Pro / PDF extraction

A document full of possibilities.

Pull the pieces you need out of a document. Recover text, export detected tables, collect embedded images, or start with candidate invoice fields.

Start with
PDF
Make it
Text · spreadsheets · images · JSON
Useful for
Research, reporting and reviewing invoice data.

How to use PDF extraction

  1. Choose the extraction tool that matches your task and select a PDF.
  2. Confirm the upload and let Dropshift inspect the document.
  3. Download the extracted content. Multiple tables or images are packaged as ZIP files for easier handling.

A few useful details

Each extraction mode targets a different part of a PDF. Tables are inferred from page layout; images depend on how the file stores its artwork; invoice fields are rule-based candidates rather than verified financial records.

What to know first

Check invoice fields and totals against the source. Not every visible illustration is stored as an extractable image, and complex tables can require cleanup.

Pro uploads are limited to 50 MB per file and 50 PDF pages. OCR, including automatic OCR during conversion, is limited to 20 pages. Each successful file uses one operation. Review the current plan allowance before processing a batch.

Answers for this task

Can I extract invoice details from a PDF?

The invoice tool returns candidate fields and source text as JSON for review. It is not verified bookkeeping, and it does not directly create an accounting-ready Excel file.

Common questions

Is invoice extraction fully automatic bookkeeping?

No. It returns candidate fields and source text to help with review. You must check the values before using them.

Why are multiple results in a ZIP?

An archive keeps related tables or images together and avoids multiple separate downloads.

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