Extract Text from Document

Parse PDF, DOCX, HTML, and other document formats into structured markdown or JSON, with optional OCR for scanned pages.

When to use

• Extract content from PDFs (reports, contracts, invoices) for downstream text processing.
• OCR scanned documents — force OCR on image-only PDFs where no selectable text layer exists.
• Normalize to markdown for ingestion into RAG pipelines or LLM context windows.

Inputs & outputs

Input modality	Document file (URL)
Output modality	Text (markdown or JSON)
Supported formats	PDF, DOCX, XLSX, PPTX, HTML, EPUB, ODT
Max input size	100 MB

Parameters

Param	Required	Description
ocr	no	OCR mode — auto (try text layer first), force (always OCR), off (text layer only). Default: auto
output_format	no	Output format — markdown or json. Default: markdown

Examples

PDF with auto-OCR → markdown

{
  "type": "document.extract_text",
  "input": { "document_url": "gs://infery-prod-media/docs/report.pdf" },
  "params": { "ocr": "auto", "output_format": "markdown" }
}

Force OCR on scanned invoice → JSON

{
  "type": "document.extract_text",
  "input": { "document_url": "gs://infery-prod-media/docs/scanned_invoice.pdf" },
  "params": { "ocr": "force", "output_format": "json" }
}

Pricing

Billed per page processed. OCR pages are billed at a higher rate than text-layer extraction. See pricing dashboard for current rates.

Related capabilities

• document.convert_format — convert the extracted markdown to HTML, DOCX, or PDF
• document.render_slides — render markdown as a slide deck

{
  "ocr": "auto",
  "output_format": "markdown"
}