Extract Invoice Data from PDFs on Mac with AI

Q: Does this only work on text-based PDFs?

Text-based PDFs work best. If the invoice is a scan, results depend on whether the file includes an OCR text layer. If not, you may need to capture the page as an image and use a screenshot-based extraction workflow instead.

Q: Can it extract line items too, not just totals?

Yes. Ask for line items explicitly and define the columns you want, such as description, quantity, unit price, and amount. The cleaner the invoice layout, the better the structured output.

Q: How do I handle missing or inconsistent fields?

Ask Chapeta to leave blanks for missing values and flag ambiguous rows separately. That keeps the batch usable while still showing you what needs manual review.

Invoices arrive as PDFs from different vendors, with different layouts, line item formats, and naming conventions.

3 steps 3 tools 3-5 minutes per invoice, or 60+ minutes per batch

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The Problem

Invoices arrive as PDFs from different vendors, with different layouts, line item formats, and naming conventions. One puts the due date at the top right, another buries it near the footer, and a third splits taxes into three separate rows. If you need the data in a spreadsheet or accounting workflow, you end up opening each PDF, hunting for the same handful of fields, and retyping them by hand. That is slow, repetitive, and easy to get wrong.

How Chapeta Handles This

Chapeta reads invoice PDFs, extracts the fields you care about, and writes the result in a structured format like CSV or JSON. This works especially well for batches: use Glob to find the invoices, File Read to inspect each one, and File Write to save a clean output file. Instead of processing one invoice at a time, you describe the schema once and let the workflow return rows that are ready for a spreadsheet, database import, or reconciliation pass.

How to Extract Invoice Data

3 steps to get it done

1

Point Chapeta at the invoice or invoice folder

Attach a single PDF or give it a folder path if you want to process a batch. If your invoices follow a naming pattern like `invoice-*.pdf`, Chapeta can use Glob to find the right files first.
2

Define the fields and output format

Ask for exactly what you need: vendor, invoice number, issue date, due date, subtotal, tax, total, currency, line items, or payment status. Then specify CSV, JSON, markdown table, or plain text.
3

Review and save the extracted rows

Chapeta returns the structured output and can write it to a file if you want. For batches, ask it to add one row per invoice and flag any missing or ambiguous fields for manual review.

Example

You type

Find all invoice PDFs in ~/Documents/invoices/2026-03. Extract vendor name, invoice number, invoice date, due date, subtotal, tax, and total. Save the result as CSV to ~/Documents/invoices/2026-03-summary.csv.

Chapeta returns

Created: ~/Documents/invoices/2026-03-summary.csv

vendor,invoice_number,invoice_date,due_date,subtotal,tax,total
Acme Hosting,AH-2041,2026-03-01,2026-03-15,120.00,0.00,120.00
Northwind Design,NWD-881,2026-03-03,2026-03-17,2450.00,416.50,2866.50
Pixel Freight,PF-00972,2026-03-04,2026-03-19,780.00,132.60,912.60

Flagged for review:
- `vendor-invoice-final.pdf`: currency symbol missing
- `scan-441.pdf`: due date ambiguous between 04/05 and 05/04

Without Chapeta

Open one PDF after another in Preview. Copy vendor name into a spreadsheet. Copy invoice number. Copy dates. Double-check the total because taxes were separated into another box. Repeat 25 times. If one vendor changes the layout, your rhythm breaks and you start scanning the page again from scratch.

Time saved 3-5 minutes per invoice, or 60+ minutes per batch

Tools Used

File Read File Operations Reads the contents of any file on your Mac and makes it available to the AI model. Supports text files, code files, configuration files, CSVs, JSON, XML, logs, PDFs (page-by-page with offset and limit), and any other text-based format. The AI can then analyze, summarize, search, transform, or answer questions about the file content. File Write File Operations Creates new files or overwrites existing files on your Mac with AI-generated content. The AI can write code files, configuration files, documentation, scripts, data files, and any other text-based content directly to disk. No manual copy-paste needed. Glob File Operations Searches for files matching glob patterns using fd, a fast file finder. Supports wildcards like *.ts, **/*.json, src/**/test.*, and complex patterns. Respects .gitignore by default. Returns matching file paths sorted by relevance, making it fast to locate specific files or file types in large codebases.

Go Deeper

Jump into the related guide, tool, or skill when you need more depth.

FAQ

Does this only work on text-based PDFs?

Can it extract line items too, not just totals?

How do I handle missing or inconsistent fields?

Extract Invoice Data from PDFs on Mac with AI

The Problem

How Chapeta Handles This

How to Extract Invoice Data

Point Chapeta at the invoice or invoice folder

Define the fields and output format

Review and save the extracted rows

Example

Without Chapeta

Tools Used

Related Skills

Go Deeper

FAQ

Related Workflows

Try the Extract Invoice Data workflow in Chapeta

Extract Invoice Data from PDFs on Mac with AI

The Problem

How Chapeta Handles This

How to Extract Invoice Data

Point Chapeta at the invoice or invoice folder

Define the fields and output format

Review and save the extracted rows

Example

Without Chapeta

Tools Used

Related Skills

Go Deeper

Automate Boring Work with Skills

Data Analysis Skill

File Write Tool

FAQ

Related Workflows

Batch Rename Files

Compare Two Documents

Summarize a PDF

Try the Extract Invoice Data workflow in Chapeta