Extract Tables from PDF Files Without Templates
Price lists, tender schedules, statements and reports keep their most useful data in tables. Datatera.ai extracts tables from PDF files, native and scanned, keeps the row and column structure, and delivers clean records to Excel, your database or your data warehouse.
PDF table extraction for nested and complex tables
A bill of quantities in a tender pack is a typical case, with grouped sections, subtotals between rows and headers that span several columns. Datatera flattens it into one row per item and keeps the section as its own column.
| Section | Item | Description | Qty | Unit | Unit price |
|---|---|---|---|---|---|
| 1. Earthworks | 1.1 | Excavation in soft soil | 1,200 | m³ | 4.50 |
| 1. Earthworks | 1.2 | Backfill with selected material | 850 | m³ | 6.20 |
| 2. Concrete | 2.1 | Lean concrete C15, 50 mm | 320 | m² | 11.00 |
| 2. Concrete | 2.2 | Reinforced concrete slabs C30 | 140 | m³ | 96.00 |
Illustrative output. Columns follow your own schema.
From one PDF to thousands, with the same output schema
One definition of the columns you need, applied to every file in the batch.
Native and scanned PDFs
Text-based PDFs, scanned pages and photos of printed tables are routed to the right engine automatically.
No zones, no templates
Nothing to draw and no template per supplier. The model reads the table the way an analyst would.
Nested tables and grouped rows
Section headers, sub-items and nested tables are resolved into flat, query-ready rows.
Built-in quality checks
Extracted amounts, dates and currencies are cross-validated with built-in quality checks before delivery.
Measured in public
Our extraction benchmark includes a scanned invoice and a complex investor table, with audited results per model.
Delivery where you work
Download to Excel, or load rows into your database or data warehouse through the API.
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