OUTPUT DECISION GUIDE

Whole tables or chosen fields?

Start with the output you need. Both methods can use the same document, but they solve different jobs.

Choose by job, not by buzzword

Use the matrix before uploading. It separates output shape, review work, access, and cost without promising guaranteed accuracy.

DecisionPDF-to-Excel conversionAI field extraction
Primary jobKeep most detected rows and columnsReturn only named fields or records
Best starting inputA document with visible table structureInvoices, forms, statements, or irregular layouts
Typical outputA workbook that follows detected tables and sheetsNormalized rows with chosen column labels
Review focusRows, columns, merged cells, and repeated headersField mapping, missing values, and ambiguous labels
Guest accessOne PDF per day, up to 3 pages and 5 MBA limited preview after a qualifying conversion result
Full useStart with the free converterFull extraction requires an account and credits

One source, two useful results

This illustration uses the public synthetic commercial invoice. It explains output shape, not measured accuracy.

Download source PDFDownload reference workbookDownload actual conversion workbookDownload same-source output matrix

Conversion result

Preserve the detected line-item table for spreadsheet review.

Columns
Line, description, HS code, quantity, unit price, line total
Rows
Three synthetic invoice lines
Review
Check column boundaries, number formats, and every source row

AI extraction result

Request selected labels when the downstream system does not need the complete table.

Document number
FVT-CI-2026-001
Requested fields
HS code, quantity, and line total
Review
Confirm field meaning, repeated records, and missing or ambiguous values

EXISTING EXCEL COLUMN WORKFLOW

Turn the columns your team already uses into plain-language field requests.

FOVATA does not import an Excel template on this screen. Use the header names and business rules from your current workbook to define fields in the same order, then export a new workbook and review it before copying or importing data downstream.

01

Read your header row

Choose only the columns the next process actually needs.

02

Describe each field

State the source meaning, missing-value rule, and format in ordinary language.

03

Keep the same order

The exported single-value sheet follows the configured field order.

04

Review before import

Compare every row with its source before it enters another system.

PLAIN-LANGUAGE SETUP

Eight workbook columns, eight reviewable instructions

No JSON download or hidden template file is required. These are the exact kinds of natural-language instructions a user can enter and save in the signed-in workflow.

  1. 01

    Source page

    Record the PDF page that supports this row so a reviewer can return to the source.

  2. 02

    Vendor

    Use the supplier name printed as the invoice issuer; do not substitute the buyer or ship-to party.

  3. 03

    Invoice no.

    Copy the invoice identifier exactly, preserving letters, digits, spaces, and punctuation.

  4. 04

    PO no.

    Return the purchase-order reference when printed; leave it blank when the document does not provide one.

  5. 05

    Invoice date

    Use the printed invoice date and normalize it as YYYY-MM-DD only when the date is unambiguous.

  6. 06

    Due date

    Use the explicit payment due date, not a date inferred from payment terms.

  7. 07

    Currency

    Return the printed ISO currency code or symbol context; flag an ambiguous currency for review.

  8. 08

    Total

    Return the final invoice total in the stated currency, excluding subtotal and tax-only amounts.

DECLARED REFERENCE OUTPUT

Different pages, one stable Excel row shape

Select a synthetic invoice page to see how its declared reference values fit the same destination columns. This is not live or historical model output.

One declared row from the synthetic reference workbook.
Source pagePage 1
VendorNorthwind Test Supply
Invoice no.NW-260718
PO no.PO-4108
Invoice date2026-07-18
Due date2026-08-17
CurrencyUSD
Total1480.00

A matching column name is not proof that a value is correct. Missing, ambiguous, or differently formatted source values remain a human-review decision.

What neither method removes

Source quality still matters. Blurred scans, cropped tables, handwriting, and unusual reading order can degrade either result.

Review is still required. Keep the source beside the output when financial, customs, tax, or operational decisions depend on it.

Costs follow the workflow. The guest converter has published limits. Full AI extraction uses credits after sign-in.

Accuracy is not guaranteed. Review the versioned small-sample benchmark, then test your own document type and quality range.

Start with the least complex output that completes the job.

Use conversion for a reviewable workbook. Choose extraction when named fields and normalized records are the actual deliverable.