Building an Agentic Pipeline for Bank Statement Extraction | Unstract Document Series
In this video, we explore how to extract data from bank statements of any format—no matter which bank issued them or how their tables are structured—using Unstract's Agentic Prompt Studio, powered by advanced LLMs.
From tightly packed tables and merged cells to varying date formats and numbering systems, see how Unstract handles the toughest bank statement extraction challenges.
What You'll Learn:
✅ Automated Schema and Prompt Generation – Let AI detect and normalize data fields across statements and create a detailed extraction prompts in minutes instead of days, with field-level guidance, edge case handling, and version control
✅ Verified Data Validation – Build a golden dataset to control extraction accuracy, catch mismatches with a visual mismatch matrix, and track project accuracy scores
✅ Complex Table Handling – Extract clean data from tightly packed rows, missing borderlines, merged or nested cells, and deposits/withdrawals split across multiple tables
✅ Ready-to-Use APIs – Skip development entirely with Unstract's pre-built Bank Statement Extraction API, supporting 20+ file formats, 200+ languages, handwriting, and 99% table accuracy
Start for FREE: https://unstract.com/start-for-free/
Schedule a Demo: https://unstract.com/schedule-a-demo/
TRY FOR FREE: Unstract Playground (No signup required): https://playground.unstract.com/
TRY FOR FREE: LLMWhisperer Playground (No signup required): https://pg.llmwhisperer.unstract.com/
Unstract Opensource: https://github.com/Zipstack/unstract
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