Translate Multi Speaker Videos Instantly
Accurately detect, differentiate, and translate more than 150 voices while preserving the individuality of each speaker. Our AI-powered Speaker Diarization guarantees that all speakers' personalities and tones remain authentic.
Why do you need this?
Simplified Speaker Attribution
Multi-speaker detection ensures accurate speaker labeling, which is essential for industries like news, podcasts, and corporate meetings where clear speaker identification adds credibility and clarity.
Efficient Workflow for Multi-speaker Content
Translating videos with multiple speakers can be time-consuming without diarization. This feature automates speaker separation, speeding up workflows for content creators and editors.
Consistent Quality Across Multiple Languages
By preserving the individuality of each speaker, the translated content maintains its original quality, ensuring consistent messaging across all language versions.
How does it work?
Add Video
Upload a video of any language with multiple speakers you want to translate.
Speaker Diarization:
Toggle on multi-speaker detection button to identify all speakers in the video.
Select AI Voices:
Map and choose your favourite AI voice 150+ voice library.
Export & Share
Choose video quality and resolution to export the video.
Use cases of Multi-speaker Detection with Speaker Diarization
News/Media
Accurately distinguish and transcribe voices in interviews, panel discussions, and press briefings for seamless reporting.
Advertising
Analyze and attribute speaker interactions in focus groups and ad campaigns for better audience insights.
Podcasts
Effortlessly separate and label speakers for clean editing and precise transcription of multi-host or guest episodes.
Entertainment
Isolate character dialogues or live performances for improved editing, dubbing, and subtitling workflows.