Speaker Labels
Vorbe automatically detects and labels speakers in your transcripts. Perfect for interviews, panel discussions, depositions, or team meetings.
Welcome everyone to today's meeting...
Thanks for having me here today.
I have a question about the project...
Without clear speaker identification, transcripts quickly become confusing walls of text.
Vorbe Team
Our design philosophy
Clarity in every conversation
Conversations are rarely one voice. Interviews have questions and answers. Panel discussions involve multiple participants. Legal hearings switch between lawyers, witnesses, and judges.
Manually adding speaker names can take as long as transcribing itself, and mistakes in attribution can be costly. Vorbe solves this with automatic speaker labels.
Every speaker is identified and separated in the transcript, so you can instantly see who said what. No more guessing. No more wasted hours formatting. Just clarity, delivered automatically.
Automatically identifies and separates different voices in your recording.
How speaker labels work in transcription
When you upload a file, Vorbe automatically detects different voices and assigns speaker labels so your transcript reads like a clean script. You can rename each speaker to match your context, turning hours of manual tagging into minutes of setup.
This helps professionals keep reliable records of who said what. At Vorbe we only develop features our users actually need. No bloat.
Discover all featuresWhy speaker labels are essential
Accurate attribution becomes effortless when speakers are labeled automatically, so you never risk misquoting or misattributing. Pre-labeled transcripts save hours of manual tagging and let you focus on analysis instead of formatting.
When shared with a team, clear speaker labels remove confusion and speed up review for everyone involved.
Clear Attribution
Every quote is correctly attributed to the right person.
AES-256 Encryption
Bank-grade encryption at rest
GDPR Compliant
EU servers, full compliance
Your Data, Your Control
Never used for AI training
Always secure transcription
Speaker labels often involve sensitive material like client interviews, legal testimony, and confidential meetings. Vorbe protects every file with AES-256 encryption at rest, TLS 1.3 in transit, and GDPR-compliant servers located in the EU.
Files are permanently deleted unless you choose to keep them, and we never train on your data — ensuring your conversations remain yours alone.
Read about securityWho uses speaker labels?
Journalists
Transcribe interviews with clear attribution for accurate reporting.
Lawyers
Document depositions and testimonies with reliable speaker identification.
Academics
Research interviews and focus groups with proper attribution.
Consultants
Meeting notes and client calls with clear conversation flow.
Accuracy Benchmarks
Real performance data across different audio conditions
Interview-style audio with clear turn-taking
Board meetings, group discussions, panels
Conferences, roundtables, multi-party calls
Segments where two speakers talk simultaneously
Processing Speed
Sample Output
See how VorbeAI transcribes real-world audio
Court is now in session. Counsel, please present your opening statement.
Thank you, Your Honour. We intend to demonstrate that the contract was breached on three separate occasions.
Proceed.
I was present at the signing on the fourteenth of March.
Tips for Best Results
Click any speaker label in the editor to rename 'Speaker 1' to their real name — updates all instances
For best diarization, use separate microphone channels or headsets per speaker
Ensure speakers pause between turns — even 0.5 s of silence helps the AI distinguish voices
speakers detected per recording — with renameable labels
Ready to transcribe with clarity?
Join thousands of professionals who trust Vorbe for speaker-labeled transcriptions.