Shipping Label Reader
Pricing
from $10.00 / 1,000 parsed shipping labels
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Shipping Label Reader
LLM-powered reader that extracts carrier, tracking number, shipper/recipient addresses, and package details from shipping label images.
Pricing
from $10.00 / 1,000 parsed shipping labels
Rating
0.0
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Developer
Robin p
Maintained by CommunityActor stats
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2
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1
Monthly active users
6 days ago
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Read shipping/parcel label images and extract structured logistics data with an LLM — carrier, tracking number, shipper/recipient addresses, weight, and more.
What it extracts
| Field | Meaning |
|---|---|
carrier / carrierName | ups, fedex, usps, dhl, amazon, royal_mail, canada_post, australia_post, other |
serviceType | Ground, Priority, Express, etc. |
trackingNumber | Primary tracking number |
shipper / recipient | Name, company, address, city, state, postal code, country, phone |
shipDateText / estimatedDeliveryText | Dates as printed |
weightValue / weightUnit | Package weight |
referenceNumbers | PO / invoice refs |
specialHandling | Fragile, Signature Required, etc. |
confidence / reason | Extraction quality |
Non-label images can be filtered out (onlyShippingLabels, default on) so you are not billed for them.
Pricing
- $0.01 per successfully parsed shipping label (
$10.00 / 1,000 results) - Failed images and non-labels go to the errors dataset and are not billed
How to use
- Paste label image URLs (or base64 in
images) - Keep
onlyShippingLabelsenabled unless you want every image returned - Start the Actor
- Read structured labels from the Dataset
Example input
{"imageUrls": ["https://example.com/ups-label.jpg"],"onlyShippingLabels": true,"maxConcurrency": 5}
Example dataset item
{"imageId": "url-1","imageUrl": "https://example.com/ups-label.jpg","isShippingLabel": true,"carrier": "ups","carrierName": "UPS","serviceType": "Ground","trackingNumber": "1Z999AA10123456784","shipper": {"name": "Acme Supplies","addressLine1": "100 Warehouse Rd","city": "Dallas","state": "TX","postalCode": "75201","country": "USA"},"recipient": {"name": "Jane Doe","addressLine1": "42 Market St","city": "Austin","state": "TX","postalCode": "78701","country": "USA"},"weightValue": 2.4,"weightUnit": "lb","confidence": 0.94,"error": null}
Notes
- Image URLs must be publicly reachable.
- For private label photos, pass
base64instead of a URL. - Only extract what is visible on the label; missing fields are returned as null.
- LLM inference is covered by Actor configuration; Apify compute is billed by Apify.