AudioKeywordsConverter
Extract semantically relevant keywords and key phrases from audio recordings. Transcribes speech, identifies salient terms using NLP, and ranks them by relevance and frequency. Ideal for content tagging, topic detection, and search optimization.
How It Works
Upload an audio file or provide a URL to the Mixpeek API.
The audio is transcribed using a large speech model with punctuation restoration.
Named entity recognition identifies people, organizations, locations, and domain-specific terms.
Key phrase extraction ranks multi-word expressions by relevance and frequency.
Keywords are returned with scores, categories, and occurrence counts.
Code Examples
from mixpeek import Mixpeekclient = Mixpeek(api_key="YOUR_API_KEY")result = client.convert(source="https://example.com/podcast-episode.mp3",from_format="audio",to_format="keywords",options={"max_keywords": 20,"include_phrases": True,"include_entities": True,"vocabulary_boost": ["Mixpeek", "RAG", "vector search"]})for kw in result.keywords:print(f"{kw.term} (score: {kw.score:.2f}, count: {kw.count})")
Use Cases
Supported Input Formats
Quick Info
Try This Conversion
Get started with the Mixpeek API and convert your first file in minutes.
Frequently Asked Questions
Related Converters
Video to Text
Extract spoken dialogue, on-screen text, and scene descriptions from video files using multimodal AI. Produces time-stamped transcripts with speaker diarization and OCR-detected overlays.
Audio to Text
Transcribe audio files into text with high accuracy. Supports speaker diarization, punctuation restoration, timestamps, and over 50 languages. Handles podcasts, calls, meetings, and broadcast audio.
Audio to Summary
Generate concise summaries from audio recordings by transcribing speech and synthesizing key points. Supports meeting minutes, podcast summaries, and interview highlights with configurable length and format.
Audio to Chapters
Automatically segment audio recordings into topic-based chapters with titles, timestamps, and summaries. Uses speech transcription combined with topic modeling to detect natural topic boundaries in podcasts, lectures, meetings, and audiobooks.
Ready to convert audio to keywords?
Start using the Mixpeek Audio to Keywords in minutes. Sign up for a free API key and follow the documentation to get started.
