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Finance

Turn the invoice into data. Keep the exceptions.

Bearly extracts the fields and line items, checks visible arithmetic, and flags uncertainty before creating a downloadable spreadsheet or structured file.

Use the tool

Upload the invoice or scan

Use the full document, including continuation pages and payment details. Add any downstream schema or accounting constraints.

Upload a PDF or clear image containing the complete invoice.

Optional: list required columns, ERP names, tax treatment, or whether you need Excel, CSV, or JSON.

Your input stays in this browser through sign-in and expires after two hours. Bearly imports it into a private chat and starts the work automatically.

What it actually does

Useful before impressive.

Invoice extraction is valuable only when the awkward cases remain visible: multi-line descriptions, repeated headers, mixed currencies, tax-inclusive pricing, handwritten changes, and totals that do not add up.

Bearly creates the structured output and a review queue in the same workspace. Once approved, the data can be normalized, compared with a purchase order, categorized, or prepared for an accounting import.

Worked example

The shape of a good result.

Every result follows the material you provide. This example shows the level of specificity Bearly is aiming for.

Extraction schema

Extract one row per line item. Include vendor tax ID, PO, invoice and due dates, net, VAT, gross, currency, and source page. Do not infer missing tax codes.

Invoice record

Header

Vendor, invoice ID, PO, issue/due dates, currency, terms, and remittance details.

Line items

Eight rows with description, quantity, unit rate, net, tax, and gross amount.

Arithmetic

Line-item net plus VAT agrees with the printed total; one discount label remains ambiguous.

Files

Downloadable workbook, CSV, and structured JSON.

How it works

Three moves. One conversation.

  1. 01

    Upload the complete invoice

    Continuation pages and remittance details belong in the source.

  2. 02

    Extract and test

    Bearly structures the fields and checks visible arithmetic.

  3. 03

    Review exceptions

    Approve ambiguous rows before moving the data downstream.

Keep going

The result is not a dead end.

  • Compare the invoice with a purchase order or contract.
  • Normalize a batch into one consistent schema.
  • Prepare an accounting-system import after human review.

Worth knowing

No magic tricks.

  • Human review is required before accounting, payment, or tax use.
  • The applet does not approve or pay invoices.
  • Handwriting, damaged scans, and complex tax treatment can reduce confidence.

Ready when you are

Turn the invoice into data. Keep the exceptions.

Start the focused job now. The rest of Bearly will be there when the job becomes something larger.

Add your material