How do I handle document extraction when hundreds of organizations use different formats?

Direct answer

When hundreds of organizations send documents, the wrong approach is to depend entirely on a different coordinate-based template for every sender.

A more scalable workflow defines the fields the business needs, classifies incoming documents, extracts by meaning and context, and uses exceptions or custom instructions for sender-specific edge cases.

What the workflow should include

The workflow should separate document type from sender format: one sender changing a section name or moving a field should not break the entire process.

You still need a review loop for new formats, but the review should tune instructions and validation rules instead of forcing operations teams back into manual keying.

How Lido helps

Lido uses AI extraction, document classification, and configurable instructions so teams can support many incoming layouts while preserving one downstream data structure.

That helps teams automate document intake from many external partners without maintaining hundreds of brittle templates.

Example workflow

1. Define the common output fields across all sender formats.
2. Classify incoming documents by business type before extraction.
3. Use validation rules to catch missing or inconsistent values.
4. Create separate workflows only for genuinely different document types or rare edge cases.