화자 식별

Automatic Speaker Identification

Our AI automatically identifies and labels different speakers in your audio. Know who said what without manual tagging - perfect for meetings, interviews, and multi-person recordings.

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Trustpilot
4.8
전 세계 10,000명 이상의 고객이 신뢰하는 기업

Consistent Speaker Labels

Each speaker is identified consistently throughout the transcript. Speaker A remains Speaker A from start to finish, making conversations easy to follow.

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AAlex (Host)BDr. Sarah ChenAAlex (Host)

Voice Print Recognition

Our AI creates unique voice profiles for each speaker. Even in long recordings with multiple speakers, each person is correctly identified.

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Speaker ASpeaker B

With vs. Without Speaker ID

featurewithoutwith heartotext
Multi-person meetingsCan't tell who said whatClear speaker attribution
인터뷰 녹취록Interviewer/subject mixed upQ&A clearly separated
Podcast editingManual speaker taggingAutomatic host/guest labels
Quote extractionAttribution unclearAccurate speaker quotes

사용 사례

Team Meetings

Know who made each point, decision, or commitment in group meetings.

Interviews & Podcasts

Clearly separate host and guest dialogue for easy editing.

Focus Groups

Track individual participant contributions in research settings.

How Speaker Identification Works

Our AI analyzes voice patterns to distinguish and label speakers throughout your recording.

단계 01

Voice Analysis

AI analyzes unique voice characteristics for each speaker.

단계 02

화자 감지

Different speakers are identified and separated.

단계 03

Label Assignment

Each speaker gets a consistent label throughout.

단계 04

Name Mapping

Easily assign real names to speaker labels.

key features

Auto-Detection

Speakers identified automatically, no setup needed.

Name Assignment

Easily map names to speaker labels.

Consistent Labels

Same speaker = same label throughout.

Multiple Speakers

Handle meetings with many participants.

Overlapping Speech

Handles when speakers talk over each other.

Export Options

Keep speaker labels in all export formats.

개인 정보 보호

데이터 보안은 저희의 최우선 과제입니다. 모든 파일은 256비트 암호화로 보호되며 처리 후 자동으로 삭제됩니다.

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고객 리뷰

사용자 의견

see how professionals are using this feature to save time and boost productivity.

Trustpilot

전사가 쉬워졌어요

이 도구가 제 워크플로우를 완전히 바꿨어요. 이제 몇 분 만에 동영상에서 블로그 글을 만들 수 있어요. 정확도가 인상적입니다!

김지연

콘텐츠 크리에이터

2주 전
G2

콘텐츠 분석에 완벽

시장 조사를 위해 매일 소셜 미디어 콘텐츠를 분석합니다. 이 도구로 매주 몇 시간을 절약합니다.

이준호

디지털 마케터

1달 전
Capterra

업무에 필수적

여러 계정 관리가 훨씬 쉬워졌어요. 전사 품질이 뛰어납니다.

박서영

소셜 미디어 매니저

3주 전
App Store

정확하고 신뢰할 수 있어요

저널리스트로서 정확한 전사본이 필요합니다. 이 도구는 매번 타임스탬프와 함께 제공합니다.

정민수

저널리스트

1주 전
Google Play

연구에 최고

소셜 미디어 학술 연구에 사용합니다. 다국어 지원이 환상적입니다.

최은비

연구원

2달 전
Trustpilot

팀을 위한 최고의 도구

우리 팀 전체가 콘텐츠 분석에 사용합니다. 강력 추천합니다!

한동욱

콘텐츠 전략가

3주 전

자주 묻는 질문

How many speakers can it identify?
Our AI can identify and track up to 10+ distinct speakers in a single recording. Accuracy is highest with 2-6 speakers.
Do I need to pre-register speakers?
No! Speaker identification is fully automatic. Simply upload your audio and speakers are detected and labeled without any setup.
How accurate is speaker identification?
We achieve 90-95% accuracy in distinguishing speakers. Accuracy is highest when speakers have distinct voices and minimal crosstalk.
Can I assign real names to speakers?
Yes! After transcription, you can easily map real names to speaker labels. Click on any "Speaker A" to assign a name that updates throughout.
What happens with overlapping speech?
Our AI handles overlapping speech by identifying the dominant speaker for each segment. Heavily overlapping sections are noted in the transcript.
Does it work with phone call recordings?
Yes! Phone recordings work well for speaker identification. The two-party nature of most calls makes speaker separation highly accurate.

Try Speaker Identification

Upload a multi-speaker recording and see automatic speaker detection in action.

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