用于OpenAI,自动转录音频文件并生成结构化摘要,随后将结果保存至Google Drive,确保高效管理和快速访问。此工作流程通过Gmail获取用户批准,整合多种工具,简化音频处理,提高工作效率。
This workflow is ideal for:
- Content Creators: Those who frequently record audio for podcasts, interviews, or presentations and need a reliable way to transcribe and summarize their content.
- Businesses: Organizations that conduct meetings and need to document discussions and action items efficiently.
- Researchers: Individuals looking to transcribe interviews or focus group discussions for analysis.
- Educators: Teachers and trainers who record lectures and want to provide transcripts and summaries to students.
- Project Managers: Professionals who need to keep track of discussions and decisions made during meetings.
This workflow addresses the challenge of manually transcribing audio files and generating structured reports. It streamlines the process by automating:
- Audio File Detection: Automatically detects new audio files uploaded to a specific Google Drive folder.
- Transcription: Uses OpenAI's technology to transcribe audio files into readable text.
- Summarization: Generates structured JSON and Markdown reports summarizing the key points, action items, and follow-up tasks.
- Storage: Saves both the raw transcript and the generated reports directly to Google Drive, making them easily accessible.
.m4a
extension.Users can customize this workflow by:
- Changing the Folder: Modify the Google Drive folder ID in the Search Google Drive
node to target a different folder for audio files.
- Adjusting Filters: Alter the file type filter in the Filter by .m4a extension
node to include other audio formats as needed.
- Modifying Transcription Settings: Adjust the parameters in the Transcribe with OpenAI
node to fit specific needs, such as changing the transcription model.
- Editing Notification Settings: Customize the email and Telegram messages sent to users in the Send Gmail Message
and Send Telegram Message
nodes, including changing the recipient details.
- Adding More Processing Steps: Users can insert additional nodes for further processing or analysis, such as integrating with other APIs or databases.