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Container release order capture

For Container release administration teams

Prepare container, authorized party, release reference and validity date from a release order with fields you can edit. Release authorization external.

25 free credits/month · No card needed

See the workflow and review checks

Inspect a document example.

Synthetic documents · Expected output
Standard documentPDF
container release order captureFictional sample · For demonstration
release reference
DEMO-RELEASE-0042
container number
DEMO-CONTAINER-0042
carrier name
Example Carrier - synthetic
authorized party
Example authorized party - synthetic
release date
2026-09-30
valid until
2026-11-30
terminal name
Example Terminal - synthetic
{
  "release_reference": "DEMO-RELEASE-0042",
  "container_number": "DEMO-CONTAINER-0042",
  "carrier_name": "Example Carrier - synthetic",
  "authorized_party": "Example authorized party - synthetic",
  "release_date": "2026-09-30",
  "valid_until": "2026-11-30",
  "terminal_name": "Example Terminal - synthetic"
}

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 release order arrives for container release administration teams. The next step needs container, authorized party, release reference and validity date, recorded under the correct document reference before the information enters your shipment or billing review system.

A release order expires on a specific day and names an authorized pickup party. Capture those fields without granting release authority. 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

  • Release order PDFs
  • Scanned or photographed release order 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 release reference, container number, carrier name, your application maps the reviewed record into your shipment or billing review system. Keep the original document reference with the result. Release authorization 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
release_referencestringRelease reference exactly as printed in this release order. Preserve identifiers and qualifiers; do not look up or infer missing information.
container_numberstringContainer number exactly as printed in this release order. Preserve identifiers and qualifiers; do not look up or infer missing information.
carrier_namestringCarrier name exactly as printed in this release order. Preserve identifiers and qualifiers; do not look up or infer missing information.
authorized_partystringAuthorized party exactly as printed in this release order. Preserve identifiers and qualifiers; do not look up or infer missing information.
release_datedateRelease date explicitly printed in this release order. Keep it distinct from other dates; leave it empty if no calendar date is stated.
valid_untildateValid until explicitly printed in this release order. Keep it distinct from other dates; leave it empty if no calendar date is stated.
terminal_namestringTerminal name exactly as printed in this release order. Preserve identifiers and qualifiers; do not look up or infer missing information.

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 release order expires on a specific day and names an authorized pickup party. Capture those fields without granting release authority.
  • Check release date, valid until against their own printed labels; leave an unstated date empty instead of deriving it.
  • Resolve missing release reference, container number, carrier name against the source before using the record.

Prove the fit on a representative batch.

Test release order examples from the layouts your team actually receives. Include the exception described here: A release order expires on a specific day and names an authorized pickup party. Capture those fields without granting release authority. Compare the extracted release reference, container number, carrier name 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 release order 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 container release administration teams. Bring difficult release order 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 container release order capture

Which fields can I capture from a release order?

The starter schema contains release reference, container number, carrier name, authorized party, release date, valid until, terminal name. 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 container release order capture?

A release order expires on a specific day and names an authorized pickup party. Capture those fields without granting release authority. 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. Release authorization 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.