What is this audio about? Upload a recording for an AI topic map of themes and subtopics with timestamps.
Select the AI model for audio analysis. Different models may have different capabilities.
Record audio directly from your microphone
Content Topic Classifier is an AI-powered tool that categorizes audio content by main topics and subtopics, identifying primary subject matter, themes, and specific points discussed. It creates a hierarchical topic map with timing, showing when different topics are discussed throughout the content. The tool identifies the primary subject, key themes, specific subtopics, topic shifts, tangents, and recurring themes, providing detailed organization of content topics. This makes it valuable for content creators organizing material, researchers analyzing content themes, students studying topics, or anyone wanting to understand what topics are covered in audio content and when they're discussed.
Upload your audio content and the AI analyzes topics systematically. It identifies the primary subject matter and main topics discussed. Theme analysis examines key themes and how they're developed. Subtopic identification finds specific points within main topics. Topic mapping creates hierarchical organization showing main topics and subtopics. Timestamp assignment notes approximate times when topics are discussed. Topic shift detection identifies transitions between topics. The tool creates a comprehensive topic map showing main topics, subtopics, when each is discussed, how topics relate, and how content is organized. It provides detailed analysis of topic structure, making it easy to understand what's covered and when. You can specify particular topics you're interested in tracking in the notes field for more focused analysis.
Upload a podcast, lecture, meeting, or any spoken recording and the AI returns a topic map: the primary subject, the main themes, the subtopics nested under each, and approximate timestamps for where each section starts. It also flags topic shifts, tangents, and themes that keep resurfacing across the recording.
A summary compresses content; a topic classification structures it. The summarizer tells you what was said in brief. This tells you which subjects were covered, in what order, with what hierarchy and timing, without condensing the arguments. Use this to navigate or index a recording, and the summarizer to skip listening entirely.
Yes. Name the topics you care about in the notes field and the analysis tracks them specifically: where they appear, how long they hold, whether they recur. Useful when you need the one segment about pricing in a 90-minute call without scrubbing through the whole thing.
Approximate by design: they orient you to the right region of the recording rather than the exact second. Topic boundaries are genuinely fuzzy anyway, since conversations drift between subjects instead of switching cleanly. Expect timestamps good enough to jump close and scrub briefly, with more slack on longer recordings.
That's a natural fit. The hierarchical map with timestamps is most of the work of chapter markers and show notes: main topics become chapters, subtopics become the description bullets. You'll want to tighten the timestamps against your editor and rename sections in your own voice, but the structure arrives ready.
Yes, and that's where it earns its keep, since tightly structured content barely needs classifying. Meandering conversations get their hidden structure surfaced: what the actual recurring themes were, where the tangents went, and which topics kept pulling the discussion back. The map of a rambling chat is often surprisingly clarifying.
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