Transcription
Captions (FCC/SDH)
Transcript Editing & Proofreading
Translation (text/audio/images)
Subtitles
Video Description (AD)
Built-in transcript speaker and role identification (Full Transcript)
Transcription Services
How automatic detection of participant names and roles, with optional user verification, reduces friction and accelerates transcription adoption.
Download Transcript (DOCX)
Transcription editor
CoLoop on Speaker Identification from Day 1️⃣
Added on 05/11/2026
Speakers
Add new speaker
[00:00:00] Speaker 1: One of the first things that we did when we started using Assembly, I think two or three years ago, was to build that name and role identification in, so scanning the transcript and getting an LLM basically to discover the names of participants, the names of moderators, and assign the role based on what they were doing in the conversation. We actually then gave users the option to verify whether that was true. They had to confirm if there was some ambiguity to that. But nowadays, you guys just support that out of the box, which is, I think, really, really useful and sort of makes it easier for people to adopt transcription.
AI Insights
Summary
Speaker describes an early feature their team built when adopting Assembly a few years ago: automatic name and role identification by scanning transcripts and using an LLM to detect participants/moderators and infer roles from conversation behavior. Users could verify and confirm in ambiguous cases. They note that Assembly now offers this capability out of the box, making transcription adoption easier.
Keywords
Key Takeaways
- Early implementation used an LLM to extract participant names and infer roles from transcript context.
- User verification was built in to handle ambiguous identifications.
- Assembly now provides name and role identification as an out-of-the-box feature.
- Built-in support reduces friction and helps users adopt transcription faster.
Sentiments
Enter your query
{{ secondsToHumanTime(time) }}
{{ Math.round(speed * 100) / 100 }}x
{{ secondsToHumanTime(duration) }}
New speaker
Add speaker
Edit speaker
Save changes
Share Transcript
Copy link