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Box + Snowflake turn financial documents into queryable history, without losing the path back to the source. Most financial research workflows follow the same pattern: extract details from documents, write a summary, copy numbers into another system, and hope everything can be retraced when someone asks where a figure... came from. This Python demo closes that loop. Box Extract transforms PDFs into structured financial data while preserving confidence scores and page references. Box Doc Gen produces a readable, sourced memo. Snowflake stores common fields alongside the complete JSON payload, creating queryable records that can be compared across quarters or companies. The result is unstructured documents become useful data while every number remains connected to its source.show more

Box

80,255 subscribers

161,878 views • 21 days ago •via X (Twitter)

Anya Rossi• Live Now

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4 Comments

Jacob Weaver21 days ago

@Snowflake @41five continuing to put out fire content

Carter Rabasa21 days ago

@Snowflake Connecting unstructured source of truth to downstream structured systems is hard, but insanely valuable when done right.

Olga Stefaniuk21 days ago

@Snowflake Read a full story here:

why21 days ago

@Snowflake The source traceability is the key piece here. Queryable history is useful, but being able to verify every number matters even more in financial workflows.

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