media

Audio
Embeddings
Converter

Convert audio files into dense vector embeddings that capture spoken content, tone, and acoustic features. Use embeddings for audio search, speaker verification, and content-based recommendation.

Max file size: 2 GB

Estimated: 1-4 min per hour of audio

6 input formats

How It Works

Upload an audio file or provide a URL.

Audio is segmented into fixed or variable-length chunks.

Each chunk is processed through an audio embedding model.

Embeddings are returned as float arrays with timestamps.

Optionally, embeddings are stored in your Mixpeek namespace.

Code Examples

from mixpeek import Mixpeek

client = Mixpeek(api_key="YOUR_API_KEY")

result = client.convert(
    source="https://example.com/interview.wav",
    from_format="audio",
    to_format="embeddings",
    options={
        "chunk_duration": 30,
        "overlap": 5
    }
)

for chunk in result.embeddings:
    print(f"[{chunk.start_time}s] dim={len(chunk.vector)}")

Use Cases

Build audio similarity search across music or podcast libraries

Detect duplicate or plagiarized audio content

Create speaker embeddings for voice verification

Cluster audio content by topic or genre

Supported Input Formats

MP3

WAV

FLAC

OGG

AAC

M4A

Quick Info

Categorymedia

Max File Size2 GB

Est. Time1-4 min per hour of audio

Extractoraudio-descriptor

Try This Conversion

Get started with the Mixpeek API and convert your first file in minutes.

Frequently Asked Questions

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