Automate Tax Document Gathering for Your Clients

Most accounting firms rely on a patchwork of tools for tax document collection. You use QuickBooks Online for the ledger, but it doesn't contain the source documents. An accountant still needs to chase clients for loan statements, asset purchase receipts, and 1099s that live outside QBO. The software shows a transaction happened but lacks the PDF receipt required for audit proof.

To solve this, firms adopt client portals like Canopy or Liscio. These are secure file upload systems, not collection systems. They shift the work to the client, who is often late, disorganized, or uploads the wrong files. These portals are digital filing cabinets that still require your team to manually open, review, and categorize every single PDF and JPEG the client dumps in there.

A typical scenario involves a construction client. Your staff needs their Q4 P&L from QBO, W-2s from Gusto, a PDF of a new truck loan from the client's bank portal, and receipts for all materials over $500. This requires four separate logins and a long email chain. The client inevitably emails 15 unsorted photos of receipts from their phone. Your junior staff then spends 3 hours per client just organizing these files before any real tax work begins.

The structural problem is that these tools are built for human-in-the-loop workflows. They assume a person will log in, find a document, download it, and manually reconcile it. Their architecture is not designed for autonomous, machine-to-machine communication or for extracting structured data from unstructured sources like loan agreements or vendor invoices.

The first step is an audit of your clients' most common data sources. Syntora would map out the top 5-10 systems, like QuickBooks Online, Gusto, Chase Bank, and American Express. We identify the information needed for a standard tax return and determine the best way to access each source: a documented API, a data aggregator like Plaid, or browser automation for portals that lack an API. This audit produces a clear technical plan.

The technical approach uses a central FastAPI service to run the collection agent. For platforms with APIs, the system uses httpx for asynchronous calls to pull data efficiently. Based on our experience building a PostgreSQL double-entry ledger, we would structure the collected data in a Supabase database for easy querying. For unstructured documents, the agent would use the Claude API to perform optical character recognition and data extraction, pulling key figures from a 10-page PDF in under 5 seconds.

The delivered system is a simple dashboard, deployed on Vercel, that shows the collection status for each client. It flags missing documents and presents extracted data for your review before it gets used in tax software. The collection jobs run on AWS Lambda, processing a client's accounts in under 60 seconds. You receive the full source code and control the entire system in your own cloud environment, ensuring complete data privacy.