From PDF to Structured Data in Under 30 Seconds
Inbox Ledger reads every invoice you receive — digital PDFs, scans, photos — and returns vendor details, amounts, dates, tax, line items, and recipient information as clean, structured JSON. Per-field confidence scoring flags anything that needs a second look, so only verified data reaches your books.
Key AI Invoice Extractor Capabilities
Built-in functionality that eliminates repetitive document tasks
Schema-Enforced Structured Outputs
Extraction runs against a strict JSON schema. Every response conforms to predefined types and keys — eliminating parsing failures, missing fields, and format inconsistencies downstream.
20+ Fields per Invoice
Vendor name, invoice number, issue date, due date, currency, subtotal, tax, discount, grand total, payment terms, PO number, document kind, and full Bill To recipient — all from a single pass.
Granular Line-Item Parsing
Each line item returns description, quantity, unit price, tax rate, and line total. Multi-page invoices with 50+ line items are stitched together and cross-checked against document totals.
Per-Field Confidence Scoring
Every field carries a 0–1 confidence score. Fields below your threshold are flagged for review — so your team only intervenes where the data actually needs it.
Document Kind Classification
The engine classifies each document as an invoice, credit note, debit note, receipt, or proforma and associates it with the correct vendor record automatically.
Automatic Retry Logic
Transient failures trigger up to three automatic retries. If all attempts fail, the document is queued for manual review. You can also re-extract on demand from the dashboard.
Structured Output Fields
AI identifies and extracts data from every supported format
Vendor Record
Company name, address, tax ID, and contact details parsed from the header. Existing vendor records are matched automatically; new vendors are created on first occurrence.
Invoice Metadata
Number, issue date, due date, payment terms, PO reference, and document kind — normalized to consistent formats regardless of the source layout.
Financial Summary
Subtotal, tax, discount, and grand total in the original invoice currency (ISO 4217). Multi-currency detection resolves ambiguous symbols like $ across USD, CAD, and AUD.
Line Items
Description, quantity, unit price, tax rate, and computed line total for every row. Table layouts, grids, and free-form lists are all recognized.
Recipient (Bill To)
Company name, street address, city, postal code, and country extracted from the billing block — ready for AP matching and approval routing.
Confidence Report
A per-field confidence map that highlights exactly which values may need human verification, keeping review time to a minimum.
How It Works
From connection to first extracted invoice in under five minutes
Ingest the Document
Invoices arrive via email scan, manual upload, or forwarding address. All paths feed the same extraction pipeline — no separate workflows to maintain.
Pre-Classification Filter
A lightweight classifier separates financial documents from marketing flyers, contracts, and other attachments — so credits are spent only on real invoices.
AI Extraction
The core engine processes the document against a strict schema, returning structured JSON with 20+ fields and per-field confidence scores in under 30 seconds.
Review and Approve
High-confidence results are ready immediately. Low-confidence fields are highlighted in the dashboard for quick manual verification before export.
Who Benefits Most
Designed for finance professionals and teams managing high-volume documents
AP Teams Processing 200+ Invoices/Month
Replace manual keying with AI extraction that handles any format, vendor, or layout. Your team reviews only the flagged exceptions — everything else flows straight to your ERP.
Finance Operations Managers
Get structured, auditable data from every invoice entering the organization. Confidence scoring provides a built-in quality gate before records hit your general ledger.
Bookkeepers Managing Multiple Clients
Dozens of vendors, dozens of formats, one consistent output. The extractor normalizes everything into a single structure ready for QuickBooks, Xero, or Sheets export.
See AI Invoice Extractor in Action
Set up in under 5 minutes and let AI handle the busywork.
Frequently Asked Questions
Vendor name, address, tax ID, invoice number, issue date, due date, currency, subtotal, tax, discount, grand total, payment terms, PO number, document kind, Bill To recipient details, and every line item (description, quantity, unit price, tax rate, line total) — all as structured JSON with per-field confidence scores.
Overall field-level accuracy exceeds 99.5% on standard digital invoices. Benchmarks by field: invoice total 99.8%, dates 99.3%, vendor name 99.5%, line items 97.5%. Scanned or degraded documents may score slightly lower, which is reflected in confidence values.
Native digital PDFs, scanned PDFs, smartphone photos, and image-based PDFs. The engine handles tables, multi-column layouts, multi-page documents, and free-form designs without additional configuration.
Each extracted value receives a 0–1 confidence score. Values above your organization threshold are accepted automatically. Values below it appear flagged in the dashboard so you can verify them before export — no guesswork required.
The engine processes multi-page documents as a single unit. Line items spanning pages are consolidated, and the extracted total is cross-checked against the sum of line items to catch discrepancies early.
The system retries automatically up to three times. If all attempts fail, the document is flagged for manual review. You can also trigger re-extraction from the dashboard at any point.
One credit per successfully extracted document. Automatic retries on the same document do not consume additional credits. The pre-classification step that filters out non-financial attachments is free.
Yes. The engine processes invoices in 50+ languages — including CJK, Arabic, Cyrillic, and mixed-language documents — with no language configuration required. Detection is fully automatic.
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