Document Parser Regression Suite
Build parser regressions that catch extraction and conversion failures before release.
document
code
Define the Output Contract
Document parsing quality depends on clear expectations: preserved text order, table extraction behavior, metadata fields, and error handling for corrupted files. Encode these into explicit test assertions.
Curate Representative Fixtures
Your fixture set should evolve with production incidents. Every incident should add at least one new fixture and test assertion.
- Clean files for baseline behavior.
- Large files for performance and memory.
- Malformed files for parser resilience.
- Locale/encoding variants for text correctness.
Measure Drift Over Time
When upgrading parsing libraries, compare extracted outputs against snapshots and inspect semantic drift. A small character-level diff can still represent major business impact when invoices, legal terms, or identifiers change.