tmoroney/auto-subs

• highreadme#1

  Reposition README H1 and opening paragraph to clarify project type and license

  原因：

  当前

  # AutoSubs
  
  AutoSubs generates accurate, timestamped subtitles from any audio or video file. AI transcription runs locally — no cloud, no subscription.

  复制粘贴的修复

  复制

  # AutoSubs: Free, Local AI Subtitle Generator for Desktop
  
  AutoSubs is a **free, open-source desktop application** that generates accurate, timestamped subtitles from any audio or video file. AI transcription runs **entirely locally on your device** — no cloud, no subscription, ensuring privacy and speed. It is licensed under MIT.

  待办完成忽略
• highabout#2

  Update GitHub Description to emphasize desktop application and local processing

  原因：

  当前

  Instantly generate AI-powered subtitles on your device. Works standalone or connects to DaVinci Resolve.

  复制粘贴的修复

  复制

  AutoSubs is a free, open-source desktop application for instantly generating AI-powered subtitles entirely on your device. It works standalone or connects directly to DaVinci Resolve, with all transcription happening locally.

  待办完成忽略
• mediumcomparison#3

  Add a 'Why AutoSubs?' comparison section to the README

  原因：

  复制粘贴的修复

  复制

  ## Why AutoSubs? (Compared to Alternatives)
  
  Many subtitle tools are either cloud-based (requiring subscriptions and uploading your data) or developer libraries (requiring coding knowledge). AutoSubs stands out as a **free, open-source desktop application** that runs **entirely locally** on Windows, macOS, and Linux. This means:
  - **Privacy:** Your audio/video never leaves your device.
  - **Speed:** No internet latency for transcription.
  - **Cost-Free:** No subscriptions or API credits needed.
  - **User-Friendly:** A graphical interface for everyone, not just developers.
  - **DaVinci Resolve Integration:** Seamlessly export or use as a plugin.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How to generate accurate, timestamped subtitles locally with speaker labeling from audio files?

  你：未被推荐
  AI 推荐顺序：

  1. Whisper (openai/whisper)
  2. pyannote-audio (pyannote/pyannote-audio)
  3. whisper-diarization (linto-ai/whisper-diarization)
  4. insanely-fast-whisper (Vaibhavs10/insanely-fast-whisper)
  5. Vosk (alphacep/vosk-api)
  6. Kaldi (kaldi-asr/kaldi)
  7. Mozilla DeepSpeech (mozilla/DeepSpeech)
  8. Picovoice Rhino Speech-to-Text

  AI 推荐了 8 个替代方案，却始终没点名 tmoroney/auto-subs。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Need a tool to automatically create subtitles for DaVinci Resolve on Mac or Linux.

  你：未被推荐
  AI 推荐顺序：

  1. DaVinci Resolve's built-in Speech to Text
  2. Happy Scribe
  3. Trint
  4. Descript
  5. Otter.ai

  AI 推荐了 5 个替代方案，却始终没点名 tmoroney/auto-subs。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of tmoroney/auto-subs?

  pass
  ✓AI 明确点名了 tmoroney/auto-subs

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts tmoroney/auto-subs in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 tmoroney/auto-subs

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo tmoroney/auto-subs solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 tmoroney/auto-subs

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？