Classify a PDF as text-based, scanned, image-based, or mixed, with confidence and OCR-page guidance.
url or base64Classify PDFs, identify pages that need OCR, extract text and layout positions, and convert documents into clean Markdown.
A fast first pass keeps document pipelines efficient and sends only scanned pages to OCR or vision models.
Determine whether the document is text-based, scanned, image-based, or mixed.
Use the returned OCR page list to avoid processing native-text pages unnecessarily.
Choose plain text, positioned text, or layout-aware Markdown for downstream work.
Every tool accepts either a public PDF URL or base64-encoded PDF bytes.
Classify a PDF as text-based, scanned, image-based, or mixed, with confidence and OCR-page guidance.
url or base64Return document type, page count, and pages needing OCR without producing Markdown.
url or base64Parse the document into text and Markdown with type and layout metadata.
url or base64 · optional pages[]Produce clean per-page Markdown plus table, column, and OCR layout flags.
url or base64 · optional pages[]Extract plain text for search, summarization, indexing, and analysis.
url or base64Return positioned text items with font and bounding-box metadata.
url or base64 · optional pages[]Use the custom-domain MCP endpoint with any non-empty Bearer token.
{
"mcpServers": {
"pdf-inspector": {
"type": "streamable-http",
"url": "https://pdfinspectormcp.agenticledger.ai/mcp",
"headers": { "Authorization": "Bearer pdf" }
}
}
}