Python提取视频文案主要涉及视频转音频和音频转文字两个过程，可借助不同的库和工具来实现： #### 使用`moviepy`和`SpeechRecognition`库 - `moviepy`用于将视频转为音频，`SpeechRecognition`用于将音频转换为文字。示例代码如下： ```python from moviepy.editor import VideoFileClip import speech_recognition as sr # 视频转音频 def video_to_audio(video_path, audio_path): video = VideoFileClip(video_path) audio = video.audio audio.write_audiofile(audio_path) audio.close() video.close() # 音频转文字 def audio_to_text(audio_path): r = sr.Recognizer() with sr.AudioFile(audio_path) as source: audio_data = r.record(source) try: text = r.recognize_google(audio_data, language='zh-CN') return text except sr.UnknownValueError: print("无法识别音频") except sr.RequestError as e: print(f"请求错误; {e}") # 主函数 def main(): video_path = 'your_video.mp4' audio_path = 'your_audio.mp3' video_to_audio(video_path, audio_path) text = audio_to_text(audio_path) print(text) if __name__ == "__main__": main() ``` #### 使用`ffmpeg`和第三方语音识别API - 视频转音频可使用`ffmpeg`，音频转文字可使用腾讯、百度、讯飞等提供的API。 ```python import os import subprocess import time # 视频转音频 video_input = "/data/video_input/" video_output = "/data/video_output/" local_file_name = 'video_' + str(time.time()) + '.mp4' local_url = video_input + local_file_name input_file = local_url file_name_without_ext, ext = os.path.splitext(local_file_name) new_file_name = file_name_without_ext + '.mp3' output_file = video_output + new_file_name command = "ffmpeg -i {input_file} -vn -acodec libmp3lame {output_file}".format(input_file=input_file, output_file=output_file) process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout, stderr = process.communicate() # 后续可调用语音转文字的接口，以百度API为例，需根据百度API文档处理音频格式要求（16k采样率、16bit位深、单声道；pcm、wav、amr格式；完整语音文件，时长不超过60s），并进行身份认证等操作 [^1][^2][^4]。 ```