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from $1.60 / 1,000 pdf extracteds

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PDF to Markdown and Text: Tables, Pages, Metadata for RAG

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PDF parser and text extractor: turn PDF URLs into clean Markdown, plain text, per-page text and detected tables. Fast, no browser, no proxy. Flags scanned pages that need OCR instead of charging for empty text. Built for RAG and document pipelines. USD 2 per 1,000 PDFs (up to 100 pages each).

Pricing

from $1.60 / 1,000 pdf extracteds

Rating

0.0

(0)

Developer

JT Palms

Actor stats

Bookmarked

Total users

Monthly active users

8 days ago

Last modified

Categories

Developer tools

Automation

You can access the PDF to Markdown and Text: Tables, Pages, Metadata 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 = {
9    "urls": [
10        { "url": "https://www.irs.gov/pub/irs-pdf/fw9.pdf" },
11        { "url": "https://www.federalreserve.gov/monetarypolicy/files/monetary20240131a1.pdf" },
12        { "url": "https://www.govinfo.gov/content/pkg/CFR-2012-title12-vol1/pdf/CFR-2012-title12-vol1-part1.pdf" },
13    ],
14    "maxPages": 50,
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("jtpalms/pdf-to-markdown").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
22for item in client.dataset(run.default_dataset_id).iterate_items():
23    print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

PDF to Markdown Extractor | Text, Tables, Pages, RAG-ready API in Python

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

Install the apify-client

$pip install apify-client

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