Charitable contribution receipt capture
For Tax practice donation document coordinators
Prepare donor, donee, date, amount and stated goods received from a donation receipt with fields you can edit. Deductibility external.
25 free credits/month · No card needed
See the workflow and review checksInspect a document example.
Synthetic documents · Expected output- donor name
- Example Donor - synthetic
- organization name
- Example Organization - synthetic
- contribution date
- 2026-09-30
- stated amount
- 1250
- noncash description
- Example noncash description - synthetic
- goods received text
- No goods or services are reported in exchange, as printed in the synthetic source.
- receipt reference
- DEMO-RECEIPT-0042
{
"donor_name": "Example Donor - synthetic",
"organization_name": "Example Organization - synthetic",
"contribution_date": "2026-09-30",
"stated_amount": 1250,
"noncash_description": "Example noncash description - synthetic",
"goods_received_text": "No goods or services are reported in exchange, as printed in the synthetic source.",
"receipt_reference": "DEMO-RECEIPT-0042"
}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 donation receipt arrives for tax practice donation document coordinators. The next step needs donor, donee, date, amount and stated goods received, recorded under the correct document reference before the information enters your preparer intake worksheet.
A receipt reports a noncash contribution without a value. Preserve the description and leave value blank rather than estimating deductibility. 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
- Donation receipt PDFs
- Scanned or photographed donation receipt 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 donor name, organization name, contribution date, your application maps the reviewed record into your preparer intake worksheet. Keep the original document reference with the result. Deductibility 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 |
|---|---|---|
donor_name | string | Donor name exactly as printed in this donation receipt. Preserve identifiers and qualifiers; do not look up or infer missing information. |
organization_name | string | Organization name exactly as printed in this donation receipt. Preserve identifiers and qualifiers; do not look up or infer missing information. |
contribution_date | date | Contribution date explicitly printed in this donation receipt. Keep it distinct from other dates; leave it empty if no calendar date is stated. |
stated_amount | currency | Stated amount explicitly labeled in this donation receipt. Preserve its sign and stated currency; do not calculate a missing amount. |
noncash_description | string | Noncash description exactly as printed in this donation receipt. Preserve identifiers and qualifiers; do not look up or infer missing information. |
goods_received_text | string | Goods received text exactly as printed in this donation receipt. Preserve identifiers and qualifiers; do not look up or infer missing information. |
receipt_reference | string | Receipt reference exactly as printed in this donation receipt. 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 contractChecks for this process
- A receipt reports a noncash contribution without a value. Preserve the description and leave value blank rather than estimating deductibility.
- Check contribution date against their own printed labels; leave an unstated date empty instead of deriving it.
- Check stated amount for signs, decimal placement and stated currency before any downstream calculation or posting.
Prove the fit on a representative batch.
Test donation receipt examples from the layouts your team actually receives. Include the exception described here: A receipt reports a noncash contribution without a value. Preserve the description and leave value blank rather than estimating deductibility. Compare the extracted donor name, organization name, contribution date 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 donation receipt 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 donation document coordinators. Bring difficult donation receipt 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 charitable contribution receipt capture
Which fields can I capture from a donation receipt?
The starter schema contains donor name, organization name, contribution date, stated amount, noncash description, goods received text, receipt reference. 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 charitable contribution receipt capture?
A receipt reports a noncash contribution without a value. Preserve the description and leave value blank rather than estimating deductibility. 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. Deductibility 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.