109 lines
3.0 KiB
Python
109 lines
3.0 KiB
Python
#!/usr/bin/env python3
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"""
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将SRT/VTT字幕文件清洗为干净的纯文本transcript。
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去除时间戳、序号、重复行、HTML标签，输出可直接阅读的文本。
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用法:
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python3 srt_to_transcript.py input.srt [output.txt]
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python3 srt_to_transcript.py input.vtt [output.txt]
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如果不指定输出文件，默认输出到 input_transcript.txt
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"""
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import sys
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import re
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from pathlib import Path
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def clean_srt(content: str) -> str:
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"""清洗SRT格式字幕"""
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lines = content.strip().split('\n')
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texts = []
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for line in lines:
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line = line.strip()
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# 跳过序号行（纯数字）
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if re.match(r'^\d+$', line):
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continue
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# 跳过时间戳行
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if re.match(r'\d{2}:\d{2}:\d{2}', line):
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continue
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# 跳过空行
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if not line:
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continue
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# 去除HTML标签
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line = re.sub(r'<[^>]+>', '', line)
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# 去除VTT的position标记
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line = re.sub(r'align:.*$|position:.*$', '', line).strip()
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if line:
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texts.append(line)
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# 去重（自动字幕常有连续重复行）
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deduped = []
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for text in texts:
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if not deduped or text != deduped[-1]:
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deduped.append(text)
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# 合并成段落：连续的短句合并，遇到句末标点或长停顿换行
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result = []
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current = []
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for text in deduped:
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current.append(text)
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# 如果当前累积文本够长或遇到句末标点，形成一个段落
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joined = ' '.join(current)
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if len(joined) > 200 or re.search(r'[。！？.!?]$', text):
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result.append(joined)
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current = []
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if current:
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result.append(' '.join(current))
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return '\n\n'.join(result)
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def clean_vtt(content: str) -> str:
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"""清洗VTT格式字幕（先去掉VTT头部，然后按SRT逻辑处理）"""
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# 去掉WEBVTT头部
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content = re.sub(r'^WEBVTT.*?\n\n', '', content, flags=re.DOTALL)
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# 去掉NOTE块
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content = re.sub(r'NOTE.*?\n\n', '', content, flags=re.DOTALL)
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return clean_srt(content)
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def main():
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if len(sys.argv) < 2:
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print("用法: python3 srt_to_transcript.py <input.srt|input.vtt> [output.txt]")
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sys.exit(1)
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input_path = Path(sys.argv[1])
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if not input_path.exists():
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print(f"❌ 文件不存在: {input_path}")
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sys.exit(1)
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# 默认输出文件名
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if len(sys.argv) >= 3:
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output_path = Path(sys.argv[2])
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else:
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output_path = input_path.parent / f"{input_path.stem}_transcript.txt"
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# 读取并检测格式
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content = input_path.read_text(encoding='utf-8')
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if input_path.suffix.lower() == '.vtt' or content.startswith('WEBVTT'):
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transcript = clean_vtt(content)
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else:
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transcript = clean_srt(content)
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output_path.write_text(transcript, encoding='utf-8')
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# 统计
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word_count = len(transcript)
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line_count = transcript.count('\n') + 1
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print(f"✅ 转换完成: {output_path}")
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print(f" 字数: {word_count} 段落数: {line_count}")
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if __name__ == '__main__':
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main()
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