Pricing

from $3.00 / 1,000 document page processeds

PDF & DOCX to Markdown — Document Extractor for LLM/RAG

Convert PDF and Word (DOCX) documents into clean Markdown, text, or JSON. Smart PDF paragraph reflow, page markers for RAG citations, full DOCX structure (headings, lists, tables), custom auth headers. No browser — parses in seconds. Charged per page processed — no startup fee.

Pricing

from $3.00 / 1,000 document page processeds

Rating

0.0

(0)

Developer

Runlayer

Actor stats

Bookmarked

Total users

Monthly active users

17 hours ago

Last modified

Categories

Developer tools

Automation

You can access the PDF & DOCX to Markdown — Document Extractor for LLM/RAG 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 Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
  "openapi": "3.0.1",
  "info": {
    "version": "0.1",
    "x-build-id": "SDB0fKCge2p9dfINO"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/runlayer~document-to-markdown/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-runlayer-document-to-markdown",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/runlayer~document-to-markdown/runs": {
      "post": {
        "operationId": "runs-sync-runlayer-document-to-markdown",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/runlayer~document-to-markdown/run-sync": {
      "post": {
        "operationId": "run-sync-runlayer-document-to-markdown",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    }
  },
  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "required": [
          "fileUrls"
        ],
        "properties": {
          "fileUrls": {
            "title": "Document URLs",
            "type": "array",
            "description": "Direct links to PDF or DOCX files (public URLs, presigned S3/GCS links, or Apify key-value-store record URLs). Each document produces one dataset item; billing is per page processed.",
            "items": {
              "type": "string"
            }
          },
          "outputFormat": {
            "title": "Output format",
            "enum": [
              "markdown",
              "text",
              "json"
            ],
            "type": "string",
            "description": "markdown (best for LLMs/RAG), text (plain), or json (markdown + text + per-page breakdown + metadata).",
            "default": "markdown"
          },
          "pageMarkers": {
            "title": "Insert page markers (PDF)",
            "type": "boolean",
            "description": "Insert '--- Page N ---' separators between PDF pages so chunkers and citations can reference page numbers.",
            "default": false
          },
          "maxPagesPerDoc": {
            "title": "Max pages per document",
            "minimum": 1,
            "maximum": 2000,
            "type": "integer",
            "description": "Safety cap: stop processing a PDF after this many pages (protects against huge documents and caps your cost).",
            "default": 500
          },
          "requestHeaders": {
            "title": "Custom HTTP headers for fetching files",
            "type": "object",
            "description": "Optional headers sent when downloading the documents, e.g. {\"Authorization\": \"Bearer …\"} for protected files you have access to."
          },
          "timeoutSecs": {
            "title": "Download timeout (seconds)",
            "minimum": 5,
            "maximum": 300,
            "type": "integer",
            "description": "Max time to download each document.",
            "default": 60
          }
        }
      },
      "runsResponseSchema": {
        "type": "object",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
              "id": {
                "type": "string"
              },
              "actId": {
                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
                "type": "object",
                "properties": {
                  "inputBodyLen": {
                    "type": "integer",
                    "example": 2000
                  },
                  "rebootCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "restartCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "resurrectCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "computeUnits": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "options": {
                "type": "object",
                "properties": {
                  "build": {
                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
                    "example": 1024
                  },
                  "diskMbytes": {
                    "type": "integer",
                    "example": 2048
                  }
                }
              },
              "buildId": {
                "type": "string"
              },
              "defaultKeyValueStoreId": {
                "type": "string"
              },
              "defaultDatasetId": {
                "type": "string"
              },
              "defaultRequestQueueId": {
                "type": "string"
              },
              "buildNumber": {
                "type": "string",
                "example": "1.0.0"
              },
              "containerUrl": {
                "type": "string"
              },
              "usage": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "integer",
                    "example": 1
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "usageTotalUsd": {
                "type": "number",
                "example": 0.00005
              },
              "usageUsd": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "number",
                    "example": 0.00005
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

