ImageMetadataConverter
Extract comprehensive technical and semantic metadata from images. Returns EXIF data, camera settings, GPS coordinates, and AI-generated semantic tags including detected objects, scene type, dominant colors, and content categories.
How It Works
Upload an image or provide a URL to the Mixpeek API.
EXIF, IPTC, and XMP metadata are parsed from the image file headers.
A vision model analyzes the image to generate semantic tags and categories.
Dominant colors, objects, scene type, and quality metrics are extracted.
All metadata is returned in a unified JSON structure with technical and semantic sections.
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": "image-inputs",
"bucket_schema": {"properties": {"image": {"type": "image"}}},
}).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": "image", "type": "image",
"data": "https://example.com/photo.jpg"}],
})
# 3. a collection over that bucket, running the extractor
collection = requests.post(f"{API}/v1/collections", headers=H, json={
"collection_name": "image-to-metadata",
"source": {"type": "bucket", "bucket_ids": [bucket["bucket_id"]]},
"feature_extractor": {"feature_extractor_name": "image_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 image to metadata?
Start using the Mixpeek Image to Metadata in minutes. Sign up for a free API key and follow the documentation to get started.