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Address parsing & enrichment

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How to automate address parsing and enrichment

Whether you're working with emails from carriers and vendors or pulling data from your ERP or CRM, you've likely spent time manually cleaning up address data. That might involve breaking apart the city, state, and country (which is especially fun when the sender doesn’t include commas), or manually Googling addresses to find zip codes.

By tapping into the wealth of address data stored across LLMs, Parabola’s address parsing software makes it easy to go from unstructured address to fully enriched address, even if the data comes in with key details (like state or zip code) missing. Add an Extract with AI step to your Flow to extract address, city, state, zip code, and country code from a cell — even if all of those values don't exist in the cell you’re pulling from.

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Why Parabola
Turn plain English into automation.

With Parabola’s NLP-powered engine, anyone on the team can direct workflows, change processes, and analyze results – just by explaining their needs.
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In a world where efficiency is a key contributor to effectiveness, Parabola provides an unlock for businesses of all sizes in synthesizing large volumes of information into key insights."
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Address parsing & enrichment FAQs
What is address parsing and enrichment?
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Parsing addresses and enriching with zip codes involves taking unstructured address data and extracting key details — such as the address, city, state, zip code, and country code. While this can be especially challenging through traditional spreadsheet methods, leveraging LLMs for extraction allows you to accurately parse information and output a structured response — even if every field that you're trying to extract doesn’t exist in the original dataset (ex. missing state).

How to parse and enrich addresses in Parabola?
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  1. Import your address data from an email, PDF, CRM, etc. using a step like Pull from inbound email or Pull from Salesforce.
  2. Add an Extract with AI step to the canvas.
  3. In the step settings, select the column(s) containing your address data.
  4. Define the columns that you'd like to create (ex. address, city, etc.).
  5. Fine-tune the step settings until you've achieved your desired results, making improvements like adding example values or column-specific context.
Fips for parsing and enriching addresses in Parabola?
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  • The more context you provide the Extract with AI step, the better your address parsing results will be. For instance, you may want to provide example values in the address or zip code columns and add additional context when extracting values like the country.

What other resources are available on address parsing and enrichment?
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  • To start building your own address parsing and zip code enrichment Flow, use the Template above.
  • Learn more about our AI steps in this Parabola University lesson here.