Process uploaded call recordings with AI
When a new file is uploaded to Dropbox, automatically upload the audio or video into Maestra to extract notes and key takeaways.
Google for Startups AcceleratorHow Knit builds this workflow
The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.
Maestra Explore Maestra →
TriggersFires when a new meeting is recorded in Maestra.
Fires when an AI-generated summary is ready in Maestra.
Fires when a meeting transcript is ready in Maestra.
Fires when a new action item is captured from a meeting in Maestra.
Uploads an audio or video file to Maestra for transcription.
Dropbox Explore Dropbox →
TriggersFires when a new file is uploaded to Dropbox.
Fires when a file in Dropbox is shared with someone new.
Fires when a folder's contents change in Dropbox.
Uploads a file to Dropbox.
Creates a new folder in Dropbox.
Shares a file from Dropbox with a link or user.
More Maestra + Dropbox workflows
See all Maestra + Dropbox integrations → · Browse the full workflow library →
Enterprise-grade security
Common questions
Can Knit build “Process uploaded call recordings with AI” between Maestra and Dropbox?
Yes — describe it in the box above and Knit's Integrations Agent researches Maestra and Dropbox's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.
How long does it take to build?
Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.
Why connect Maestra to Dropbox?
Integrating Maestra with Dropbox ensures all your call recordings, AI summaries, and meeting transcripts are automatically backed up and centralizes your documentation without manual file uploads.
Can I send pre-recorded meetings to my AI note taker from file storage?
Yes, dropping new video or audio files into a specified directory in Dropbox can automatically upload them into Maestra for AI processing and transcription.