Pricing

Pay per event

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PDF to Markdown, Tables & OCR for RAG

Try for free

Turn PDFs into clean Markdown, plain text, per-table JSON and RAG chunks with page numbers. OCR runs only on scanned pages. Public URLs or Key-value store files. Pay per page, no subscription.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Norton Claude

Actor stats

Bookmarked

Total users

Monthly active users

20 days ago

Last modified

Categories

Developer tools

Security

You can access the PDF to Markdown, Tables & OCR 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

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "pdfUrls": [
12        {
13            "url": "https://mozilla.github.io/pdf.js/web/compressed.tracemonkey-pldi-09.pdf"
14        }
15    ]
16};
17
18// Run the Actor and wait for it to finish
19const run = await client.actor("mzansi-dataworks/pdf-to-markdown-tables-ocr").call(input);
20
21// Fetch and print Actor results from the run's dataset (if any)
22console.log('Results from dataset');
23console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
24const { items } = await client.dataset(run.defaultDatasetId).listItems();
25items.forEach((item) => {
26    console.dir(item);
27});
28
29// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

PDF to Markdown, Tables & OCR: RAG-ready Chunks API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use PDF to Markdown, Tables & OCR for RAG API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

PDF to Markdown, Tables & OCR for RAG API in Python

PDF to Markdown, Tables & OCR for RAG API through CLI

PDF to Markdown, Tables & OCR for RAG OpenAPI definition

PDF to Markdown, Tables & OCR for RAG API

PDF to Markdown Converter - AI-Powered with OCR & Tables

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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.

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An Apify Actor that takes a URL as input and returns the content of the page in Markdown format.

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This Actor converts data from multiple sources into a clean, presentation-ready table. You can provide raw text, a direct URL to a file (like `.xlsx` or `.csv`), or Run ID of another Apify Actor, and this tool will automatically format it into Markdown, HTML, or Confluence Wiki markup.

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PDF Text & Table Extractor – Pages, Markdown, RAG

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PDF to text, Markdown and tables, page by page. Input: PDF URLs (+ page ranges). Output: per-page text, Markdown with tables, table cells, RAG chunks and document metadata. No OCR. $1.50/1k pages; image-only pages free.

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PDF to Markdown for RAG & LLMs — Tables

vivid_astronaut/pdf-to-markdown-for-rag

Convert PDFs into structured Markdown for RAG and LLM ingestion while preserving tables, headings, and reading order. No external parsing API key; tiered per-page pricing.