PDF to Text

Overview

Text is read with Mozilla's pdf.js, in reading order with line breaks kept. Up to 100 pages are read per call; longer documents report their full page count with truncated set to true. Scanned PDFs have no text layer and return hasText false, as no OCR is performed.

Live Test PDF to Text Skill →

The tool

Once your client is connected to the VerveKit server, this appears in its tool list as PDFtoText. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.

{
  "name": "PDFtoText",
  "arguments": {}
}

Connecting

One server URL covers every skill in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.

{
  "mcpServers": {
    "vervekit": {
      "url": "https://api.vervekit.com/v1/mcp"
    }
  }
}

https://api.vervekit.com/v1/mcp

Per-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.

Arguments

These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.

What the model gets back

The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.

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{
  "status": "ok",
  "error": null,
  "data": {
    "text": "Table Of Content\nChapter 1 .......................................................... 2\nParagraph 1.1 ...................................................... 3\npage 1 / 3\n\nChapter 1\npage 2 / 3\n\nParagraph 1.1\nPowered by TCPDF (www.tcpdf.org)\npage 3 / 3",
    "pageCount": 3,
    "pagesExtracted": 3,
    "truncated": false,
    "hasText": true,
    "wordCount": 31,
    "characterCount": 250,
    "pages": [
      {
        "page": 1,
        "text": "Table Of Content\nChapter 1 .......................................................... 2\nParagraph 1.1 ...................................................... 3\npage 1 / 3",
        "wordCount": 15
      },
      {
        "page": 2,
        "text": "Chapter 1\npage 2 / 3",
        "wordCount": 6
      },
      {
        "page": 3,
        "text": "Paragraph 1.1\nPowered by TCPDF (www.tcpdf.org)\npage 3 / 3",
        "wordCount": 10
      }
    ],
    "metadata": {
      "title": "Basic API Test",
      "author": "Brendan Dahl",
      "subject": null,
      "creator": "pdf.js",
      "producer": "TCPDF 5.9.133 (http://www.tcpdf.org)",
      "creationDate": "2012-04-10T21:30:26.000Z",
      "modificationDate": "2012-04-10T21:30:26.000Z",
      "pdfVersion": "1.7"
    }
  }
}

Response fields

Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.

Failure modes

Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.

A call costs 10 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.

Use cases

Search Indexing

Index the text of uploaded PDFs so users can search inside documents, not just their titles.

AI and RAG Pipelines

Feed PDF text, page by page, into embeddings or a language model for question answering over documents.

Document Intake

Read invoices, statements and forms as text for downstream parsing and validation.

Content Moderation

Check the text of uploaded PDFs against your policies before they are published.

Other ways to use PDF to Text

Set up PDF to Text on VerveKit, or reach the same source a different way. Your VerveKit account and credits work on all of them — one key, one balance.

Related

More in Documents: