AnyParser provides an API to accurately extract unstructured data (e.g., PDFs, images, charts) into a structured format.

To get started, generate your API key from the Sandbox Account Page. Each account comes with 100 free pages.

⚠️ Note: The free API is limited to 10 pages/call.

For more information or to inquire about larger usage plans, feel free to contact us at info@cambioml.com.

To set up your API key (CAMBIO_API_KEY), follow these steps:

1. Create a .env file in the root directory of your project.
2. Add the following line to the .env file:

CAMBIO_API_KEY=0cam************************ 

First, create and activate a new Conda environment, then install AnyParser:

conda create -n any-parse python=3.10 -y conda activate any-parse pip3 install any-parser

Use your API key to create an instance of AnyParser. Make sure you’ve set up your .env file to store your API key securely:

import os from dotenv import load_dotenv from any_parser import AnyParser # Load environment variables load_dotenv(override=True) # Get the API key from the environment example_apikey = os.getenv("CAMBIO_API_KEY") # Create an AnyParser instance ap = AnyParser(api_key=example_apikey)

To extract data synchronously and receive immediate results:

# Extract content from the file and get the markdown output along with processing time markdown, total_time = ap.parse(file_path="./data/test.pdf")

For asynchronous extraction, send the file for processing and fetch results later:

# Send the file to begin asynchronous extraction file_id = ap.async_parse(file_path="./data/test.pdf") # Fetch the extracted content using the file ID markdown = ap.async_fetch(file_id=file_id)

Check out these examples to see how you can utilize AnyParser to extract text, numbers, and symbols in fewer than 10 lines of code!

Are you an AI engineer looking to accurately extract both the text and layout (e.g., table of contents or Markdown headers hierarchy) from a PDF? Check out this 3-minute notebook demo.

Are you a financial analyst needing to accurately extract numbers from a table within an image? Explore this 3-minute notebook example.