You can access the PDF Text Extractor — RAG Chunks & Page Links 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 = { "urls": ["https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("mr.aql/pdf-page-chunks").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 Text Extractor — RAG Chunks & Page Links API in Python

The Apify API client for Python is the official library that allows you to use PDF Text Extractor — RAG Chunks & Page Links 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 — RAG Chunks & Page Links API in JavaScript

PDF Text Extractor — RAG Chunks & Page Links API through CLI

PDF Text Extractor — RAG Chunks & Page Links OpenAPI definition

PDF Text Extractor — RAG Chunks & Page Links API

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 & Change Monitor

produkdigitalali/pdf-text-extractor-change-monitor

Extract text, page content, metadata, and RAG-ready chunks from PDFs. Monitor content, page, and metadata changes across runs.

ProdukDigitalAli

PDF Text Extractor — Markdown, Tables, OCR & RAG Chunks

nanare-sudo/pdf-text-extractor-rag

Extract text, GFM Markdown, tables (2D arrays + CSV) and heading-aware RAG chunks with page anchors from PDFs. URLs, base64 upload, key-value store, password-protected PDFs, page ranges, OCR fallback (eng/deu/fra/spa) only for pages without a text layer. Failed PDFs are never charged.

Leonardo Berisha

Document OCR & PDF Text API

soilair/document-ocr-api

Extract text from public PDFs and images using native PDF text when available and local Tesseract OCR fallback.

Salih Can Kurnaz

PDF to RAG-Ready Dataset

utilityforgelab/pdf-to-rag-ready-dataset

Convert public text-based PDFs into clean, token-aware RAG chunks with Markdown, page references, metadata, stable document IDs, and ready-to-use Apify Dataset output.

UtilityForgeLab

PDF to Text Extractor — Native Text & Metadata

junipr/pdf-to-text-extractor

Extract text, page metadata, outlines, links, and document info from PDFs with page-level output and automation-friendly exports.

junipr

Searchable PDF OCR — Add a Text Layer to Scanned PDFs

northbound_works/searchable-pdf-ocr

Turn scanned or image-only PDFs into fully searchable, selectable, copy-pasteable PDFs. Keeps the original page image untouched and adds an invisible OCR text layer underneath.

Austin Cooley

PDF OCR Text Extractor — PDFs & Images to Text, 12+ Languages

vivid_astronaut/ocr-pdf-extractor

Extract text from PDFs and images with OCR in 12+ languages, including word-level detail, form fields, and tables. Send a file, get clean structured text — built for document digitization and data-entry automation.

BRAINIALL Team

PDF Text Extractor — text, metadata, per page

x402opklaar/pdf-text-extractor

PDF URLs in, clean text out: full text, per-page text, title/author/page-count metadata. No browser, no OCR overhead — fast digital-PDF extraction. You only pay for PDFs that actually extract; failures are free.

Opklaar

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.