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Scale weight ticket capture

For Bulk freight weighing document teams

Prepare vehicle, ticket date, gross, tare and net from a weight ticket with fields you can edit. Scale certification external.

25 free credits/month · No card needed

See the workflow and review checks

Inspect a document example.

Synthetic documents · Expected output
Standard documentPDF
scale weight ticket captureFictional sample · For demonstration
ticket reference
DEMO-TICKET-0042
vehicle reference
DEMO-VEHICLE-0042
weigh date
2026-09-30
weight unit
lb
gross weight
5200
tare weight
4000
printed net weight
1200
{
  "ticket_reference": "DEMO-TICKET-0042",
  "vehicle_reference": "DEMO-VEHICLE-0042",
  "weigh_date": "2026-09-30",
  "weight_unit": "lb",
  "gross_weight": 5200,
  "tare_weight": 4000,
  "printed_net_weight": 1200
}

A complete synthetic document with the visible values shown below. Real responses also include model-reported confidence, validation and result status. Test your own file with this schema.

When this work lands on your desk

A weight ticket arrives for bulk freight weighing document teams. The next step needs vehicle, ticket date, gross, tare and net, recorded under the correct document reference before the information enters your shipment or billing review system.

A scale ticket records pounds while another shipment system uses kilograms. Preserve the printed unit and do not silently convert the weight. This schema keeps the source labels and values explicit so the reviewer can resolve the issue before downstream use.

Start with the documents you already collect

  • Weight ticket PDFs
  • Scanned or photographed weight ticket pages

PDF, JPEG, PNG, TIFF, or WEBP. Send one file per extraction call; create separate schemas when the document types need different fields.

  1. Define the fields

    Open the starter schema. Edit field descriptions, mark the values your process requires, and save it in your account.

  2. Extract at intake

    Send the document and saved schema slug to POST /api/v1/extract, or collect the file through a branded upload site.

  3. Hand off reviewed data

    After checking ticket reference, vehicle reference, weigh date, your application maps the reviewed record into your shipment or billing review system. Keep the original document reference with the result. Scale certification external. Dokyumi processes one file with a saved schema; your application owns record matching, business rules and updates to other systems.

A schema shaped around the next step.

Start with these fields, then adjust them to match your documents and destination system. The example above shows the data object you are asking Dokyumi to extract.

Download editable starter schema

Choose required fields for your process. The starter schema preserves any defined nested fields; refine line-item structures and test them on representative files.

FieldTypeWhat to capture
ticket_referencestringTicket reference exactly as printed in this weight ticket. Preserve identifiers and qualifiers; do not look up or infer missing information.
vehicle_referencestringVehicle reference exactly as printed in this weight ticket. Preserve identifiers and qualifiers; do not look up or infer missing information.
weigh_datedateWeigh date explicitly printed in this weight ticket. Keep it distinct from other dates; leave it empty if no calendar date is stated.
weight_unitstringUnit printed beside the weight, kept separate from the numerical weight.
gross_weightnumberGross weight as reported in this weight ticket. Preserve the labeled measure and its unit; do not estimate it.
tare_weightnumberTare weight as reported in this weight ticket. Preserve the labeled measure and its unit; do not estimate it.
printed_net_weightnumberNet weight as printed. Do not calculate it from gross and tare in the extraction schema.

Give exceptions a clear path to review.

Dokyumi returns a model-reported confidence map, validation details, and a completed or review status for produced results. Check required fields and your business rules before passing data onward.

A completed extraction describes the extraction result. Your application and reviewers own matching, approvals, routing, and updates to other systems.

Read the response contract

Run a synthetic response through a review gate

Checks for this process

  • A scale ticket records pounds while another shipment system uses kilograms. Preserve the printed unit and do not silently convert the weight.
  • Check weigh date against their own printed labels; leave an unstated date empty instead of deriving it.
  • Resolve missing ticket reference, vehicle reference, weigh date against the source before using the record.

Prove the fit on a representative batch.

Test weight ticket examples from the layouts your team actually receives. Include the exception described here: A scale ticket records pounds while another shipment system uses kilograms. Preserve the printed unit and do not silently convert the weight. Compare the extracted ticket reference, vehicle reference, weigh date and any line rows with a reviewer's checked reference before enabling downstream actions.

Compare extracted values with a reviewer’s reference set. Record corrections, unresolved fields, review time, and credits used before connecting downstream actions.

The free plan’s credit limits apply. Assisted pilots are scoped with Dokyumi before work begins.

Expand when the next process is ready

Add recurring extraction capacity when weight ticket intake becomes routine. Reuse this field contract for layouts that express the same information; create a separate schema when the next document has different fields or review requirements.

For a tailored implementation

Discuss document volume, page lengths and schema setup for bulk freight weighing document teams. Bring difficult weight ticket samples and the review requirements your implementation must preserve.

Talk through document mix and volume

Start small. Add capacity as intake grows.

All self-service plans include the REST API, upload-site webhooks, custom confidence thresholds, and schema inference. Choose by volume, schema count, and upload sites.

Free

$0/month

  • 25 credits/month
  • 2 schemas
  • 1 branded upload site
Test this workflow

Starter

$99/month

  • 500 credits/month
  • 10 schemas
  • 5 branded upload sites
Explore Starter

Growth

$499/month

  • 3,000 credits/month
  • 50 schemas
  • 25 branded upload sites
Explore Growth

Each document uses one credit per 5 pages, rounded up. An 8-page file uses 2 credits. Self-service files can be up to 50 pages; larger files, custom-built schemas, and additional volume are quoted through Enterprise. Full pricing details

Questions about scale weight ticket capture

Which fields can I capture from a weight ticket?

The starter schema contains ticket reference, vehicle reference, weigh date, weight unit, gross weight, tare weight, printed net weight. Edit those definitions and choose your required fields before saving. Array fields include defined sub-fields so row values have a validation structure.

What needs review in scale weight ticket capture?

A scale ticket records pounds while another shipment system uses kilograms. Preserve the printed unit and do not silently convert the weight. Check the original source alongside model-reported confidence and validation output; completion status describes the extraction result, not the business decision.

How does this data reach your shipment or billing review system?

Save the schema, then send one supported PDF or image to POST /api/v1/extract with its slug. The response contains the data, model-reported confidence, validation and result status. Your application maps reviewed values to the destination; upload-site submissions can use a configured webhook. Scale certification external.

How do I test this workflow on my own documents?

Start free with 25 credits per month, 2 schemas, and 1 branded upload site. The starter schema opens in the schema builder after sign-up. Edit the fields, save it, and upload a representative file through your account or the extraction API. Account documents are stored according to Dokyumi’s privacy policy; contact hello@dokyumi.com for deletion requests and retention requirements.