Extract insights from PDF documents

The insight in a PDF is usually locked inside a table or buried in a clause. PDFStream AI lifts both out — labelled key values, tables with their columns preserved, and a written read on what the document shows.

  • Labelled key values: dates, names, addresses, amounts
  • Multi-page tables exported as CSV
  • Structured JSON for imports and integrations
  • Recommendations and notable changes highlighted
  • Full processing history per document

From document to dataset

Each processed file produces a JSON structure with the document type, key values, tables and summary. That output is stable enough to feed a bookkeeping import, a contract register or your own analysis notebook.

Tables that survive the trip

Multi-page tables are reassembled with their headers, so a statement or results table exports to CSV in a shape a spreadsheet actually understands.

Traceable results

Every export carries the document ID and a timestamp, and every processing run is logged with its duration and outcome, so a number can always be traced back to the file it came from.

Questions

Can I get the output as JSON?

Yes. Every document has a JSON view and a JSON export stamped with the document ID and export time.

Does it handle bank statements and reports?

Yes — those are among the most common uses, and multi-page tables stay intact.

Is there an upload limit?

Files are limited to 20 MB each, and the Free plan covers 10 documents a month. Pro removes the monthly limit.

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