Pricing

from $33.50 / 1,000 pdf intake checks

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PDF Text Extractor — Markdown, Per-Page Text, Tables, OCR & RAG

Try for free

Turn any PDF (URL or upload) into clean data: full text, LLM-ready Markdown, per-page text, tables, RAG chunks, metadata and a READY_FOR_RAG / NEEDS_OCR verdict. OCR for scanned pages in 7 languages, page ranges, header/footer removal, passwords, change detection. $0.05 per PDF; failures free.

Pricing

from $33.50 / 1,000 pdf intake checks

Rating

0.0

(0)

Developer

NexGen Watch

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Developer tools

Automation

Security

You can access the PDF Text Extractor — Markdown, Per-Page Text, Tables, OCR & 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": ["https://pdfobject.com/pdf/sample.pdf"],
10    "files": [],
11    "pageRange": "",
12    "maxBytes": 26214400,
13    "maxPages": 300,
14    "userAgent": "Mozilla/5.0 (compatible; NexGenWatchBot/1.0; +https://apify.com/nexgenwatch)",
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("nexgenwatch/pdf-text-intake-auditor").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 Text Extractor — Markdown, Tables, OCR & RAG Chunks API in Python

The Apify API client for Python is the official library that allows you to use PDF Text Extractor — Markdown, Per-Page Text, Tables, OCR & 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 Text Extractor — Markdown, Per-Page Text, Tables, OCR & RAG API in JavaScript

PDF Text Extractor — Markdown, Per-Page Text, Tables, OCR & RAG API through CLI

PDF Text Extractor — Markdown, Per-Page Text, Tables, OCR & RAG OpenAPI definition

PDF Text Extractor — Markdown, Per-Page Text, Tables, OCR & RAG API

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