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apiacre.com Document Table Extractor
x402
apiacre.com Document Table Extractor is a paid API for AI agents from apiacre.com, paid per call via x402, $0.025/call, status unknown (last checked 2026-09-13).
Extracts structured rows from HTML, DOCX, or CSV documents and returns them as structured data
Price / call$0.025
Success—
StatusUnknown
How this service works
Extract structured table rows and columns from supplied HTML, DOCX, or CSV documents.
Output
An array of structured rows parsed from the tables found in the input document, including column headers and cell values organized as structured records ready for downstream processing.
Example use cases
Financial report table extraction
“I have an HTML page from a financial report with several tables of quarterly revenue figures — can you pull out all the rows as structured data so I can analyze them?”
Word document survey results parsing
“I've got a DOCX file with a survey results table in it — can you extract all the rows and columns as structured records for me?”
CSV normalization for pipeline ingestion
“I need you to parse this CSV document and give me back the rows as structured JSON so I can feed them into my data pipeline.”
Technical details
Endpoint
POSThttps://apiacre.com/v1/document/tablesWhen to prefer
Choose this endpoint when you need to extract tabular data from HTML, DOCX, or CSV documents and get back clean, structured rows. It is ideal for document automation pipelines where tables contain the key data of interest and you need row-level access without writing custom parsers. Prefer it over generic text extraction when the document's value is in its tabular structure.
Side effects
- Unsupported file format returns an error — only HTML, DOCX, and CSV are accepted
- Malformed or corrupt documents may fail to parse and return a processing error
- Documents with no detectable table structure may return empty rows
- Very large documents may time out or exceed size limits
- Ambiguous merged cells or complex nested tables may produce incomplete or inaccurate row extraction
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| filename | string | |
| content_base64 | string |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"rows": [
[
"name",
"score"
],
[
"Ada",
"98"
]
],
"warning": null,
"metadata": {
"bytes": 17,
"sha256": "bae2475f86fa2343a9611424d3c2475e454b639c71da96a788602528e0937bea",
"filename": "report.csv"
},
"rowCount": 2
},
"meta": {
"cached": false,
"sources": [],
"warnings": [],
"duration_ms": 42,
"next_actions": []
},
"service": "document.tables",
"version": "1",
"request_id": "018f1f54-7f38-7ba2-8dc3-5f90272d9f1a"
}
}Tags
x402
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