Vextorium PDF Table Extractor is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.006/call, status unknown (last checked 2026-10-16).
Extracts tables from a text-based PDF (given its URL) and returns them as structured JSON rows with column names and page numbers.
Extract the tables of a PDF (URL) as JSON rows with their page: financial reports, official lists, invoices... Works on text PDFs (not scans). Optional page range.
Returns a JSON object with a count of tables found ('tablas') and a 'detalle' array. Each detail entry contains the page number ('pagina'), an array of column names ('columnas'), and an array of row objects ('filas') where each row is a key-value map of column name to cell value.
POSThttps://api.vextorium.com/pdf-tablas-pago?utm_source=zero.xyzChoose this endpoint when you need to programmatically extract tabular data from text-based PDFs (financial reports, invoices, official lists, government documents) and receive it as structured JSON rows. It is ideal when the PDF is accessible via a public URL and contains actual embedded text (not scanned images). Use the optional page range parameter to limit extraction to specific pages for performance.
| Field | Type | Description |
|---|---|---|
| url | string | |
| limite | integer | |
| paginas | string | e.g. 1-3,7 |
{
"type": "json",
"example": {
"tablas": 1,
"detalle": [
{
"filas": [
{
"col1": "Year I",
"Item A": "112.500",
"Item B": "225.000",
"Item C": "110.000"
},
{
"col1": "Year II",
"Item A": "121.500",
"Item B": "243.000",
"Item C": "128.000"
}
],
"pagina": 6,
"columnas": [
"col1",
"Item A"
]
}
]
}
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