1.Detect new file in Schedule A folder
Integrate Google Drive and file storage tools to route only qualifying PDFs to extraction for structured fee capture.
Extract schedule A fees into structured price list
Automatically monitor Schedule A PDFs in Google Drive folders across Drive, PDF processing, and financial databases. Extract fee names and rates when Schedule A identifiers appear—so you can create validated rows, update a metrics layer, and keep audit-ready records without manual parsing.
How this automation validates Schedule A fee records
When Schedule A fees stay unstructured in PDF files, manual extraction slows approvals and increases reconciliation risk. This automation converts PDFs to text and extracts fee structures, then it adds rows to a worksheet and persists records in a metrics database—so your team can trust fee data without manual parsing.
Google Driveor swap with your favorite app
2.Filters for Schedule A identifier
Integrate Filter by Zapier and workflow rules to continue only when the file name matches a Schedule A identifier.
Filter by Zapieror swap with your favorite app
3.Converts PDF to searchable text
Integrate PDF.co and OCR tools to convert PDF content into plain text for reliable parsing.
PDF.coor swap with your favorite app
4.Extracts fee names and rates
Integrate ChatGPT (OpenAI) and structured data extraction tools to pull fee names and fee rates into JSON arrays.
ChatGPT (OpenAI)or swap with your favorite app
5.Adds fee rows to worksheet
Integrate Google Sheets and spreadsheet mapping tools to add rows for fee arrays and metadata into the configured worksheet.
Google Sheetsor swap with your favorite app
6.Upserts fee records in metrics layer
Integrate PostgreSQL and database query tools to upsert fee records by account and warehouse IDs for persistence.
PostgreSQLor swap with your favorite app
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Explore all financial document analysis automations
Accelerate financial document review with automated data extraction, review routing, and record updates
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