SBA borrower information intake
For Small business lending application coordinators
Prepare business identifiers, ownership and stated responses from a completed borrower information form with fields you can edit. No eligibility decision.
25 free credits/month · No card needed
See the workflow and review checksInspect a document example.
Synthetic documents · Expected output- business name
- Example Harbor Services LLC - synthetic
- applicant name
- Example Applicant - synthetic
- application date
- 2026-09-30
- requested amount
- 1250
- ownership rows
- [ { "owner_name": "Example Owner - synthetic", "ownership_percentage": 100, "ownership_type": "Example ownership type - synthetic" } ]
- stated responses
- [ { "question_reference": "DEMO-QUESTION-0042", "question_text": "Please confirm the referenced supporting document.", "response_text": "Submitted response refers to the named attachment.", "attachment_reference": "DEMO-ATTACHMENT-0042" } ]
{
"business_name": "Example Harbor Services LLC - synthetic",
"applicant_name": "Example Applicant - synthetic",
"application_date": "2026-09-30",
"requested_amount": 1250,
"ownership_rows": [
{
"owner_name": "Example Owner - synthetic",
"ownership_percentage": 100,
"ownership_type": "Example ownership type - synthetic"
}
],
"stated_responses": [
{
"question_reference": "DEMO-QUESTION-0042",
"question_text": "Please confirm the referenced supporting document.",
"response_text": "Submitted response refers to the named attachment.",
"attachment_reference": "DEMO-ATTACHMENT-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 completed borrower information form arrives for small business lending application coordinators. The next step needs business identifiers, ownership and stated responses, recorded under the correct document reference before the information enters your loan intake worksheet.
A completed application marks both an ownership percentage and an explanatory attachment reference. Retain both instead of deciding program eligibility. 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
- Completed borrower information form PDFs
- Scanned or photographed completed borrower information form 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 business name, applicant name, application date, your application maps the reviewed record into your loan intake worksheet. Keep the original document reference with the result. No eligibility decision. 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 |
|---|---|---|
business_name | string | Business name exactly as printed in this completed borrower information form. Preserve identifiers and qualifiers; do not look up or infer missing information. |
applicant_name | string | Applicant name exactly as printed in this completed borrower information form. Preserve identifiers and qualifiers; do not look up or infer missing information. |
application_date | date | Application date explicitly printed in this completed borrower information form. Keep it distinct from other dates; leave it empty if no calendar date is stated. |
requested_amount | currency | Requested amount explicitly labeled in this completed borrower information form. Preserve its sign and stated currency; do not calculate a missing amount. |
ownership_rows | array | Every visible ownership rows row in this completed borrower information form. Preserve separate rows, labels and qualifiers; do not merge entries or reconstruct missing ones. |
stated_responses | array | Every visible stated responses row in this completed borrower information form. 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 completed application marks both an ownership percentage and an explanatory attachment reference. Retain both instead of deciding program eligibility.
- Check application date against their own printed labels; leave an unstated date empty instead of deriving it.
- Check requested amount for signs, decimal placement and stated currency before any downstream calculation or posting.
- Compare every ownership rows, stated responses row with the source, including continuation pages, separate categories and repeated table headings.
Prove the fit on a representative batch.
Test completed borrower information form examples from the layouts your team actually receives. Include the exception described here: A completed application marks both an ownership percentage and an explanatory attachment reference. Retain both instead of deciding program eligibility. Compare the extracted business name, applicant name, application 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 completed borrower information form 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 small business lending application coordinators. Bring difficult completed borrower information form 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 sba borrower information intake
Which fields can I capture from a completed borrower information form?
The starter schema contains business name, applicant name, application date, requested amount, ownership rows, stated responses. 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 sba borrower information intake?
A completed application marks both an ownership percentage and an explanatory attachment reference. Retain both instead of deciding program eligibility. 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 loan 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. No eligibility decision.
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.