You can access the PDF Text and Markdown Extractor 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    "pdfUrls": ["https://www.orimi.com/pdf-test.pdf"],
10    "pageRange": "",
11    "includeMarkdown": True,
12    "includePages": True,
13    "enableOcr": False,
14    "ocrLanguage": "eng",
15    "maxPages": 20,
16    "maxConcurrency": 2,
17    "maxPdfSizeMb": 25,
18}
19
20# Run the Actor and wait for it to finish
21run = client.actor("fetch_cat/pdf-text-markdown-extractor").call(run_input=run_input)
22
23# Fetch and print Actor results from the run's dataset (if there are any)
24print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
25for item in client.dataset(run.default_dataset_id).iterate_items():
26    print(item)
27
28# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

PDF Text Extractor and PDF to Markdown API API in Python

The Apify API client for Python is the official library that allows you to use PDF Text and Markdown Extractor API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

PDF Text and Markdown Extractor API in JavaScript

PDF Text and Markdown Extractor API through CLI

PDF Text and Markdown Extractor OpenAPI definition

PDF Text and Markdown Extractor API

PDF Text Extractor - OCR, Markdown & JSON

datascraperes/pdf-text-extractor

Extract clean text, Markdown and JSON from public PDF URLs, including scanned pages with OCR for research, automation and AI workflows.

DataScraperES

Web Page to Markdown Extractor

fetch_cat/web-page-to-markdown-extractor

Convert public URLs into clean Markdown, text, metadata, links, images, and optional HTML for AI and automation workflows.

Hanna Nosova

Pdf To Markdown

vivid_astronaut/pdf-to-markdown

BRAINIALL Team

PDF Text Extractor – PDF to Text, Metadata & Pages

haketa/pdf-text-extractor

Extract clean text and metadata from any PDF by URL: full text, per-page text, page count, title, author, dates and producer. No browser, no OCR needed for text PDFs. Ideal for AI/RAG, search and document data extraction. Export to JSON, CSV or Excel.

Haketa

PDF Text Extractor

parsebird/pdf-text-extractor

Extract text and metadata from PDF files by URL: title, author, page-by-page text, embedded metadata, and optional Markdown conversion.

ParseBird

PDF Text Extractor — Markdown, OCR & Metadata

memo23/pdf-text-extractor

Turn any PDF URL into clean data: full text, LLM-ready Markdown, per-page content, and metadata. Reads scanned PDFs via OCR (23 languages), supports page ranges, and processes files in parallel. Export JSON, CSV, or Excel. Ideal for RAG pipelines, invoices, and research.

Muhamed Didovic

206

5.0

PDF Text Extractor - Bulk PDF to Text & Metadata

santamaria-automations/pdf-extractor

Extract text and metadata from any PDF URL in bulk. Get page content, author, title, creation date, and more. Detects scanned PDFs that need OCR. Perfect for document analysis, research, and compliance.

NanoScrape

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

PDF Text Extractor — Text & Metadata from URLs

darknezz/pdf-text-extractor

Extract clean text and metadata from any PDF by URL: full text, page count, title, author, dates as JSON. Perfect for AI pipelines, RAG ingestion, document search and content analysis. No API key needed.

Oaida Adrian

PDF to Text & Markdown Extractor (URLs → clean text)

arthursbuisness/pdf-to-text-markdown-extractor

Extract clean text or Markdown from PDF files by URL. Reading-order text, layout mode for tables/columns, per-page splitting, page ranges, metadata (pages, title, author). Fast Poppler engine, pay per document. Ideal for RAG/LLM ingestion and document monitoring.