
Turn messy PDF invoices and images into clean Excel & CSV

Tablize is an AI-powered tool designed to convert unstructured data from PDF invoices and images into structured, spreadsheet-ready formats such as Excel and CSV. It addresses a common challenge faced by businesses and professionals who deal with inconsistent, scanned, or poorly formatted documents that traditional tools struggle to process accurately. By leveraging AI Vision technology, Tablize automates the extraction of key financial data, reducing manual entry and minimizing errors.
The product is ideal for accountants, bookkeepers, small business owners, and finance teams who regularly process vendor invoices, purchase orders, and billing statements. It supports both digital and scanned documents, making it suitable for organizations transitioning from paper-based workflows to digital recordkeeping without requiring perfectly formatted inputs.
The workflow consists of three straightforward steps. First, users upload an invoice in PDF, PNG, JPG, or WEBP format—whether digitized or scanned. The system accepts multi-page documents and processes each file individually.
Second, Tablize’s AI analyzes the document using computer vision to detect and extract tabular data, including line items, quantities, prices, and totals. Users can review the extracted content, make edits directly in the interface, and ensure accuracy before proceeding.
Third, users pay $2 only if the extraction is successful and then download the cleaned data in Excel or CSV format. There is no upfront cost or account registration required, and payments are securely processed through standard payment gateways.
Tablize streamlines accounts payable and expense reporting workflows by eliminating time-consuming manual data entry. It reduces processing time from 5–20 minutes per invoice down to approximately 2 minutes, improving operational efficiency.
Common applications include converting supplier invoices for accounting software import, extracting line-item data for financial analysis, and digitizing paper records for audit preparation. The ability to handle messy or low-quality scans makes it particularly useful for legacy document conversion.
| Feature | Support |
|---|---|
| Digital Invoices | Supported |
| Scanned Invoices | Supported |
| Multi-page Tables | Supported |
| Complex Layouts | Supported |
| Handwritten Notes | Not supported |
| Password-protected PDFs | Not supported |
| Bank Statements | Not supported |
| POS Receipts | Not supported |