PDF OCR Reliability Checker for RAG
Pricing
from $1,400.00 / 1,000 document processeds
Extract text from native and scanned PDFs for RAG pipelines. Every line keeps its page and bounding box, while every page receives a reliability verdict and actionable warnings. Mixed PDFs are handled page by page, so incomplete extraction does not look like success.
You can access the PDF OCR Reliability Checker 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.
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 = { "documentUrls": ["https://example.org/report.pdf"] }9
10# Run the Actor and wait for it to finish11run = client.actor("filnith/document-provenance-ocr").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-startThe Apify API client for Python is the official library that allows you to use PDF OCR Reliability Checker for RAG API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: