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README.md

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@@ -10,7 +10,7 @@ A common Excel parsing workflow: Upload the file to SharePoint → wait for Powe
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That approach works, but **slow**, **inefficient**, and **large tables often stall**. It doesn’t have to be like that.
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This **Document Processor PCF** extracts tables locally — in a blink (nah, just kidding 😄) and returns clean JSON you can immediately use in your app or send to downstream Power Automate flows, agents, or other services. ⚙️
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This **Document Processor PCF** extracts tables locally, lightning fast and returns clean JSON you can immediately use in your app or send to downstream Power Automate flows, AI Builder, agents, or other services. ⚙️
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**🔎 Dynamic Search Mode**
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- Scans **all worksheets** (across multiple files) to detect **every table**.
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- A “table” = any **continuous** block of cells with **no blank rows or columns** interrupting it.
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> Originally a tool of my MCP server, this lets you extract all tables and hand them to your Agent for deeper analysis and richer context. 🤝
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> Originally a tool of my MCP server, this lets you extract all tables and hand them to AI Builder, or your remote agent for deeper analysis and richer context. 🤝
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<img width="1101" height="454" alt="dynamic" src="https://github.com/user-attachments/assets/1b00bdbe-ac4a-4a60-9f71-6703dc8eaffb" />
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Dynamic mode parses all tables across all sheets

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