2025’s Hacks to Process Any Complex Document With AI

TL;DR

1. Docsumo extracts data from long, complex documents like offering memorandums with just a few clicks.
2. You can define custom fields and table structures for your document type—no coding needed.
3. Extracted data includes both key-value pairs and detailed tables (e.g., financials, demographics).
4. Docsumo handles inconsistencies across different files with ease.
5. You can process multiple documents at once, accurately and at scale.

Offering memorandums is rich in data but a nightmare to process manually. These documents often exceed 20 pages, filled with building specs, financials, and demographic details. Whether you’re in real estate, finance, or RPA operations, extracting consistent, structured data from them is critical—but also tedious.

With Docsumo’s AI-based document processing, you can now extract all the key data including tables with almost no setup. This guide walks you through how to do it, why it works so well, and what to keep in mind when working with large and variable document types like these.

1. What is an offering memorandum, and why is it difficult to extract data from it?

A: An offering memorandum is a detailed real estate or investment document often 20+ pages long, with financials, property details, maps, and demographic stats. It’s difficult to process because the layout varies and includes both unstructured and tabular data.

2. How does Docsumo simplify extraction from such complex documents?

A: Docsumo lets you create a custom document type, define fields and tables, and auto-extract the data. It uses pre-trained AI to identify content structures with minimal manual intervention. Want to see how it works? Watch the step-by-step video demo to get started quickly.

3. What kinds of data can I extract from these documents?

A: You can extract structured fields like sales price, property address, lot size, and even tables such as demographics showing population stats by distance (e.g., 1-mile, 2-mile, 3-mile radius).

4. Can Docsumo extract data from inconsistent layouts?

A: Yes. Even if some files have missing data points (e.g., no 2-mile demographic data), Docsumo still processes them accurately. The AI intelligently fills in only what's available without errors.

5. Do I need to configure every document manually?

A: Not at all. Upload one sample document, define your desired fields and tables, and the same setup applies to all future uploads of that type. No need to configure each file.

6. How to define demographic data as a table?

A: You convert the demographic section into a table field, then add column headers (e.g., Detail, 1 Mile, 2 Miles, 3 Miles). Docsumo will extract rows under each column based on that setup.

7. What happens if I don’t need all the auto-extracted fields?

A: You can easily delete irrelevant fields after auto-extraction. This keeps your output clean and focused only on the data you care about.

8. Is coding required to set this up?

A: No. Everything happens through a point-and-click interface. You can extract structured data from highly unstructured data in documents without writing a single line of code.

9. Can multiple offering memorandums be processed at once?

A: Yes. You can bulk upload documents and let the system extract all key fields and tables in parallel. This is especially useful for high-volume workflows in underwriting and diligence.

10. How accurate is the data extraction, especially for numbers?

A: Docsumo allows you to mark fields as number fields (instead of string), which ensures that extracted values are formatted correctly for calculations or uploads into systems like CRMs or ERPs.

Final Thoughts

Complex documents like offering memorandums no longer need to be a bottleneck. With Docsumo, what used to take hours can now be done in minutes—and with better accuracy. Whether you're processing one file or hundreds, the process is fast, scalable, and fully customizable.

Start extracting complex data from offering memorandums in seconds. Sign up and try Docsumo today.