360 Secure SkillHub
360 安全技能中心

gtts

使用 gTTS Python 库调用 Google 文本转语音服务,把文本合成为 MP3 语音,适合生成有声书或播客音频。针对超长文本,示例代码按句子边界分块(约 4500 字符),逐块生成后用 pydub 拼接,也可用 ffmpeg concat 合并。需联网,无需 API Key,音色自定义有限。

lnj22
lnj22
热度 34.93
最近更新 2026-05-11 17:43:26
分类:创作依赖:代码执行 / 第三方 API / 读写文件应用场景:故事创作 / 自动化脚本 / 文件转换

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add pg-essay-to-audiobook-gtts
Metadata
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