When multiple voices fill a recording, knowing who said what separates crystal-clear action items from a fog of ambiguity. AdjiCera identifies each speaker, lets you name them, and tags every action item to an owner.
Recordings are messy. When you play back a meeting or interview, you hear multiple voices layered together. Computers can transcribe every word, but without knowing who said each word, you're left with a question every few sentences:
"We need to finalize the budget by Friday." But who? Speaker 1? Speaker 2? You still don't know.
In an interview, mixing up who asked what undermines the assessment. You need to know: was this the hiring manager or the technical lead?
You send a follow-up email days later. The transcript says "I'll handle the research," but you forgot which participant said it.
AdjiCera identifies speakers automatically, then gives you full control over who is who.
AdjiCera analyzes the audio and identifies distinct voices. Each speech segment is labeled as "Speaker 1," "Speaker 2," etc.
You rename speakers to their actual names: Sarah, Marcus, your own name. No signup. No external database. Names stay on your device.
If the audio was noisy or voices overlapped, you can reassign any segment to the correct speaker. A few clicks, and your transcript is accurate.
When AdjiCera extracts action items, each one is tagged to the speaker who said it. "Marcus Davis → Lead budget review by Friday."
Everything stays on your device by default. Speaker identification, naming, corrections — none of it touches the cloud. Your recording, your transcript, your participant list stay private, with the one exception being if you choose to use optional Prime AI features, which process transcript text you send and never store it.
No signup required. No API keys. No meeting bot joining your video call. You own your data.
Speaker diarization is the process of analyzing an audio recording to determine who said what and when. It partitions the audio into segments and assigns each segment to a speaker. AdjiCera performs this analysis on your device, without sending audio to the cloud.
Yes, completely. You can rename any speaker, reassign transcribed segments to the correct speaker, merge speakers (if the algorithm split one person into two identities), or split speakers (if it merged two people). Full manual control.
AdjiCera is optimized for 2–4 speakers in most meeting and interview scenarios. For more participants, you can manually merge or split speakers to clarify the transcript. Highly overlapped or crosstalk-heavy audio may need manual corrections, but manual merge/split controls give you full flexibility.
Download AdjiCera for free. Record your next meeting or study session and see for yourself.