Who spoke when?
Speaker A 08:14
Speaker B 08:27
Speaker C 08:49
The recording is divided into distinct speaker turns. Neutral labels remain appropriate until a name is confirmed.
Speaker identification
Speaker identification for meeting transcripts
Meetlens separates a conversation into speaker turns and adds an automatic speaker tag, such as Speaker A or Speaker B, with a timestamp. Review who said what, then replace generic labels with confirmed names or roles inside the meeting workspace.
The distinction
Speaker separation is not the same as knowing a person's identity
Clear terminology matters when a transcript is used as a business record.
What name belongs to the tag?
A user can assign a real name or role. A suggested name is evidence to review—not proof of identity.
Why does attribution matter?
“I'll send the revised launch plan by Friday.”
Speaker labels connect a commitment to the right transcript turn so it can be checked before becoming an action item.
How it works
From mixed conversation to a readable transcript
The output should help you verify attribution—not hide uncertainty behind a confident name.
1
CAPTURE
Record the meeting or import a file
Capture a supported browser call with the Chrome extension or import an existing recording.
2
SEPARATE
Group the audio into speaker turns
The transcription pipeline assigns neutral speaker tags to distinguish different voices and attaches timestamps to their turns.
3
REVIEW
Check tags against the recording
Background noise, similar voices, distance, and overlapping speech can affect attribution. Replay important moments before relying on a quote.
4
NAME
Replace generic labels with confirmed names
Use Manage speakers to save a person's name or role. The Timeline and transcript update immediately.
Practical use
Where speaker tags make a transcript more useful
Attribution adds context to the words—but important records still deserve human review.
Keep interviewer and participant quotes distinct
Return to the timestamp before placing a customer quotation in a research finding. The original recording remains the source of truth.
Participant14:32
“The handoff is where our process usually slows down.”
Review who made a commitment
Separate the buyer's question from the seller's follow-up before updating a CRM or sending a recap.
Preserve question-and-answer structure
Speaker-labelled turns make hiring and customer interviews easier to scan than an uninterrupted wall of text.
Connect decisions and next steps to the surrounding dialogue
Use the transcript with AI Timeline markers and a structured report format to review the context behind a decision.
Accuracy factors
Clear audio produces clearer attribution
Speaker separation is an automated draft. These recording conditions have the greatest practical effect on the result.
01Overlapping speech
Two people speaking at once can blur turn boundaries.
02Microphone distance
Quiet or distant voices are harder to distinguish.
03Background noise
Music, echo, and room noise reduce signal clarity.
04Similar voices
Always verify attribution when voices sound alike.
Platforms
Speaker-labelled transcripts from supported meetings
The same post-recording review workflow applies to supported browser calls and imported recordings.
Zoom
Google Meet
Microsoft Teams
Webex
See who said what in your next meeting
Start free and review speaker-labelled transcript turns with their timestamps.
Get started freeFAQ
Speaker identification questions
What the labels mean, how to rename them, and when to verify the result.
What is speaker identification in a transcript?
Speaker diarization separates a recording into turns and answers who spoke when. Meetlens initially represents those voices with labels such as Speaker A and Speaker B. A user can then replace a generic speaker tag with a confirmed name in the meeting workspace.
How accurate are automatic speaker labels?
Accuracy varies with microphone quality, background noise, similar voices, distance from the microphone, and people speaking at the same time. Always check important quotations, commitments, and names against the recording before sharing them.
Can I rename detected speakers?
Yes. Open Manage speakers in the meeting Timeline, replace a generic label with the confirmed name or role, and save the changes. Updated names appear in the Timeline and transcript immediately.
Does Meetlens always know a speaker's real name?
No. Separating voices is different from proving a person's identity. Meetlens may show a name suggestion when the conversation contains supporting evidence, but the suggestion remains unconfirmed until the user accepts or edits it. Otherwise the neutral Speaker A/B labels remain.
Is speaker separation included on the free plan?
Speaker-labelled transcripts are included with recordings on the Free plan, subject to its monthly and per-recording limits. Paid plans increase those limits and add other workspace capabilities.
Does it work with imported recordings?
Yes. Supported imported audio and video files use the same transcription pipeline and can produce speaker-labelled transcript turns. Results still depend on the quality of the source recording and the amount of overlapping speech.