使用 AI 语音自动化 YouTube Shorts：每周生成 50 个视频的 Python 方法
📄 中文摘要
YouTube Shorts 的成功依赖于发布频率，频繁更新的频道比每周更新一次的频道增长更快。手动制作如此大量的视频几乎不可能，但通过使用大型语言模型（LLM）生成脚本，并利用文本转语音（TTS）API 进行配音，可以实现每周生成 50 个 Shorts 的目标。该流程包括四个主要步骤：首先，使用 Claude 生成 30 到 60 秒的脚本；其次，LeanVox 将脚本转换为音频；然后，使用 ffmpeg 将音频与库存视频合成；最后，通过 YouTube Data API v3 上传和安排视频。
📄 English Summary
Automate YouTube Shorts with AI Voice: Generate 50 Videos a Week with Python
YouTube Shorts thrives on volume, with channels posting 5-10 times a day experiencing faster growth than those posting weekly. Manual production at such a scale is impractical. However, by leveraging a large language model (LLM) to write scripts and a text-to-speech (TTS) API for voiceovers, it is possible to generate 50 Shorts weekly. The process consists of four main steps: first, Claude generates a 30-60 second script; second, LeanVox converts the script into audio; third, ffmpeg combines the audio with stock footage; and finally, the YouTube Data API v3 uploads and schedules the videos.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等