Custom dictionary
Teach the transcriber the proper nouns and jargon you use, so names and technical terms come out spelled correctly.
Storage
One JSON file per word
Sent to Whisper
Up to 100 terms
Scope
Transcription prompt only
Why a dictionary helps
Whisper transcribes phonetically and will guess at unfamiliar names. Dictionary terms are folded into the transcription prompt as preferred spellings, nudging the model toward the right form for proper nouns and domain vocabulary — product names, people, libraries, acronyms.
Adding and removing terms
- Add a word or short phrase from the Dictionary screen. Each entry is saved as its own JSON file with an id and timestamp.
- Duplicate entries are detected and skipped.
- Delete a term at any time; it stops influencing new recordings.
- The first 100 non-empty terms are included in the transcription prompt for each recording.
The hallucination guard
A known failure mode of prompt-based biasing is that the model echoes your dictionary terms even when you didn't say them. VoiceFlow watches for this: if a short transcript is made up almost entirely of dictionary tokens, it is flagged as a likely hallucination in the logs. The two-pass transcription strategy also penalizes dictionary-heavy output when scoring candidates.