AI Data Extraction
Pricing
from $10.00 / 1,000 document processeds
Extract custom data from PDF, DOCX, and images using AI. Turn invoices, forms, and other documents into structured, validated JSON. Simply provide document URLs and define the fields you need.
You can access the AI Data Extraction 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 "documents": [{10 "url": "https://example.com/invoice.pdf",11 "filename": "invoice.pdf",12 }],13 "fields": [14 {15 "name": "invoice_number",16 "description": "The unique invoice identifier",17 "type": "string",18 },19 {20 "name": "invoice_date",21 "description": "The invoice issue date",22 "type": "date",23 },24 {25 "name": "supplier_name",26 "description": "The legal name of the supplier",27 "type": "string",28 },29 {30 "name": "total_amount",31 "description": "The final amount including taxes",32 "type": "number",33 },34 ],35}36
37# Run the Actor and wait for it to finish38run = client.actor("obaskly/ai-data-extraction-api").call(run_input=run_input)39
40# Fetch and print Actor results from the run's dataset (if there are any)41print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")42for item in client.dataset(run.default_dataset_id).iterate_items():43 print(item)44
45# 📚 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 AI Data Extraction API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: