You can access the PDF to Markdown & JSON for LLMs/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 = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("wmora/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 & JSON for LLMs/RAG API in Python

The Apify API client for Python is the official library that allows you to use PDF to Markdown & JSON for LLMs/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 & JSON for LLMs/RAG API in JavaScript

PDF to Markdown & JSON for LLMs/RAG API through CLI

PDF to Markdown & JSON for LLMs/RAG OpenAPI definition

PDF to Markdown & JSON for LLMs/RAG API

PDF Extractor: PDF → Clean Markdown + JSON for LLM/RAG

boxbox10/pdf-extractor

Turn any PDF URL into clean, LLM-ready Markdown + structured JSON (title, metadata, per-page text, page count, word count, token count). Perfect for RAG pipelines, AI agents, and LLM document ingestion.

Marvin Eguilos

PDF to Markdown & JSON (RAG-Ready)

basisweb/pdf-to-markdown-rag

Convert PDFs to clean Markdown and structured JSON (text + tables) for RAG, LLMs, and vector DBs. Batch URLs, pay per page.

BasisWeb

Document Parser — PDF/DOCX to Markdown & JSON for RAG

genuine_qa/document-parser

Convert PDF, DOCX, PPTX, XLSX, HTML and images into clean Markdown or JSON for RAG and LLM pipelines. Powered by IBM's open-source Docling.

Rahul Bhiwagade

PDF to Markdown & JSON Extractor for LLMs

f0rty7even/pdf-extractor

Turn any PDF URL into clean, LLM-ready Markdown and structured JSON. Extracts text + tables + document metadata for RAG, agents, and fine-tuning. No AGPL components.

Michael Yousrie

PDF to Markdown Converter: Docling Parser for AI & RAG

raional/pdf-to-markdown-converter

Convert PDF, DOCX, PPTX, XLSX, HTML and images to clean Markdown and structured JSON using IBM's open-source Docling library. Preserves headings, tables, and page structure. RAG-ready chunked output mode for LLM pipelines.

Raion Al

Site Crawler: Website → Markdown Corpus for LLM/RAG

boxbox10/site-crawler

Crawl a whole website or docs site and get one clean, LLM-ready Markdown + JSON record per page (title, headings, content, links, token count). Built for RAG ingestion and AI knowledge bases.

Marvin Eguilos

PDF Text Extractor — Structured Tables, Markdown & Metadata

nuhemugames/pdf-text-table-extractor

Extract text from PDF URLs at scale: full text, per-page text, real structured tables (rows and columns as JSON, not text lines), document metadata and clean Markdown for LLM/RAG. The table extraction generic PDF text extractors don't have. No credentials needed.

kuon

Website to Markdown for LLMs & RAG — Content Extractor

fetchbase/website-to-markdown

Turn any URL or whole site into clean, LLM-ready Markdown, text, or JSON. Strips nav/ads/boilerplate; keeps headings, links, tables, code. Sitemap-aware concurrent crawl, URL filters, robots.txt respected, rich metadata. Charged only per page extracted — no startup fee.

Fetchbase

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

YouTube Transcript Generator API & Subtitle Downloader

tugelbay/youtube-transcript

YouTube transcript generator API for bulk SRT/VTT, Markdown, JSON, and text exports with metadata for AI/RAG, research, subtitles, and content workflows. Guide: https://konabayev.com/tools/youtube-transcript-scraper/?utm_source=apify_info&utm_medium=referral&utm_campaign=youtube-transcript