1. Overview
  2. Getting started
  3. 🤔 What's the difference between Parsio and Airparser?

🤔 What's the difference between Parsio and Airparser?

We launched and maintain 2 document extraction services: Parsio and Airparser, which use different technologies and are designed for different use cases.

Parsio

Parsio offers 3 parsers tailored for various use cases:

  • Template-based: Suitable for emails and documents with a consistent structure (ideal for parsing machine-generated transactional emails).

  • AI-powered: Uses pre-trained AI models (ideal for parsing Invoices, Business cards, ID documents, Receipts, PDF tables and more).

  • GPT-powered: For emails and documents with changing layout (ideal for parsing human-generated emails and documents).

To learn more about the specific use cases for Parsio, you can refer to our documentation.

Airparser

Airparser is an advanced GPT-powered document parser that stands out with its capabilities:

  • Allows you to define a structured extraction schema instead of relying on text prompts.

  • Supports OCR (Optical Character Recognition).

  • Recognizes handwritten notes.

Why create Airparser as a separate product?

We introduced Airparser as a separate product to enhance our ability to iterate and add new GPT-related features without affecting existing Parsio data flows and algorithms.

Choosing the Right Tool

Here are some examples to help you decide which product to use, depending on the type of document you need to parse. Please note that this list is not exhaustive:

Parsio is suitable for:

  • Machine-generated emails with consistent layouts.

  • Invoices and receipts.

  • Business cards.

  • Contracts.

  • Email signature parsing.

Airparser is suitable for:

  • Human-generated emails and documents.

  • Documents with frequently changing layouts.

  • CVs and resumes.

  • Contacts.

  • Email signature parsing.

For more detailed information and usage guidelines, refer to the documentation and resources provided for each tool.

Don't hesitate to contact us to discuss your specific use case.


Was this article helpful?