Offline Speaker Diarization for Windows

Actively improved speaker separation

Vidrick organizes conversations into labeled speaker turns so interviews, meetings and podcasts are easier to follow. In version 4.3, updated analysis compares recurring voices across different parts of a recording, with dedicated progress reporting while speaker processing runs.

We’re continuing to refine diarization. Speaker labels still need human review before you publish or attribute important quotes, especially around overlapping speech and short replies. That final check is part of turning an automatically organized transcript into your finished work.

Your audio and video recordings are transcribed locally on your Windows PC; nothing from those recordings is uploaded to the cloud for transcription. Speaker analysis is part of that local workflow. Account setup, downloads and license checks require internet access.

Automatic or a known number of speakers?

Use Automatic speaker identification when you do not know how many people speak in the file. If you know the expected number, enter it in the speaker options. Count people who actually speak, rather than everyone who attended the event.

An expected count guides the analysis. Vidrick also tells you when the recording does not provide enough voice evidence to support that count, helping you choose the right settings and focus your review.

Built to follow voices through longer recordings

Vidrick 4.3 processes long recordings in sections and compares recurring voices across the recording. This work supports speaker matching beyond a single short excerpt while keeping processing local.

Clearer review cues help you find passages that need attention. In long-recording exports, “Uncertain speaker (review)” identifies speech that could not be confidently matched. It is a review category that may contain more than one participant, so check those passages against the audio before assigning names.

A review checklist for interviews and panels

1. Check the opening turns. Listen to each participant’s first clear contribution and compare the assigned labels.
2. Sample later sections. Confirm that returning speakers keep the appropriate labels after long gaps or changes in microphone position.
3. Listen around interruptions. Short replies and overlapping speech can be harder to assign than sustained speech.
4. Resolve uncertainty before quoting. Review names, numbers and speaker attribution together. Correct the text in the transcript editor.
5. Check the exported file. Export TXT or DOCX for written review, or SRT/VTT for subtitles, and verify the result in the tool where you will use it.

Example: a three-person discussion

For a discussion with a host and two guests, select three expected speakers or use Automatic. Vidrick analyzes the voices and organizes the transcript into speaker turns. Match the labels to each person’s opening contribution, then check returning voices and interruptions before exporting the finished conversation.

What affects the result?

Clear voices and consistent microphone placement give speaker analysis a stronger signal. Background noise, similar voices and simultaneous speech can affect the labels, so give those passages extra attention during your final review. Start with the Windows transcription workflow. For a recording in another language, also check the language selection guidance.

Try the workflow on your Windows PC

Start a seven-day Professional trial with no credit card required and no automatic charge. Use a non-sensitive sample to assess the results on your own computer.

View current plans and pricing · Updated October 5, 2026