Can AI fix a garbled meeting transcript, and can your tool learn your team's vocabulary?
Last updated 2026-08-17 · Confidence: documented — Granola’s, Fireflies’, and OpenAI’s docs; the Claude-cleanup practice is tried (Alejo’s, dated 2026-08-17).
Yes, on both ends: teach the transcriber your vocabulary before the call, and run the transcript through an LLM after. The two stack — the vocabulary list cuts the errors, the LLM pass fixes the rest.
Before the call: custom vocabulary
Section titled “Before the call: custom vocabulary”- Granola: under Settings → Preferences → Language you paste a comma-separated list of terms; keywords “boost recognition of terms when they are spoken”, so a product name stops transcribing as a common word. It’s recognition-only: no find-and-replace, no acronym expansion, and long phrases only match verbatim. Granola says attendee names and your own company are already handled — add external companies and people instead.
- Fireflies: a custom-vocabulary box under Personal Settings → AI Settings → Customization — “add names, acronyms, or technical terms your team uses regularly.”
After the call: an LLM cleanup pass
Section titled “After the call: an LLM cleanup pass”Alejo takes each Granola transcript and runs it through a Claude prompt that infers from context which words are garbled — in his experience it “usually does a pretty good job”, and it needs no setup in the transcription tool at all.
OpenAI documents the same pattern for its own transcription models: a post-processing pass with a text model corrects misspellings and “handle[s] longer terminology lists” than a transcriber’s prompt window (224 tokens for Whisper), with one caveat — check corrections against what was actually said, since a confident model can rewrite rather than repair.
Feeding it your team’s names
Section titled “Feeding it your team’s names”The cleanup prompt works better with the vocabulary in it. Alejo’s suggestion: harvest the list from data you already have — calendar guests, the editors of your Drive documents — via connectors, and paste it into the cleaning prompt (the same list seeds the vendor settings above).
Getting the transcript out to clean it is its own question — see Granola agent access; for what Granola captures at all, see Granola auto-transcribe.
Sources
Section titled “Sources”- Customizing transcription — docs.granola.ai
- Fireflies settings: complete overview — guide.fireflies.ai
- Speech to text guide — developers.openai.com