Wave captures interviews on your phone, your laptop, or a video call — then gives you a verbatim transcript with speaker labels and an AI summary. Quote pulls, theme extraction, and follow-up questions become a five-minute job instead of a two-hour one.
You know the quote is in there somewhere. Wave's speaker-labeled transcript and natural-language search across your interview history find it in seconds.
Generic 'Speaker 1' / 'Speaker 2' labels are useless when you've got a stack of interviews. Wave's Voice ID labels recurring subjects by name across every future interview automatically.
Good interviews need full attention — eye contact, follow-up questions, pauses. Wave records cleanly in the background so you can actually listen.
Use the iPhone or Android app for in-person interviews. Use the Phone Bridge to record an iPhone call. Use the calendar meeting bot for a Zoom, Meet, or Teams interview. Same account, same output format.
Verbatim transcripts with automatic speaker attribution, including across mixed-language interviews. Voice ID remembers recurring subjects by name.
The built-in Interview template extracts background, key quotes with attribution, themes that emerged, and follow-ups worth asking. Or customize the template to match your editorial format.
Wave Assistant searches and chats across your entire recording history — ask 'who mentioned the new pricing structure' and Wave returns the exact moments across years of interviews.
Export to Notion, Google Docs, OneNote, PDF, DOCX, or email. Generate a public share link if you want to send a verbatim transcript to a source for review.
Understand meeting recording laws across the US and abroad. Learn one-party vs two-party consent rules and how to record meetings legally.
The complete guide to recording with Wave — iPhone, Android, Apple Watch, Desktop, Chrome Extension, Meeting Bots, Phone Calls, Web App, and Import. Every way to capture, transcribe, and summarize your conversations.
Voice ID creates a mathematical fingerprint of each speaker’s voice, then automatically identifies them in every future recording — making transcripts and summaries more useful without any manual labeling.
Social Media
Use Cases
All rights reserved
Made with love in New York City