Pricing

from $0.50 / 1,000 converted pdf pages

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PDF to Markdown — LLM-Ready Text Extractor for RAG

Try for free

Convert PDF URLs to clean Markdown for LLMs and RAG: headings, paragraphs, lists, page numbers, metadata and token estimates. One item per PDF or per page. $0.0005 per page, scanned pages are free.

Pricing

from $0.50 / 1,000 converted pdf pages

Rating

0.0

(0)

Developer

North Eng

Actor stats

Bookmarked

Total users

Monthly active users

9 days ago

Last modified

Categories

Developer tools

Security

You can access the PDF to Markdown — LLM-Ready Text Extractor for 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 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 = { "urls": [{ "url": "https://arxiv.org/pdf/1706.03762" }] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("reverend_sal/pdf-to-markdown").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
15for item in client.dataset(run.default_dataset_id).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

PDF to Markdown Converter API for LLMs and RAG API in Python

The Apify API client for Python is the official library that allows you to use PDF to Markdown — LLM-Ready Text Extractor for RAG 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 — LLM-Ready Text Extractor for RAG API in JavaScript

PDF to Markdown — LLM-Ready Text Extractor for RAG API through CLI

PDF to Markdown — LLM-Ready Text Extractor for RAG OpenAPI definition

PDF to Markdown — LLM-Ready Text Extractor for RAG API

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