How to Chat With Audio Files Using AI: A Step-by-Step Guide

To chat with audio files, a tool first turns the recording into text, then lets you ask about it in plain language — “What did the second speaker say about the budget?” or “Summarize the main decisions from this meeting” — instead of you replaying sections looking for one detail. The answer comes back grounded in what was actually said, with a pointer back to the source.

Under the hood it works the same way as chatting with a document: the transcript is split into chunks, each chunk is embedded, and your question retrieves the most relevant ones before a language model writes an answer from them. We cover the general mechanism in our RAG explainer; for audio the only difference is that the text comes from a transcript instead of a page or a slide.

1. Pick a tool that accepts audio files as a source.
2. Upload the recording and wait while it's transcribed and indexed — this takes a little longer than a text file, since the audio has to be turned into text first.
3. Ask a broad question first, like “What is this recording about?”, to get your bearings.
4. Follow up with specific questions — a number mentioned in passing, a decision, a quote from a particular speaker.
5. Add related notes or slides to the same project so a single question can draw on the recording and your other sources together.

This workflow pays off most with long audio you'd otherwise have to relisten to end-to-end: recorded lectures, team meetings, interviews, podcasts, or voice memos from a research session. Anything with clear, mostly single-speaker or well-separated speech transcribes more reliably than a noisy recording with overlapping voices, so a lecture or a one-on-one interview tends to work better than a crowded panel discussion. As with any source, check the transcript-backed answer against what was actually said before relying on it for something important.

If your source is already on YouTube, you don't need to download and re-upload the audio — paste the link directly and the transcript is fetched for you, as covered in how to chat with a YouTube video. Uploading an audio file is for recordings that only exist as audio: a lecture you recorded yourself, a meeting export, or a podcast episode saved as an mp3. Both end up as a transcript indexed the same way, so you can mix video and audio sources in one project without keeping them in separate tools.

Doxy lets you upload an audio file the same way you'd chat with a PDF or chat with any other document: add it as a source, wait for the transcript to be indexed, and start asking. Run document Q&A on a recorded lecture to check the details, or generate a quiz from it on Pro and Business plans — see how to create a quiz with AI — to test what you remember afterward.