PDF extraction software

Extract PDF form fields and nested tables using AI

Dynamite Docs
Source → result
Source table: Forms and tablesDocument fields: Report name, account, period, reference. Table headers: Date, description, quantity, amount. Repeating rows: One object per transaction or line item. Illustrative example, not extracted customer data.SOURCE DOCUMENTSource tableDocument fieldsReport name, account,…Table headersDate, description,…Repeating rowsOne object per…Forms and tablesfx Values from your documentAOutputBKeepsCBest used for12345ExcelSheets, tables…Review and…CSVOne flat table…Imports and…JSONObjects, array…APIs and…Document fields / RowsKeep form fields and table rows…
Document fields
Report name, account, period, reference
Table headers
Date, description, quantity, amount
Keep form fields and table rows separate. Illustrative example.

Turn a PDF into fields and tables you can inspect, correct and send somewhere useful.

A PDF may contain selectable text, scanned page images, positioned table cells, or all three. Dynamite Docs reads the text layer when it is available and uses the selected vision-capable model for image-only pages. It proposes named fields and table rows rather than returning only a text transcript.

Keep the PDF beside the result, check uncertain values, and fix rows that split across page boundaries before exporting to Excel, CSV, JSON, Google Sheets, or your API.

Try your PDF. Upload a PDF in the browser. Create an account only when you want to save or export.

PDF inputs this workflow handles

  • Digital PDFs: Use the embedded text layer before calling a vision model.
  • Scanned PDFs: Read image-only pages with OCR and document layout.
  • Mixed PDFs: Handle native pages, scans and attachments in one file.
  • Multi-page tables: Join continued rows while checking repeated headers and totals.

Fields and tables stay separate

The schema follows the document. Named values remain document fields, while repeating records become table rows.

  • Document fields: Report name, account, period, reference
  • Table headers: Date, description, quantity, amount
  • Repeating rows: One object per transaction or line item
  • Dates and numbers: Normalized values for sorting and calculation
  • Source context: Original page stays available during review
  • Confidence: Field and cell signals for focused checking

From file to reviewed result

  1. 1. Inspect the PDF. Detect text, scanned pages, page count and layout before choosing the reading path.
  2. 2. Propose fields and repeating rows. The selected model identifies likely fields, table headers, and repeating rows without a coordinate template for every supplier layout.
  3. 3. Review the source. Compare uncertain cells with the original page and correct the result in place.
  4. 4. Choose an output. Download Excel, CSV or JSON, push to Sheets, or deliver reviewed data through the API.

See the source and extraction together

The workspace keeps the PDF beside the extracted fields. Corrections stay in the table and can become reusable patterns for later files with the same layout.

The actual Dynamite Docs library import menu, with upload and Google Drive options.
The actual AI processing dialog showing the searchable model list and provider filters.
A purchase order beside its extracted text in the Text Editor.
Saved results list and folders beside a historical bill of sale sample.
A purchase order beside its extracted line items in the Table Editor.
A purchase order beside the Table Editor Totals tab, showing tax and the final total.
Jobs view with two ready results and one file needing review.
The actual Export to Google Drive dialog with format, scope, file name and folder options.
Dynamite Docs data extraction panel showing structured fields beside a source PDF
A real product view of source-linked field review in Dynamite Docs.

One PDF, several useful outputs

The same reviewed result can feed a workbook, a flat file or a software integration. Choose the output after checking the structure.

OutputKeepsBest used for
ExcelSheets, tables and document fieldsReview and workbook handoff
CSVOne flat table per downloadImports and simple analysis
JSONObjects, arrays and data typesAPIs and automation
Google SheetsReviewed rows in a new tabShared operational work

A clean table still needs a document check

Confidence

Confidence signals narrow the review, but they do not prove a value is correct. Check identifiers, money, dates and required fields against the page.

Accuracy

Digital text avoids OCR character errors, yet reading order and table structure can still be ambiguous. Scans add blur, rotation, compression and handwriting risk.

Failure state

Encrypted files, damaged PDFs, missing pages and unreadable scans can fail before extraction. Unlock protected files and use the original scan where possible.

Product boundary

Dynamite Docs extracts and structures document data. It does not reproduce charts, decorative page layout or every merged cell as a visual copy.

Choose the processing path that fits the document

Anonymous and Free files stay browser-only. Paid plans add cloud storage, with deletion and retention controls described in the product policies.

Every plan can connect provider keys. Free and Hobby runs use monthly PE; Pro and Ultra runs are unlimited. Hobby, Pro and Ultra can use the signed local Ollama companion for model inference on the user's computer.

Questions about pdf extraction software

Does PDF extraction work on scanned PDFs?

Yes. Image-only pages use OCR and visual document extraction. Clear, correctly oriented scans need less correction than compressed or skewed pages.

Is PDF extraction the same as copying PDF text?

No. Copying returns reading-order text. PDF extraction identifies named fields, tables, rows and data types that can move into a spreadsheet or API.

Can I extract more than one table from a PDF?

Yes. The result can contain several tables. Review their headers, page breaks and carried totals before combining or exporting them.

How to extract tables from multi-page PDFs without losing column headers?

Dynamite Docs joins continuous table rows across page boundaries, identifies repeated page headers, and reconciles carried subtotals into one clean table without duplicate header rows.

How does document extraction handle a new PDF layout?

The selected model reads labels, nearby values, table headers, and repeated row structure from the page. Review the first result carefully, then save confirmed corrections as a pattern for later files with the same layout.

Choose the next document task

Related Workflows

Try your PDF or compare processing, storage and integration limits.

Dynamite Docs
The handoff
Source table: Forms and tablesInspect the PDF. Propose fields and repeating rows. Review the source. Choose an output. Illustrative example, not extracted customer data.FROM SOURCE FILE TO A RESULT YOU CAN USESourcetableReview workspaceForms andtables1Inspect the PDF2Propose fieldsand repeatingrows3Review the source
  1. 01Inspect the PDF
  2. 02Propose fields and repeating rows
  3. 03Review the source
  4. 04Choose an output
Keep form fields and table rows separate. Illustrative example.
Dynamite Docs
Inside the output
Source table: Forms and tablesDocument fields: Report name, account, period, reference. Table headers: Date, description, quantity, amount. Repeating rows: One object per transaction or line item. Illustrative example, not extracted customer data.Forms and tablesfx Values from your documentAOutputBKeepsCBest used for12345ExcelSheets, tables and…Review and workbook…CSVOne flat table per…Imports and simple…JSONObjects, arrays and dat…APIs and automationDocument fields / RowsEditable cells,…
Document fields
Report name, account, period, reference
Table headers
Date, description, quantity, amount
Repeating rows
One object per transaction or line item
Keep form fields and table rows separate. Illustrative example.
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