This n8n workflow automates the process of transcribing videos uploaded to Google Drive using AI-powered speech recognition with VLM Run. It starts by monitoring a specified Google Drive folder for new video files, downloads these videos automatically, and then sends them to VLM Run for asynchronous transcription processing. Once the transcription is complete, a webhook receives the data, which is then stored in Google Docs as a comprehensive report including timestamps, segments, and metadata. The workflow streamlines video content accessibility, meeting documentation, and content creation, making it ideal for organizations looking to automate their video transcription and documentation tasks.
The process involves multiple nodes: a Google Drive trigger monitors for new uploads, a download node retrieves the videos, and an API node sends videos to VLM Run. The webhook node captures the transcription results asynchronously, which are then formatted and stored in Google Docs for easy access and sharing. Additional sticky notes provide clear documentation for each step, highlighting the benefits of automation, such as reducing manual effort, increasing accuracy, and ensuring reliable processing of large video files.
This workflow is practical for use cases like transcribing meetings, webinars, or training videos, enhancing content accessibility, and automating documentation workflows within digital teams.
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