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
import os, requests
API = "https://api.mixpeek.com"
H = {"Authorization": f"Bearer {os.environ['MIXPEEK_API_KEY']}",
"X-Namespace": os.environ["NAMESPACE_ID"]}
# 1. a bucket, with a schema that declares the field you will send
bucket = requests.post(f"{API}/v1/buckets", headers=H, json={
"bucket_name": "audio-inputs",
"bucket_schema": {"properties": {"audio": {"type": "audio"}}},
}).json()
# 2. land the file as an object. the URL goes in data, on the blob
requests.post(f"{API}/v1/buckets/{bucket['bucket_id']}/objects", headers=H, json={
"key_prefix": "run-1",
"blobs": [{"property": "audio", "type": "audio",
"data": "https://example.com/call.mp3"}],
})
# 3. a collection over that bucket, running the extractor
collection = requests.post(f"{API}/v1/collections", headers=H, json={
"collection_name": "audio-to-keywords",
"source": {"type": "bucket", "bucket_ids": [bucket["bucket_id"]]},
"feature_extractor": {"feature_extractor_name": "multimodal_extractor", "version": "v1"},
}).json()
# 4. run extraction over the bucket
requests.post(f"{API}/v1/buckets/{bucket['bucket_id']}/batches", headers=H, json={
"collection_ids": [collection["collection_id"]],
"auto_submit": True,
})
# 5. read the output
docs = requests.get(
f"{API}/v1/collections/{collection['collection_id']}/documents", headers=H
).json()
print(docs)Use Cases
Supported Input Formats
Quick Info
Run it over a library
Mixpeek runs this conversion as a pipeline over a whole library in your object storage, with the output landing as queryable documents. It is not a single-file converter.
Frequently Asked Questions
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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.