Equipment rental ticket intake
For Construction rental accounting teams
Prepare equipment, project, start/end dates and stated rates from a rental ticket with fields you can edit. Rental-charge calculation external.
25 free credits/month · No card needed
See the workflow and review checksInspect a document example.
Synthetic documents · Expected output- project name
- Example Community Workshop - synthetic
- supplier name
- Example Supply Company - synthetic
- rental reference
- DEMO-RENTAL-0042
- equipment description
- Example equipment description - synthetic
- rental start
- 2026-09-01
- rental end
- 2026-09-30
- stated rate
- 31.25
- rate unit
- per day
{
"project_name": "Example Community Workshop - synthetic",
"supplier_name": "Example Supply Company - synthetic",
"rental_reference": "DEMO-RENTAL-0042",
"equipment_description": "Example equipment description - synthetic",
"rental_start": "2026-09-01",
"rental_end": "2026-09-30",
"stated_rate": 31.25,
"rate_unit": "per day"
}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 rental ticket arrives for construction rental accounting teams. The next step needs equipment, project, start/end dates and stated rates, recorded under the correct document reference before the information enters your project document review register.
A rental ticket uses a weekly rate with a separate pickup date. Preserve the rate unit and dates without calculating rental charges. 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
- Rental ticket PDFs
- Scanned or photographed rental ticket pages
PDF, JPEG, PNG, TIFF, or WEBP. Send one file per extraction call; create separate schemas when the document types need different fields.
Define the fields
Open the starter schema. Edit field descriptions, mark the values your process requires, and save it in your account.
Extract at intake
Send the document and saved schema slug to
POST /api/v1/extract, or collect the file through a branded upload site.Hand off reviewed data
After checking project name, supplier name, rental reference, your application maps the reviewed record into your project document review register. Keep the original document reference with the result. Rental-charge calculation 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 schemaChoose required fields for your process. The starter schema preserves any defined nested fields; refine line-item structures and test them on representative files.
| Field | Type | What to capture |
|---|---|---|
project_name | string | Project name exactly as printed in this rental ticket. Preserve identifiers and qualifiers; do not look up or infer missing information. |
supplier_name | string | Supplier name exactly as printed in this rental ticket. Preserve identifiers and qualifiers; do not look up or infer missing information. |
rental_reference | string | Rental reference exactly as printed in this rental ticket. Preserve identifiers and qualifiers; do not look up or infer missing information. |
equipment_description | string | Equipment description exactly as printed in this rental ticket. Preserve identifiers and qualifiers; do not look up or infer missing information. |
rental_start | date | Rental start explicitly printed in this rental ticket. Keep it distinct from other dates; leave it empty if no calendar date is stated. |
rental_end | date | Rental end explicitly printed in this rental ticket. Keep it distinct from other dates; leave it empty if no calendar date is stated. |
stated_rate | currency | Rate printed in the source. Preserve its stated unit or rate basis separately. |
rate_unit | string | The printed rate basis, such as per day, week, hour or unit; do not normalize silently. |
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 contractChecks for this process
- A rental ticket uses a weekly rate with a separate pickup date. Preserve the rate unit and dates without calculating rental charges.
- Check rental start, rental end against their own printed labels; leave an unstated date empty instead of deriving it.
- Check stated rate for signs, decimal placement and stated currency before any downstream calculation or posting.
Prove the fit on a representative batch.
Test rental ticket examples from the layouts your team actually receives. Include the exception described here: A rental ticket uses a weekly rate with a separate pickup date. Preserve the rate unit and dates without calculating rental charges. Compare the extracted project name, supplier name, rental reference 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 rental 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 construction rental accounting teams. Bring difficult rental ticket samples and the review requirements your implementation must preserve.
Talk through document mix and volumeStart 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.
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 equipment rental ticket intake
Which fields can I capture from a rental ticket?
The starter schema contains project name, supplier name, rental reference, equipment description, rental start, rental end, stated rate, rate unit. 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 equipment rental ticket intake?
A rental ticket uses a weekly rate with a separate pickup date. Preserve the rate unit and dates without calculating rental charges. 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 project document review register?
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. Rental-charge calculation 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.