Pricing

from $0.50 / 1,000 page converteds

Try for free

Go to Apify Store

PDF & DOCX to Markdown — Table Extraction & RAG Chunks

Try for free

Convert PDF and Word (DOCX) files to LLM-ready Markdown. Tables stay real Markdown tables (76% of rows exact on unseen statistical PDFs vs 31% without our repair), plus headings, page markers and optional RAG chunks with page range and section path. Batch URLs or uploads. No AI keys.

Pricing

from $0.50 / 1,000 page converteds

Rating

0.0

(0)

Developer

新世紀書僮

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

Developer tools

You can access the PDF & DOCX to Markdown — Table Extraction & 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": [{ "url": "https://arxiv.org/pdf/1512.03385" }],
10    "outputFormat": "markdown",
11    "pageMarkers": "comment",
12    "repairTables": True,
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("ingenious_quip_bxq/pdf-docx-to-markdown").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
20for item in client.dataset(run.default_dataset_id).iterate_items():
21    print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

PDF to Markdown & DOCX to Markdown Converter for LLM & RAG API in Python

The Apify API client for Python is the official library that allows you to use PDF & DOCX to Markdown — Table Extraction & 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 & DOCX to Markdown — Table Extraction & RAG Chunks API in JavaScript

PDF & DOCX to Markdown — Table Extraction & RAG Chunks API through CLI

PDF & DOCX to Markdown — Table Extraction & RAG Chunks OpenAPI definition

PDF & DOCX to Markdown — Table Extraction & RAG Chunks API

PDF Text Extractor — Markdown, Tables, OCR & RAG Chunks

nanare-sudo/pdf-text-extractor-rag

Extract text, GFM Markdown, tables (2D arrays + CSV) and heading-aware RAG chunks with page anchors from PDFs. URLs, base64 upload, key-value store, password-protected PDFs, page ranges, OCR fallback (eng/deu/fra/spa) only for pages without a text layer. Failed PDFs are never charged.

Leonardo Berisha

PDF & Document to Markdown for RAG - Word, PPT, Excel

kantolabs/document-to-markdown

Convert PDF, Word, PowerPoint, Excel, EPUB and HTML files into clean, LLM-ready Markdown with page counts and heading-aware RAG chunks. One flat price for any format: $4 per 1,000 documents; failed files are free.

Kanto Labs

HTML Readability to Markdown Converter

automation-lab/html-readability-markdown-converter

Convert raw HTML or one anonymous public webpage into clean Markdown with headings, links, source metadata, and a content hash for RAG ingestion or archives.

Automation Lab

Website to Markdown — Clean Page Text for LLMs

sourcedirect/website-to-markdown

Fetch any URL and return clean markdown/text plus links. No headless browser for most pages. Free demo: https://vaytric.com/page-to-markdown/ — bulk URL lists here.

Kurt Landman

PDF Text Extractor: tables, OCR, Markdown, JSON per page

brenton8907/pdf-text-table-ocr-extractor

Extract source-aware per-page text, conservative tables as CSV/Excel-ready rows, metadata, and OCR for scanned PDF pages with confidence scores. Text spacing and reading order depend on the PDF's embedded text layer. Pay per page, no per-file fee.

Brenton Keller

Chinese Website to Markdown for AI & RAG

yeoso/chinese-website-to-markdown

Convert public Chinese and multilingual web pages into clean Markdown for AI prompts, embeddings, knowledge bases, and RAG pipelines.

Peng

PDF Tables Extractor — Tables Out of Any PDF

alaudinburki/pdf-tables-extractor

Pull real tables out of PDFs as rows you can use, with a confidence score on every table. Outputs one item per row for spreadsheets, or Markdown and CSV for docs and LLM prompts. Says plainly when a PDF is a scan with no text layer instead of returning silent nonsense.

alaudin burki

PDF to Markdown for RAG

bindler/pdf-to-markdown

Convert PDFs to clean markdown with real reading order. Handles two-column layouts, detects headings and paragraphs. Built for RAG pipelines and LLM ingestion.

Neil Sangwaiya

PDF to Markdown for RAG & AI agents (with OCR)

fetchlab/pdf-to-markdown

Convert PDFs to clean Markdown with headings, lists and tables, page by page. Automatic OCR for scanned pages (EN/FR/NL/DE/ES/IT/PT), optional RAG chunking with page references, table of contents. Built for LLM pipelines and AI agents.

fetchlab

PDF Text & Table Extractor — Markdown & JSON

keyman98/pdf-text-extractor

Extract text, tables and metadata from PDF URLs into clean Markdown, plain text or JSON. Pay only for PDFs processed successfully. Digital PDFs only — no OCR, no scanned files.

KeyMan98