
Plaud Transcripts Corrected With Your Own Terminology Glossary
Saves ~20 min
Details
Fixes the words your transcription keeps getting wrong, by giving the pipeline your vocabulary instead of hoping a bigger model guesses right. Every speech model mangles terms it has never seen: cell line and reagent names, drug and device names, case and matter numbers, part numbers, local spelling and number conventions, team and client names. Swapping to a different model does not fix this, because none of them have your terms either. Keep a plain Google Sheet glossary of the terms that matter, each with the spelling you want and the misfires it usually comes back as ("HEK293" for "heck two ninety three"), plus any formatting rules you need enforced, such as Swiss German ss instead of eszett or 1'000.00 number style. On each run the workflow reads the glossary, pulls the transcript of every new Plaud recording, applies the corrections to the transcript first, and only then writes the summary and action items from the corrected text, so your terminology is right everywhere downstream instead of only in the raw transcript. The corrected transcript and summary land in a Google Doc, and every correction made is listed so you can see what changed and keep tuning the glossary. Unknown terms are flagged, never silently normalized into something that looks plausible.
Tools In This Workflow
Workflow Steps
- 1Get User Timezone and Date
- 2Ask for the Recording Window
- 3Read Terminology Glossary
- 4List Plaud Recordings
- 5Each New Recording
- 6Fetch Transcript
- 7Apply Glossary to Transcript
- 8Summarize From Corrected Text
- 9Write Corrected Doc
- 10Log the Run
- 11Summarize the Run
Step 1 of 11
Tool1
Get User Timezone and Date
Get the user's current local date, time, timezone and UTC offset. The requested window and every recording timestamp are resolved against this and never against the server clock.




