Pricing

$0.50 / 1,000 page converteds

Try for free

Go to Apify Store

PDF to Markdown with Page Numbers – Tables, RAG Chunks

Try for free

Convert PDF URLs to clean Markdown with page numbers for citations. Headings, lists, real Markdown tables, 2-column reading order, metadata and RAG chunks that keep their page range. Scanned pages are flagged "needs OCR" and never charged. $0.50 per 1,000 pages.

Pricing

$0.50 / 1,000 page converteds

Rating

0.0

(0)

Developer

Ryu Moon

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

Features

You can access the PDF to Markdown with Page Numbers – Tables, RAG Chunks 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

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "urls": ["https://arxiv.org/pdf/1706.03762"],
10    "outputFormat": "document",
11    "chunkSize": 1500,
12    "chunkOverlap": 150,
13    "pageRange": "",
14    "maxPagesPerPdf": 20,
15    "maxPdfSizeMb": 100,
16    "timeoutPerPdfSecs": 300,
17    "pageMarkers": True,
18    "detectTables": True,
19    "detectColumns": True,
20    "removeHeadersFooters": True,
21    "includePages": False,
22    "includePlainText": False,
23    "saveMarkdownFiles": True,
24    "pdfPassword": "",
25    "maxConcurrency": 1,
26    "proxyConfiguration": { "useApifyProxy": False },
27    "compactOutput": True,
28    "timeBudgetSecs": 120,
29}
30
31# Run the Actor and wait for it to finish
32run = client.actor("ryumoon-data/pdf-to-markdown").call(run_input=run_input)
33
34# Fetch and print Actor results from the run's dataset (if there are any)
35print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
36for item in client.dataset(run.default_dataset_id).iterate_items():
37    print(item)
38
39# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

PDF to Markdown API – Page Numbers, Tables & RAG Chunks API in Python

The Apify API client for Python is the official library that allows you to use PDF to Markdown with Page Numbers – Tables, RAG Chunks API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

PDF to Markdown with Page Numbers – Tables, RAG Chunks API in JavaScript

PDF to Markdown with Page Numbers – Tables, RAG Chunks API through CLI

PDF to Markdown with Page Numbers – Tables, RAG Chunks OpenAPI definition

PDF to Markdown with Page Numbers – Tables, RAG Chunks API

PDF to Markdown Converter - AI-Powered with OCR & Tables

clearpath/pdf-to-markdown-api

Convert PDFs to clean Markdown with GPU-accelerated AI. Extracts tables, LaTeX formulas, and images from complex layouts. Supports OCR for scanned docs in 8 languages. Batch process hundreds of PDFs in parallel via URL, upload, or API.

ClearPath

PDF to Markdown — Tables + OCR, for RAG & AI Agents

lizaraco/pdf-to-markdown

Convert PDFs to clean markdown at scale: layout-aware text extraction, table handling, and a vision-model OCR tier for scanned or broken pages. Per-page transparency, never-fail runs.

Shawn Downs

Markdown to PDF MCP Server

parseforge/markdown-to-pdf-mcp

Convert Markdown text or files to PDF documents via an MCP server. Supports custom styling, page sizes, and headers. No external dependencies.

ParseForge

5.0

(2)

PDF to Markdown & JSON Converter (Docling)

actorzlab/docling-pdf-converter

Convert PDF documents to clean Markdown, structured JSON, and plain text using IBM's open-source Docling AI. Handles text PDFs and scanned documents (OCR), extracts tables and images. No external API key required — runs fully on-device.

Khalil Drissi

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

fetchbase/document-to-markdown

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.

Fetchbase

PDF to Markdown Converter — LLM-Ready Text & RAG Chunks

actor-forge/pdf-to-markdown

Convert PDF URLs to clean, LLM-ready Markdown: headings, paragraphs and lists rebuilt from the layout, running headers and page numbers removed, plus plain text, per-page content, RAG chunks and metadata. Finds PDFs linked from web pages. $3 per 1,000 PDFs + $0.20 per 1,000 pages.

ActorForge

PDF to Markdown with Tables

agent-harbor-llc/pdf-to-markdown-with-tables

Public PDF URL in, clean markdown out: text page by page with tables as markdown tables, page count, title, word and table counts, and the pages that have no text layer. Up to 30 pages per document. Pay per document; non-PDFs and scans without text are free.

Agent Harbor LLC

PDF to Markdown Scraper | Text, Tables & OCR

thescrapelab/Apify-PDF-url-scraper

Convert public PDF links into Markdown, text, tables and source-cited chunks for AI search. Optional English OCR and paid AI cleanup. Export page-level JSON or download complete Markdown files.

Inus Grobler

PDF to Markdown – Text, Tables & Chinese/CJK for LLMs (No OCR)

raspberry_rondel/pdf-to-markdown-converter

Convert text-based PDFs to clean Markdown or plain text for LLMs and RAG: reading order for two-column papers, Markdown tables, Traditional and Simplified Chinese; garbled pages are flagged. Scanned PDFs are detected and not charged (no OCR).

星賢陳

PDF to Markdown & RAG Chunks — OCR, Tables, Page Citations

opendatafrontierlab/pdf-to-markdown-rag

Convert PDF URLs into clean LLM-ready Markdown (headings, tables) or heading-aware RAG chunks with page numbers and citations. Automatic OCR for scanned pages. No external AI APIs or token costs. Great for RFPs, regulations, reports and manuals. $1.50 per 1,000 pages.