Build an AI audio transcription web app with these features:

1. Audio upload: Drag and drop audio files (MP3, WAV, M4A, MP4) up to 2 hours long. Support batch upload for multiple files.

2. AI transcription: Convert speech to text with high accuracy using OpenAI Whisper API or equivalent. Support 30+ languages with automatic language detection.

3. Speaker identification: Automatically detect and label different speakers (Speaker 1, Speaker 2, etc.). Let users rename speakers after transcription.

4. Timestamped transcript: Full transcript with paragraph-level timestamps. Click any paragraph to jump to that point in the audio player.

5. AI summary and key points: After transcription, generate a concise summary, list of key points, and action items extracted from the conversation.

6. Edit and correct: Inline transcript editor so users can fix errors, merge paragraphs, and add notes. Changes save automatically.

7. Export options: Export transcript as TXT, SRT (subtitles), PDF, or Markdown. Copy to clipboard for quick sharing.

8. Search and highlight: Full-text search across transcripts. Highlight and tag important sections.

9. Transcript library: Dashboard showing all transcribed files with search, filter by date, and quick preview.

10. Collaboration: Share transcript links with team members. Optional comment threads on specific transcript sections.

Use a clean, document-focused UI. The transcript editor should feel like a word processor, not a raw text dump. Audio player synced with transcript scrolling.