Shipping Label Parser Setup Guide
Parse shipping labels automatically to extract tracking numbers, carrier details, and recipient addresses from logistics documents.
Before You Start
Before setting up your parser, ensure you have:
- A PerfectParser account (sign up at perfectparser.com).
- A healthy credit balance (each shipping label processed consumes 1 credit).
- A sample shipping label (PDF, PNG, or JPEG) to use during the parser setup.
Recommended Fields
We suggest configuring the following schema fields for your Shipping Label Parser to capture all essential tracking and logistics details.
| Field Name | Type | Description |
|---|---|---|
tracking_number | Text | The unique carrier tracking number (e.g. UPS, FedEx, DHL tracking ID). |
carrier | Text | The courier or shipping company (e.g., FedEx, UPS, DHL). |
sender_name | Text | The name and address of the shipper. |
recipient_name | Text | The name of the package recipient. |
recipient_address | Text | The full destination address, including street, city, state, and zip code. |
package_weight | Text | The package weight listed on the label. |
service_type | Text | The courier service level (e.g. Ground, Next Day Air, Priority Mail). |
AI Prompt (Optional)
To help the AI parser extract field values with maximum accuracy, copy and paste the following prompt instructions into the AI Prompt (Optional) field during setup:
Next Steps: Build Your Parser
Ready to build this? Follow our Create a Parser guide for step-by-step dashboard instructions to set up your schema, and then learn how to process files in Bulk Extraction.
Developer Integration
If you want to automate shipping label parsing programmatically inside your applications:
- See the Create Parser API Guide to manage your parsers programmatically.
- See the Start Extraction API Guide to submit shipping label files and retrieve extracted JSON payloads.
- See the Webhooks Reference to configure automatic webhooks that deliver extraction results to your server as soon as they are completed.
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