Tanod Docs XLSX to JSON

x402

Tanod Docs XLSX to JSON is a paid API for AI agents from docs.tanod.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-13).

Converts an Excel workbook (.xlsx/.xlsm) to structured JSON or CSV, returning sheet names, rows, and cell values

Price / call$0.005

Seller volume →—

Success—

StatusUnknown

How this service works

Documents: DOCX template fill, Office to PDF, any file to Markdown, PDF to Word, OCR, PDF pipeline.

Output

Returns a JSON object with the output format, operation name, input byte size, sheet count, and an array of sheets — each containing the sheet name, a rows array of string arrays, column count, row count, and a truncated flag. Optionally returns a download URL with expiry, byte size, content type, and SHA-256 hash instead of inline base64 content.

Example use cases

Pipeline ingestion from uploaded spreadsheet

“I have a sales report as a base64-encoded xlsx file — can you parse it into JSON so I can load the rows from each sheet into our database?”

Financial data extraction for analysis

“Fetch this quarterly workbook from https://finance.example.com/Q3-2024.xlsx and convert it to JSON so I can see all the sheets and their row values.”

Export spreadsheet as CSV for downstream tools

“Convert this Excel file at https://data.example.com/inventory.xlsx to CSV format and give me a download URL I can pass to our reporting tool.”

Technical details

Endpoint

POSThttps://docs.tanod.dev/v1/docs/xlsx-to-json?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to extract structured row/cell data from Excel workbooks (.xlsx or .xlsm) as JSON or CSV, especially in automated pipelines where you want per-sheet arrays of string values. Prefer it over generic document converters when the output must preserve multi-sheet structure and cell-level granularity. The URL delivery option is useful when large workbooks would bloat your context window.

Side effects

File exceeds 20 MB (URL) or 10 MB (base64) size limit — request rejected
Private, internal, or IP-literal host URLs refused
Unsupported file format (non-.xlsx/.xlsm) — parse error
Formula cells return empty string if file was never opened in a spreadsheet application
Network timeout fetching remote URL
Malformed base64 input — decoding error

Input

Schema · Request body

Field	Type	Description
url	—	Public http(s) URL of the workbook (at most 20 MB; private, internal and IP-literal hosts are refused); or use file_base64.
format	string	json (default: each sheet with its name and rows, cells as strings) or csv (one formula-safe CSV file per sheet).
output	string	base64 (default): the file comes back inline as base64. url: the file is stored for 24 hours and the reply carries a download link (url, expires_at, bytes, content_type, sha256) instead of the base64, which keeps the file out of your context window.
file_base64	—	The workbook as base64 (at most 10 MB decoded; .xlsx or .xlsm); or use url.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "note": "Cells are strings exactly as the workbook stores them; a formula cell is the value last computed by a spreadsheet application (empty if the file was never opened in one). Trailing empty cells and rows are dropped. CSV output is one file per sheet, UTF-8 with CRLF, and a cell that could be read as a formula is prefixed with an apostrophe (OWASP) so a spreadsheet cannot run it.",
    "format": "json",
    "sheets": [
      {
        "name": "Sales",
        "rows": [
          [
            "region",
            "q1",
            "q2",
            "total"
          ],
          [
            "North",
            "1204",
            "1311",
            "2515"
          ],
          [
            "South",
            "980",
            "1015",
            "1995"
          ]
        ],
        "columns": 4,
        "row_count": 3,
        "truncated": false
      },
      {
        "name": "Notes",
        "rows": [
          [
            "prepared",
            "2026-10-09"
          ]
        ],
        "columns": 2,
        "row_count": 1,
        "truncated": false
      }
    ],
    "operation": "xlsx-to-json",
    "input_bytes": 5425,
    "sheet_count": 2,
    "sheets_read": 2,
    "untrusted_content": true
  }
}

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