Rental property tax worksheet intake
For Tax practice rental worksheet coordinators
Prepare property, income, expense categories and stated days of use from a client rental worksheet with fields you can edit. Deduction decisions external.
25 free credits/month · No card needed
See the workflow and review checksInspect a document example.
Synthetic documents · Expected output- client name
- Example Client - synthetic
- tax year
- 2025
- property address
- 100 Example Way, Sample City, CA 00000
- stated rental days
- 300
- stated personal days
- 0
- income rows
- [ { "category": "Rent received", "period_label": "September 2026", "description": "Example document line - original synthetic data", "amount": 12500 } ]
- expense rows
- [ { "category": "Reported repairs", "period_label": "September 2026", "description": "Example document line - original synthetic data", "amount": 1250 } ]
{
"client_name": "Example Client - synthetic",
"tax_year": 2025,
"property_address": "100 Example Way, Sample City, CA 00000",
"stated_rental_days": 300,
"stated_personal_days": 0,
"income_rows": [
{
"category": "Rent received",
"period_label": "September 2026",
"description": "Example document line - original synthetic data",
"amount": 12500
}
],
"expense_rows": [
{
"category": "Reported repairs",
"period_label": "September 2026",
"description": "Example document line - original synthetic data",
"amount": 1250
}
]
}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 client rental worksheet arrives for tax practice rental worksheet coordinators. The next step needs property, income, expense categories and stated days of use, recorded under the correct document reference before the information enters your preparer intake worksheet.
A rental worksheet separates personal-use days from vacant days. Preserve the reported categories without choosing deductible expenses. 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
- Client rental worksheet PDFs
- Scanned or photographed client rental worksheet 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 client name, tax year, property address, your application maps the reviewed record into your preparer intake worksheet. Keep the original document reference with the result. Deduction decisions 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 |
|---|---|---|
client_name | string | Client name exactly as printed in this client rental worksheet. Preserve identifiers and qualifiers; do not look up or infer missing information. |
tax_year | number | Tax year as reported in this client rental worksheet. Preserve the labeled measure and its unit; do not estimate it. |
property_address | string | Property address exactly as printed in this client rental worksheet. Preserve identifiers and qualifiers; do not look up or infer missing information. |
stated_rental_days | number | Stated rental days as reported in this client rental worksheet. Preserve the labeled measure and its unit; do not estimate it. |
stated_personal_days | number | Stated personal days as reported in this client rental worksheet. Preserve the labeled measure and its unit; do not estimate it. |
income_rows | array | Every visible income rows row in this client rental worksheet. Preserve separate rows, labels and qualifiers; do not merge entries or reconstruct missing ones. |
expense_rows | array | Every visible expense rows row in this client rental worksheet. Preserve separate rows, labels and qualifiers; do not merge entries or reconstruct missing ones. |
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 worksheet separates personal-use days from vacant days. Preserve the reported categories without choosing deductible expenses.
- Compare every income rows, expense rows row with the source, including continuation pages, separate categories and repeated table headings.
- Resolve missing client name, tax year, property address against the source before using the record.
Prove the fit on a representative batch.
Test client rental worksheet examples from the layouts your team actually receives. Include the exception described here: A rental worksheet separates personal-use days from vacant days. Preserve the reported categories without choosing deductible expenses. Compare the extracted client name, tax year, property address 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 client rental worksheet 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 tax practice rental worksheet coordinators. Bring difficult client rental worksheet 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 rental property tax worksheet intake
Which fields can I capture from a client rental worksheet?
The starter schema contains client name, tax year, property address, stated rental days, stated personal days, income rows, expense rows. 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 rental property tax worksheet intake?
A rental worksheet separates personal-use days from vacant days. Preserve the reported categories without choosing deductible expenses. 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 preparer intake worksheet?
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. Deduction decisions 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.