Help lease administrators prepare the rent schedule after signing
For Lease administrators and property accounting teams
Extract explicit rent periods and lease dates into a structured draft that a lease administrator can compare with the agreement. Keep concessions and conditional language visible so property accounting receives a reviewed schedule with the right context.
25 free credits/month · No card needed
See the workflow and review checks{
"tenant_name": "Example Design Studio LLC",
"premises": "Example Office Center, Suite 204",
"lease_start_date": "2026-09-01",
"lease_end_date": "2028-08-31",
"base_rent_periods": [
{
"start_date": "2026-09-01",
"end_date": "2027-08-31",
"amount": 2400,
"frequency": "monthly"
},
{
"start_date": "2027-09-01",
"end_date": "2028-08-31",
"amount": 2472,
"frequency": "monthly"
}
],
"concession_text": "Base rent abated for September 2026, subject to stated lease conditions.",
"security_deposit": 2400
}Synthetic data, not a live extraction. Real responses also include confidence, validation, and result status.
When this work lands on your desk
A new lease or amendment arrives and the administrator needs to prepare the recurring rent schedule for property accounting.
A lease may describe base rent in a table, move the commencement date into a separate clause, and place concessions in an exhibit. Copying a single monthly figure misses later rent steps. Amendments add another review task: deciding which provisions govern belongs to the lease administrator, not the extraction model.
Start with the documents you already collect
- Lease agreement PDFs
- Lease amendments processed with their own schema
- Rent exhibits and commencement notices
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 lease administrator verifies dates and controlling documents, then prepares the final schedule in the property system. Custom integration code can map reviewed JSON; billing setup and legal interpretation 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 |
|---|---|---|
tenant_name | string | Named tenant from the supplied document. |
premises | string | Property and suite or unit description. |
lease_start_date | date | Explicit date when present; conditional commencement needs review. |
lease_end_date | date | Printed end date, without inferring an exercised option. |
base_rent_periods | array | Each stated period with amount and payment frequency. |
concession_text | string | Visible rent concession wording and conditions. |
security_deposit | currency | Deposit amount as stated; keep separate from rent. |
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
- Check rent frequency and currency before translating a period into monthly billing.
- Review conditions tied to delivery, commencement notices, concessions, or renewal options.
- Read amendments alongside the original agreement before deciding which extracted terms apply.
Prove the fit on a representative batch.
Choose a simple fixed-rent lease, a stepped-rent lease, and one with a concession. Compare the draft periods with a schedule prepared by your administrator and record omissions that require a schema change.
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 credits for recurring lease intake and schemas for amendments, commencement notices, and related property documents. Additional branded portals help separate submission channels across properties or management regions.
For a tailored implementation
Discuss long agreements, custom volume, or a large property-portal rollout when the validated workflow needs more than self-serve limits.
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 lease rent schedule preparation
Does Dokyumi calculate the final billing schedule?
It extracts stated periods, amounts, and terms. Your lease administration process resolves conditions, applies relevant amendments, and creates the billing schedule.
Can it decide whether a renewal option was exercised?
No. It can capture option wording from a supplied document, but your team must review notices and other records to establish the operative lease term.
Will it connect directly to my property management software?
There is no native connector promised by this workflow. Your developers can map the API response or configured upload-site webhook into your property system.
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.