Many recorded interview transcripts merge all spoken lines into a single block of text. This makes it impossible to separate questions from responses, or track which participant said what at a specific point in the conversation.
The most common workflow failure happens when users finish a long interview and realize the transcript does not carry speaker labels. They end up manually scrolling back through hours of audio just to assign names to paragraphs of text.
Step-by-step operation
Meetingminutes Open the app and tap the import button. Select your interview audio file from local storage. The system will begin processing the recording immediately.
Wait for the full transcription process to complete. A speaker label panel will appear on the side of the screen once processing finishes.
Click any speaker label in the sidebar. The main text area will refresh and display only lines attributed to that selected speaker. You can also select two or more speaker labels at the same time. The transcript will then show all content from those chosen participants side by side.
Tap the export icon at the top corner. Select plain text format with speaker identifiers embedded. The exported file will retain all speaker separation information without additional manual formatting.
Performance boundary
Standard quiet interview environments deliver speaker identification accuracy around 94 percent. Cross-talk segments may cause occasional speaker label drift. The system supports up to 12 distinct speaker identifiers in one single recording session.
Offline stored interview files keep all existing speaker separation data intact. No internet connection is required to view or filter speaker content after the initial transcription finishes.
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