Notta, from NOTTA PTE. LTD., is an AI-powered transcription and meeting assistant for Mac that captures speech and converts it into searchable text for notes and records. The app provides live transcription in over 100 languages and file-based conversion, with high-speed processing and AI-generated summaries that extract action items and highlights. It integrates with major video conferencing platforms and syncs across devices, aimed at professionals, journalists, students, and teams who need dependable meeting documentation.

What the app does for recordings and long sessions

Notta records and turns audio into searchable text in real time and from uploaded files. It supports common audio and video formats and produces AI-driven summaries that surface key action items. The workspace supports collaborative editing, tagging, and sharing so teams can refine transcripts together. Export options include multiple document and subtitle formats to move transcripts into standard workflows.

How it handles live meetings and speaker separation

Notta can join scheduled virtual meetings using an automated bot, with explicit support for Zoom, Google Meet, and Microsoft Teams. The app identifies multiple speakers and inserts timestamps to help locate dialogue within long recordings. It accepts uploads in MP3, WAV, MP4, and MOV formats and synchronizes transcripts across desktop and mobile clients for continued editing.

Who it suits and how it fits team workflows

Notta targets professionals, researchers, students, and corporate teams that need reliable, editable transcripts. The app includes a collaborative workspace where participants can edit, tag, and share transcriptions in real time. Desktop availability covers Mac on both Intel and Apple Silicon, while the broader product family supports web and mobile access so teams can use the same transcripts across devices.

Practical choice for teams that need dependable meeting records

Notta is a pragmatic option for professionals and teams that require searchable meeting documentation, a stance supported by generally positive user reception noting transcription accuracy and summary usefulness. The developer’s focus on AI-driven productivity suggests continued refinement. Organizations should confirm whether the app’s automated workflows fit their internal archival practices before adopting it as a primary record-keeping tool.