Free Guide for Tax Preparers & CPA Firms
A practical guide to extracting structured data from 1040 returns with AI.
How tax preparers and mortgage lenders replace manual 1040 data entry with an upload-review-export workflow.
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Manually reviewing multi-page 1040 returns line by line eats hours per client.
Clients bring prior-year returns from other preparers and someone has to re-key everything.
Amended returns mean comparing every line between the original and the 1040-X by eye.
Your team spends more time on data entry than on tax planning and advisory work.
Return volume is capped by processing capacity, not by demand.
Four steps, from document to structured data:
PDF or scan of a 1040, 1040-SR, or 1040-NR — including returns prepared in other software or by hand.
Filing status, income lines, AGI, deductions, taxable income, total tax, payments, and refund/amount owed come back as structured fields.
Confidence scores flag uncertain fields so review effort goes where it is needed.
Export JSON/CSV/Excel for import into your tax software, or pull prior-year figures side by side for planning and amendment work.
Combine automation with explicit review and source-document checks. Test representative inputs, use confidence signals, and define quality checks before you automate higher-volume work.
Convert supported 1040 returns into consistently named data for review and export.
Route uncertain fields to a person instead of treating every extracted value as equally reliable.
Evaluate the workflow with your own layouts and image-quality range before scaling.
Move from manual uploads to an integrated workflow after review rules are established.
Verify sensitive tax, legal, medical, and financial fields before downstream use.
Every extraction returns these fields as structured data with per-field confidence scores:
Extracted return data exports to CSV/Excel for tax-software import and workpapers, or flows through the REST API into your practice-management stack. Prior-year onboarding becomes an upload instead of an afternoon of typing.
The Tax Preparer’s AI Automation Playbook
A free PDF playbook covering AI extraction workflows, quality control, batch processing, and API integration for tax-document operations.
9 practical chapters covering evaluation, review, integration, and operations.
Identify where 1040 data enters, who reviews it, and where the approved result goes.
Build a test set covering common layouts, scans, photos, and known edge cases.
Upload a supported file and inspect the returned fields, structure, and confidence signals.
Set thresholds and source-document checks for fields that matter to the decision or filing.
Map reviewed JSON, CSV, or Excel fields to the destination system.
Introduce higher-volume processing only after the single-file workflow is reliable for your inputs.
Use authentication, retries, validation, and exception handling in an integrated workflow.
Confirm access, retention, deletion, and audit requirements for the data you process.
Track review outcomes, add edge cases to the test set, and revisit thresholds as layouts change.
Intake forms, processing checklists, and quality-control templates.
A consistent checklist for comparing document-parsing tools and workflow fit.
Authentication, structured output, validation, and error-handling patterns.
Filing status; Taxpayer name; Total income (Line 9); Adjusted gross income (Line 11); Taxable income; Total tax; Refund or amount owed. Each field comes back with a confidence score, and results export to JSON, CSV, or Excel.
No. The core workflow is upload, review, and export, all in the browser. Developers can additionally use the REST API and batch upload, but nothing requires code.
PDF (including scanned), PNG, JPG, and WEBP. Native PDFs, scans, and phone photos all work, with confidence scores flagging anything hard to read.
Your first 3 documents are free with no credit card. Paid plans start at $9/month, and every plan includes API access and all export formats.
No. It focuses on document intake, representative testing, confidence-based review, structured exports, API integration, and exception handling.
The early chapters use the browser-based workflow. The API section is optional and intended for teams that want a programmatic integration.
The core workflow is tool-agnostic and emphasizes evaluation criteria you can apply to document-extraction products, including this one.
Check this page for the current version as the product and recommended review practices evolve.