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PDF to Markdown & Text Extractor (tables, metadata)

Try for free

Convert PDF URLs into clean Markdown or plain text with headings, lists and tables, plus metadata, page and word counts. Ideal for RAG, LLM pipelines and document search. Flags scanned PDFs that need OCR.

Pricing

from $4.00 / 1,000 documents

Rating

0.0

(0)

Developer

Luca Despot

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Categories

Developer tools

You can access the PDF to Markdown & Text Extractor (tables, metadata) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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            "type": "array",
            "description": "Direct links to PDF files (http/https). One dataset item per PDF.",
            "items": {
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            }
          },
          "outputFormat": {
            "title": "Output format",
            "enum": [
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            "type": "string",
            "description": "Markdown keeps structure; ideal for LLMs and RAG.",
            "default": "markdown"
          },
          "pages": {
            "title": "Pages",
            "type": "string",
            "description": "Page range, e.g. <code>1-3,7,10-</code>. Empty = all pages.",
            "default": ""
          },
          "perPage": {
            "title": "Split per page",
            "type": "boolean",
            "description": "Add a <code>pages</code> array with text/markdown/tables for every page (useful for chunking and citations).",
            "default": false
          },
          "extractTables": {
            "title": "Extract tables",
            "type": "boolean",
            "description": "Detect tables, render them as Markdown tables and return their cells as JSON.",
            "default": true
          },
          "maxPagesPerPdf": {
            "title": "Max pages per PDF",
            "minimum": 0,
            "type": "integer",
            "description": "0 = no limit.",
            "default": 300
          },
          "maxFileSizeMb": {
            "title": "Max file size (MB)",
            "minimum": 1,
            "maximum": 200,
            "type": "integer",
            "description": "Larger files are skipped with an error item.",
            "default": 50
          },
          "maxItems": {
            "title": "Max PDFs",
            "minimum": 0,
            "type": "integer",
            "description": "0 = all.",
            "default": 0
          }
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              "startedAt": {
                "type": "string",
                "format": "date-time",
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PDF to Markdown & Text Extractor (tables, metadata) OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for PDF to Markdown & Text Extractor (tables, metadata) from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

PDF to Markdown & Text Extractor (tables, metadata) API in Python

PDF to Markdown & Text Extractor (tables, metadata) API in JavaScript

PDF to Markdown & Text Extractor (tables, metadata) API through CLI

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