills add benchflow-ai/skillsbench --skill gtts -g -y
SKILL.md
Frontmatter
{
"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:
- Split text into chunks at sentence boundaries
- Generate audio for each chunk using gTTS
- 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=Falsefor 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
Version History
- 9a1f4dd Current 2026-07-24 16:37


