Help payment administrators organize waivers before the draw review
For Construction payment administrators and subcontractor compliance coordinators
Extract the identifying details and visible terms from submitted lien waiver documents into a structured intake register. Give the reviewer the stated waiver label, covered period, amount, and exceptions without making a legal conclusion about the document.
25 free credits/month · No card needed
See the workflow and review checks{
"claimant_name": "Example Electrical Subcontractor LLC",
"project_name": "Example Community Workshop",
"hiring_party": "Example General Contractor",
"document_label": "Conditional Waiver and Release on Progress Payment",
"through_date": "2026-08-31",
"payment_amount": 18000,
"exception_text": "Retention and listed unpaid change-order items excepted as stated in the document."
}Synthetic data, not a live extraction. Real responses also include confidence, validation, and result status.
When this work lands on your desk
Subcontractors submit waiver documents with a payment package and the administrator needs to prepare the register for the upcoming draw review.
The intake queue may contain different waiver labels, progress and final forms, inconsistent project names, and exception text in small print. A filename rarely provides enough information to associate the document with the intended payment period. Copying only the amount hides the context needed for review.
Start with the documents you already collect
- Subcontractor lien waiver PDFs
- Scanned progress waiver documents
- Final waiver documents processed with an appropriate schema
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
Your administrator associates the reviewed record with the subcontractor and payment package, then routes it to the responsible reviewer. Legal sufficiency, execution requirements, payment confirmation, and release decisions remain customer-owned.
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 schemaStarter fields are optional until you choose which are required. Nested line items need a defined structure if you want validation of their individual values.
| Field | Type | What to capture |
|---|---|---|
claimant_name | string | Party named as releasing or waiving rights on the supplied form. |
project_name | string | Printed project description for customer-owned matching. |
hiring_party | string | Customer, contractor, or hiring party as labeled. |
document_label | string | Printed title, including conditional, unconditional, progress, or final wording. |
through_date | date | Stated covered-through date when supplied. |
payment_amount | currency | Amount referenced in the form, without verifying payment. |
exception_text | string | Visible exceptions or reservations; preserve wording for review. |
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
- Retain the document’s exact title instead of assuming a waiver type from its filename.
- Review exceptions and blank through dates against the source document.
- Confirm project, party, and payment associations in your own records before treating the intake item as complete.
Prove the fit on a representative batch.
Use a representative set of the waiver forms your team already accepts, including a document with exceptions and one with a missing field. Compare extracted register entries with the administrator’s manual review and record unresolved questions.
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
Paid expansion supports recurring draw-cycle volume, schemas for different document field sets, and branded upload sites for projects or subcontractor groups. Add payment application extraction to prepare more of the package for your existing review process.
For a tailored implementation
Discuss custom volume and a wider project-portal deployment when many contractors and document formats exceed self-serve scope.
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 subcontractor lien waiver intake
Does Dokyumi determine whether a waiver is legally valid?
No. It extracts visible document content. The responsible reviewer must determine legal effect, acceptable form, execution requirements, and whether the document is appropriate for the payment.
Can it authenticate signatures or confirm payment?
No. Signature authentication, identity checks, and payment confirmation require separate processes. An extracted amount or document label is not proof that payment occurred.
Can it match a waiver to the pay application?
The output can include references useful to your system. Your application or administrator performs the association and checks the period, parties, amounts, and exceptions.
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.