OTHER
Batch-transcribe a Dropbox folder of old Zoom recordings into ReadMe
On a schedule, scans a Dropbox folder for unprocessed Zoom recording files, transcribes and chapters each one, and publishes them to ReadMe.
How it runs
The automated pipeline, trigger to output.
- TriggerNightly schedule
- ActionList unprocessed recordings in DropboxDropbox
- ActionTranscribe each recording with ElevenLabsElevenLabs
- LogicSkip clips under length threshold
- ActionChapter and title transcriptOpenAI
- OutputPublish to ReadMe and mark file doneReadMe
What it does
Works through a Dropbox folder full of previously downloaded Zoom recordings and turns each into a published ReadMe article. It tracks which files it has already handled so reruns only process new arrivals.
When to use it
When you have months of training recordings sitting in shared storage but no transcripts or docs. Run it once to clear the backlog, then leave it on a nightly schedule to absorb anything newly dropped in the folder.
How it works
- 1A scheduled trigger fires nightly.
- 2The flow lists files in the configured Dropbox folder and filters to media files not already marked done.
- 3For each new file, ElevenLabs transcribes the audio.
- 4An OpenAI step chapters the transcript and drafts a title and summary.
- 5A logic check skips recordings shorter than a set threshold to avoid publishing noise.
- 6The doc is published to ReadMe and the source file is tagged as processed in Dropbox.
Set it up
What you configure once, before turning it on.
- 1Connect DropboxFiles and folders.
- 2Connect ElevenLabsText-to-speech, voice cloning.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect ReadMeAPI docs, changelog, auth.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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