Parserdata

Introduction to Parserdata

Parserdata is an AI-driven financial data extractor designed to convert invoices, receipts, and bank statements into structured datasets. It supports common document formats, including scanned PDFs and images, and outputs normalized data ready for Excel or JSON workflows.

The tool targets finance, accounting, and operations teams that need consistent, audit-friendly data for bookkeeping, reporting, and accounts payable processes. Parserdata removes the need for manual templates and repetitive copy/paste by combining automated field detection with optional manual field selection for precise control.

Key Takeaways

• Extracts key fields such as invoice number, date, vendor/customer, totals, taxes/VAT, currency, and payment terms
• Captures line items (e.g., description, quantity, unit price) when available
• Supports PDFs and images (PDF, JPG, PNG, WEBP) and handles scanned documents with OCR
• Works across multi-page files and mixed layouts without template setup
• Two modes: automatic AI detection or manual field definition for custom extraction
• Exports normalized, audit-friendly data to Excel (.xlsx); JSON export is also supported
• Suitable for bookkeeping, audits, AP automation, and reporting workflows
• Credit-based pricing with a free tier for evaluation

How Parserdata Works

Users upload documents—such as invoices, receipts, or bank statements—in formats like PDF, JPG, PNG, or WEBP. The system applies OCR for scanned files, interprets layout variations, and identifies key financial fields and tables across single or multi-page documents.

Extraction can be performed in two ways: automatic AI detection of fields and line items, or manual field definition where users select specific data points and tables. This flexibility supports both quick, automated processing and precise, custom extraction needs.

After extraction, results are reviewed and exported as a structured Excel (.xlsx) file with consistent columns suitable for import into spreadsheets, ERP, or accounts payable systems. JSON output can be used for downstream integrations or further processing.

Core Benefits and Applications

Parserdata streamlines financial data entry by reducing manual effort and standardizing outputs across diverse document formats. It improves accuracy, supports auditability with consistent column structures, and accelerates reconciliation and reporting tasks.

Common applications include:

• Accounts payable intake and vendor invoice processing
• Expense and receipt capture for bookkeeping
• Audit preparation and documentation review
• Bank statement analysis and transaction tabulation
• Data normalization for ERP and reporting pipelines

Pricing Overview

Prices shown before tax; applicable taxes are added at checkout.