PDF & DOCX to Markdown API for LLMs & RAG 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 & DOCX to Markdown — Document Extractor for LLM/RAG 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 & DOCX to Markdown — Document Extractor for LLM/RAG API in Python

PDF & DOCX to Markdown — Document Extractor for LLM/RAG API in JavaScript

PDF & DOCX to Markdown — Document Extractor for LLM/RAG API through CLI

PDF & DOCX to Markdown — Document Extractor for LLM/RAG API

PDF & Document to Markdown - PDF, DOCX & HTML for LLMs

entranced_gelato/ai-document-reader

Turn any PDF, DOCX, TXT, or HTML document into clean, LLM-ready text + Markdown with metadata (title, pages, word count) and an optional AI summary. The document counterpart to a web reader — built for RAG ingestion, document Q&A, and AI agents (LangChain, LlamaIndex). Fast, structured, single-call.

AIDevs

PDF to Markdown Converter - Extract & Format Text

ntriqpro/pdf-to-markdown

Convert PDF documents to clean, readable markdown format. Perfect for documentation and knowledge bases.

daehwan kim

ATS-Ready Resume Parser — Extract Skills & Experience

ntriqpro/resume-parser

Automatically read resumes and PDFs. Extract contact info, skills, work history, and education.

daehwan kim

Website Content Crawler

mikolabs/website-content-crawler

Deep-crawl websites to extract clean text, Markdown, or HTML for AI/LLM apps, RAG pipelines, and vector databases. Supports adaptive crawling, HTML cleaning, file downloads, and structured dataset output. Easily integrates with LangChain, LlamaIndex, and other LLM tools.

mikolabs

5.0

(1)

OCR & Document Extractor – PDF & Image to Text, JSON, Word

lofomachines/ocr-document-extractor

Convert scanned PDFs and images into clean, structured text in bulk. Export to JSON, Markdown, DOCX, TXT or HTML with tables and layout preserved.

Lofomachines

Pandoc Document Converter - HTML to Markdown, DOCX, EPUB, PPTX

scrapeworks/pandoc-document-converter

Convert documents between formats with Pandoc in the cloud: HTML to Markdown for LLMs and RAG, Markdown to Word DOCX, EPUB e-books, PowerPoint PPTX, LaTeX, reStructuredText and more. Feed it URLs or raw text, get one converted document per input.

Nicolas van Arkens

Website Content Crawler

worshipful_knife/website-content-crawler

Deep crawl websites and extract clean text, Markdown, or HTML for LLMs, RAG, and AI apps. Removes navigation, ads, cookie banners. Supports headless browser & HTTP. Sitemap discovery, URL scoping, file downloads. Feed ChatGPT, LangChain, LlamaIndex, Pinecone. The cheapest content crawler on Apify.

kata Kuri

Agentic Document Extractor

solutionssmart/agentic-document-extractor-local

Extract RAG-ready chunks with provenance from PDFs, scans, images, DOCX, XLSX, PPTX, CSV, TXT, and Markdown using a local-first Apify Actor.

Solutions Smart

Clean Web Scraper - Markdown for AI via Firecrawl

clearpath/web-to-markdown

Convert any website to clean, LLM-optimized markdown using Firecrawl. Perfect for RAG pipelines, AI training data, and knowledge bases. No login required, 25% cheaper than Firecrawl direct. Batch process hundreds of URLs. Supports PDF/DOCX. Pay only $0.004 per page - no monthly fees.

ClearPath

Website Content Pipeline for AI: Markdown, Tokens, RAG Chunks

scrapemint/website-content-crawler

Crawl any website and ship clean Markdown, plain text, and HTML for AI, LLM, and RAG pipelines. Each row carries token estimates, JSON LD metadata, link graph, and optional auto chunk splitting for vector databases. Pay per page.