PDF to Markdown & Document to Text for LLM/RAG, with OCR
Pricing
Pay per usage
Convert PDF, Word, PowerPoint, Excel, CSV, HTML, EPUB and images to clean Markdown or text, with tables, OCR for scans and RAG-ready chunks. Links or uploaded files, one row per document.
You can access the PDF to Markdown & Document to Text for LLM/RAG, with OCR 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "sources": [10 "https://nvlpubs.nist.gov/nistpubs/CSWP/NIST.CSWP.04162018.pdf",11 "https://raw.githubusercontent.com/mwilliamson/python-mammoth/f3b7b9fc73fdbffe6ebac77e6b3ac6c418ee33d9/tests/test-data/tables.docx",12 "https://raw.githubusercontent.com/tesseract-ocr/test/232ff181c66516116ec0e84c4963f70de15050fd/testing/phototest.tif",13 ],14 "ocrLanguages": ["eng"],15 "maxPagesPerDocument": 5,16}17
18# Run the Actor and wait for it to finish19run = client.actor("tinlark/document-to-markdown").call(run_input=run_input)20
21# Fetch and print Actor results from the run's dataset (if there are any)22print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")23for item in client.dataset(run.default_dataset_id).iterate_items():24 print(item)25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use PDF to Markdown & Document to Text for LLM/RAG, with OCR API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: