Scribewave

Designed for researchers, journalists, podcasters, content creators, and business teams who regularly work with recorded audio or video, Scribewave combines high-fidelity transcription with AI-powered analysis tools that transform raw transcripts into structured, actionable knowledge.

The transcription engine handles diverse audio input types and challenging recording conditions meeting recordings, interview sessions, podcast episodes, lecture recordings, and video files across a wide range of formats.

Once transcribed, the platform's synchronized playback interface highlights the text being spoken in real time, enabling users to navigate the transcript by clicking on any word to jump directly to that moment in the audio.

Text can be edited directly within the transcript interface or in a timeline view, making corrections intuitive without requiring external audio editing tools.

AI analysis features transform Scribewave from a transcription service into a knowledge extraction platform. The AI generates concise summaries and extractable highlights from any transcript, producing meeting notes, key insight lists, and structured overviews without requiring users to read every word.

Entity extraction organizes names, brands, locations, and other named entities from the transcript into a structured table a powerful feature for journalists tracking sources, researchers cataloging references, and business analysts processing competitive intelligence from recorded content.

The chat feature enables conversational interaction with transcript content, allowing users to ask specific questions about a recording and receive precise, grounded answers rather than having to search manually through lengthy text.