# Invoice line items to Excel

**Use case:** 

Reads a list of invoice or statement PDFs, rebuilds the line-item tables, and writes a downloadable Excel and CSV file. minTableRows is lowered to 2 so an invoice with a single line item is still reported as a table.

## Input

```json
{
  "fileUrl": "",
  "fileFormat": "auto",
  "pdfUrls": [
    "https://www.irs.gov/pub/irs-pdf/f1040.pdf",
    "https://www.irs.gov/pub/irs-pdf/fw9.pdf"
  ],
  "textFormat": "plain",
  "extractTables": true,
  "minTableRows": 2,
  "includePageText": false,
  "maxCharsPerPdf": 200000,
  "keep": "all",
  "keepOriginalFields": true,
  "concurrency": 3,
  "requestTimeoutSecs": 60,
  "maxDocumentMb": 50,
  "exportFormats": [
    "xlsx",
    "csv"
  ]
}
```

## Output

```json
{
  "pdfUrl": {
    "label": "PDF URL",
    "format": "link"
  },
  "extractStatus": {
    "label": "Status",
    "format": "text"
  },
  "hasTextLayer": {
    "label": "Has text layer",
    "format": "boolean"
  },
  "ocrRequired": {
    "label": "Needs OCR",
    "format": "boolean"
  },
  "pageCount": {
    "label": "Pages",
    "format": "number"
  },
  "wordCount": {
    "label": "Words",
    "format": "number"
  },
  "tableCount": {
    "label": "Tables",
    "format": "number"
  },
  "pdfTitle": {
    "label": "Title",
    "format": "text"
  },
  "pdfAuthor": {
    "label": "Author",
    "format": "text"
  },
  "pdfCreatedOn": {
    "label": "Created",
    "format": "text"
  },
  "fileSizeKb": {
    "label": "Size (KB)",
    "format": "number"
  },
  "text": {
    "label": "Text",
    "format": "text"
  },
  "tables": {
    "label": "Tables",
    "format": "array"
  },
  "statusDetail": {
    "label": "Detail",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [PDF Extractor: Bulk PDF to Text, Tables & Markdown from a CSV](https://apify.com/nerolabs/dataset-pdf-extract.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/nerolabs/dataset-pdf-extract.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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This Task's input is already configured above — use it as-is rather than inventing a new one.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/nerolabs/dataset-pdf-extract.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).