Ai_Parse_Document in Databricks | Pulling Text and Tabular Data from PDFs

2026-02-03 · Source: Alex The Analyst · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Software Development & Engineering · Depth: Intermediate, long

Summary

This content introduces Databricks' AI Parse Document function, designed to convert unstructured data from various file types, including PDFs and images, into a semi-structured HTML or JSON format. The process is demonstrated using a medical claim PDF containing CPT codes, ICD codes, descriptions, and financial amounts. The tutorial outlines setting up a Databricks catalog and volume, uploading the PDF, and creating a SQL notebook to stage the raw document. It then details using `AI_parse_document` to transform the PDF content and subsequently employs Spark SQL's `lateral view` and `explode` functions to specifically extract tabular data, such as the medical claim details, from the parsed HTML/JSON output. This initial parsing prepares the data for further structuring using the `AI extract` function in a subsequent step.

Key takeaway

For Data Engineers or ML Engineers working with unstructured documents in Databricks, integrating `AI_parse_document` is a crucial first step. This function efficiently transforms diverse file types into a queryable HTML/JSON format, significantly simplifying subsequent data extraction. You should leverage `explode` and `lateral view` to isolate specific data structures, like tables, preparing them for final structuring with `AI extract` to streamline your data ingestion pipelines.

Key insights

Databricks' AI Parse Document converts unstructured documents into semi-structured HTML/JSON for easier data extraction.

Principles

• Stage raw unstructured data in temporary views.
• Use `explode` with `lateral view` for array-to-row transformation.

Method

Upload documents to Databricks volumes, use `AI_parse_document` to convert them to HTML/JSON, then apply Spark SQL's `explode` function with `lateral view` to extract specific tabular data.

In practice

• Process PDFs, images, and documents into HTML/JSON.
• Extract tabular data like medical claims from parsed content.

Topics

• Databricks
• AI_parse_document
• Document Parsing
• Unstructured Data
• Data Extraction

Best for: Data Scientist, Data Engineer, Machine Learning Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Alex The Analyst.