Dictation glossary

Dictation vs transcription

Dictation vs transcription means the difference between speaking to produce editable text in a live writing workflow and converting recorded audio into a written record after the fact. Dictation serves the cursor: you talk, words appear, you keep working. Transcription serves the archive: a file, captions, or notes that describe what was said, sometimes with timestamps or speaker labels. Both use speech-to-text; they optimize for different outcomes.

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In more detail

What is Dictation vs transcription?

Dictation vs transcription shows up in product design. A dictation tool needs a fast trigger, text injection into the focused app, and cleanup that makes a sentence look sendable. A transcription tool needs long-form stability, a way to review a recording, and often export formats. Latency budgets differ: a dictation user notices a half-second wait after every sentence; a transcription user may accept minutes to process an hour of audio. Speaker diarization matters much more for a multi-person recording than for a single person drafting email.

The overlap is real. You can dictate a paragraph and also keep a local history of that utterance. You can transcribe a lecture and paste a passage into notes. Some apps try to do both. Confusion starts when a meeting product is sold as dictation, or when a dictation hotkey is expected to label speakers on a conference call. Read the job: are you writing, or are you documenting a conversation that already happened?

For writers who speak

Why it matters for dictation

Choosing the wrong category wastes money and privacy budget. If you need to write faster, you want a hotkey and an insertion path, not a bot that joins video calls. If you need a record of a room conversation, you want a recorder and a transcript, not a tool that only dumps one sentence into Slack. The speech model can look similar; the surrounding product is not.

In this product

How WhisperJot handles it

WhisperJot's primary job is dictation: a hotkey types into the focused app, with local engines by default. Meetings mode is separate, microphone-only on-device transcription for what your mic can hear — in-person conversations, lectures, and your side of a call. It does not join meetings, capture the other side's system audio, write summaries, or attach speaker labels.

Related terms

Keep reading in the glossary.

Voice dictation

Voice dictation is a way of writing in which you speak and software turns those words into editable text in an application.

Read Voice dictation →

Speech-to-text

Speech-to-text is the process of converting spoken audio into written words using a speech recognition model.

Read Speech-to-text →

Speaker diarization

Speaker diarization means labeling a recording with who spoke when, usually as anonymous speaker tags rather than legal names.

Read Speaker diarization →

Live partial transcription

Live partial transcription means showing in-progress text while audio is still being captured, instead of waiting until you stop talking to reveal a finished transcript.

Read Live partials →

Questions

Straight answers.

What is the difference between dictation and transcription?

Dictation is speaking to write in an app you already have open. Transcription is turning audio into a text record of what was said, usually after or during a longer recording. Dictation cares about the cursor, commands, and cleanup. Transcription cares about completeness, timestamps, and sometimes who spoke. Both start with speech-to-text, then diverge in interface and features.

Can one app do both dictation and transcription?

Yes, but they remain different modes. Dictation sessions are usually short and insert text immediately. Transcription sessions may run for minutes or hours and produce a document you export. Sharing an engine between the two can save memory, at the cost of not running both at once. Check whether meeting features record only the microphone or claim to join a call — those are not the same product.

Is captioning a form of transcription?

Captions are transcription aimed at viewers in real time or on a video file, with timing so words match the soundtrack. They are not dictation, because the text is not being typed into your draft. Accuracy and latency still matter, and speaker labels can help when several people talk. Treat captions as a display of speech-to-text, not as a writing tool.

One hotkey, any focused app.

Private local transcription by default, with an optional opt-in cloud engine.

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