Public Weighbridge Moving Ticket OCR
Extract printed ticket, vehicle, material and weight fields for empty and loaded moving-vehicle records. Keep gross, tare, net and review checks in structured JSON.
200 free credits = 100 Weighbridge Ticket scans, no credit card. Then from $5 for 500 credits, pay as you go. See pricing
Empty and loaded moving-vehicle records
Process empty and loaded tickets individually and pair them using vehicle and trip evidence. Keep a downstream subtraction separate from weights actually printed on either ticket. Operational teams often receive photos from drivers alongside orders, invoices and delivery messages. Start by identifying the actual weighing document and keeping it associated with the correct movement. A ticket number can repeat across facilities, and a familiar vehicle may carry several loads in one day. Neither field should be used alone as a global transaction key.
Keep measured evidence separate from business decisions
The weighbridge ticket endpoint returns facility, parties, job, vehicle, material, weights and timestamps when readable. Gross, tare and net retain their printed raw text, numeric value and unit, with normalized_kg for supported units. Deterministic validation is reported separately; calculated net is not a replacement for an absent printed net. Use gross, tare and net validation to inspect arithmetic, then apply the acceptance rules for your own transport or accounting workflow.
Live Demo: Weighbridge Ticket OCR Scanner
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Operational mapping
Document-specific review
Process empty and loaded tickets individually and pair them using vehicle and trip evidence. Keep a downstream subtraction separate from weights actually printed on either ticket.
Join the movement, not just the truck
Combine facility, ticket number, vehicle and available timestamps with a dispatch reference. Retain ambiguous matches in a queue instead of attaching a delivery to the first matching vehicle.
Separate units from amounts
Use normalized_kg for comparisons while retaining the printed unit and raw value. A number without an identifiable unit needs review; a fee or material code must not become a weight.
Keep extraction and settlement separate
Use printed net mass as one input to a downstream workflow. Price, grade, tax, customs clearance and operational acceptance require their own evidence and rules.
Technical Specs
- Endpoint: POST /v1/weighbridge-ticket
- Authentication: Server-side x-api-key header
- Input: Base64 image in JSON img; use a readable JPG, PNG or WebP for this example
- File size: Up to 4.5MB decoded
- Standard processing: 2 credits per scan
- Output: JSON; retain incomplete results for review
Key Features
- Scenario boundary: Process empty and loaded tickets individually and pair them using vehicle and trip evidence. Keep a downstream subtraction separate from weights actually printed on either ticket.
- Ticket identity: ticket_number and facility help identify the source; job and order references support operational joins.
- Vehicle: Keep truck, trailer, fleet and driver references in their respective fields.
- Printed weight: Retain raw, value and unit before using normalized_kg for comparison.
- Validation: Inspect needs_review and review_reasons; missing weights can be a valid feature of the document, not proof of a complete measurement set.
Extract and check a weighing ticket
Send one photographed ticket and inspect the validation object before importing it. The API checks supported weight arithmetic; it does not certify a scale or approve a shipment.
import base64
import os
import requests
with open("weight-ticket.jpg", "rb") as source:
encoded = base64.b64encode(source.read()).decode("ascii")
response = requests.post(
"https://api.structocr.com/v1/weighbridge-ticket",
headers={"x-api-key": os.environ["STRUCTOCR_API_KEY"]},
json={"img": encoded},
timeout=60,
)
response.raise_for_status()
result = response.json()
if not result.get("success"):
raise RuntimeError("Extraction was not successful; inspect the response securely")
data = result.get("data") or {}
validation = data.get("validation") or {}
needs_review = (
not data.get("is_weighbridge_ticket")
or not data.get("is_valid")
or validation.get("needs_review", True)
)
print({"needs_review": needs_review, "reasons": validation.get("review_reasons", [])})Synthetic weight-ticket response
An illustrative record, not a scan from an operator or customs authority. Printed gross minus tare matches the printed net in this example.
{
"success": true,
"data": {
"is_weighbridge_ticket": true,
"document_type": "generic_weighbridge_ticket",
"ticket_number": "EXAMPLE-1042",
"facility": {
"name": "Example Scale Facility",
"address": null,
"scale_id": "SCALE-1"
},
"parties": {
"supplier": null,
"customer": null
},
"job": {
"job_number": null,
"order_number": null
},
"vehicle": {
"registration": "EXAMPLE",
"trailer_registration": null,
"fleet_number": null,
"driver_name": null
},
"material": {
"description": "Example load",
"code": null
},
"weights": {
"gross": {
"value": 25000,
"unit": "kg",
"raw": "25000 kg",
"normalized_kg": 25000
},
"tare": {
"value": 9000,
"unit": "kg",
"raw": "9000 kg",
"normalized_kg": 9000
},
"net": {
"value": 16000,
"unit": "kg",
"raw": "16000 kg",
"normalized_kg": 16000
}
},
"weigh_in_datetime": null,
"weigh_out_datetime": null,
"fee": {
"amount": null,
"currency": null
},
"operator_name": null,
"notes": null,
"confidence": "medium",
"is_valid": true,
"validation_error": null,
"validation": {
"calculated_net_kg": 16000,
"difference_kg": 0,
"weight_check_passed": true,
"needs_review": false,
"review_reasons": []
}
}
}Frequently Asked Questions
What should I check for empty and loaded moving-vehicle records?
Process empty and loaded tickets individually and pair them using vehicle and trip evidence. Keep a downstream subtraction separate from weights actually printed on either ticket.
What if only gross weight is printed?
Keep tare and net missing. The validator can flag the incomplete weight set for review. Do not invent an empty-vehicle weight from another truck or copy a capacity rating into the ticket.
Does this certify a load or approve customs clearance?
No. It extracts printed evidence and checks supported weight arithmetic. Certification, legal limits, declarations and release decisions remain separate processes.
Can it extract axle groups or container identifiers into dedicated fields?
The current schema has gross, tare and net weight objects and truck/trailer registration fields. It has no dedicated axle-group array or container-number field. Use another extractor or a reviewed extension for those requirements.
How can I avoid counting the same load twice?
Keep each scan as an event and reconcile ticket number, facility, vehicle and time with your dispatch record. Reweighs, corrections and first/second weighings must remain distinguishable.
Explore More Weighbridge Ticket OCR Solutions
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