Looppanel

Automatically converts audio from live meetings, interviews, and calls into text with speaker labels and timestamps. Supports direct integration with Zoom, Teams, and other meeting platforms for seamless capture without manual recording.

Enables multiple team members to highlight, tag, and add notes to transcripts in real-time without creating version conflicts. Supports synchronized editing across distributed teams with change tracking.

Provides built-in tagging and highlighting tools designed for qualitative research workflows, allowing researchers to categorize insights, themes, and quotes for later analysis and pattern identification.

Connects directly to Zoom, Teams, and other meeting platforms to automatically capture and process recordings, or allows manual upload of audio/video files for transcription and analysis.

Provides pre-built analysis frameworks and templates tailored to common UX research patterns, including user journey mapping, pain point identification, and feature request categorization.

Organizes transcripts, notes, and analysis artifacts into projects with folder structures, allowing researchers to manage multiple studies and maintain clear data hierarchies.

Analyzes multiple transcripts to identify recurring themes, patterns, and insights across interviews, surfacing common user needs and pain points at scale.

Exports transcripts, annotations, and analysis in various formats for use in external tools and workflows, though with limited flexibility compared to competitors.

Manages user roles and permissions across projects, allowing research leads to control who can view, edit, and annotate specific transcripts and projects.

Automatically identifies and labels different speakers in transcripts with speaker names or labels, making it easy to track who said what throughout an interview or meeting.