01

Separate parsing from business extraction

Parsing answers what content and structure are present. Business extraction answers which fields matter to a particular workflow. Keeping them separate makes extraction prompts or schemas reusable across file formats and lets operators inspect the normalized source when a field is wrong.

DocParse produces the intermediate Markdown and DocIR record. A downstream extractor can then select relevant pages or blocks and validate fields against a business schema.

02

Route exceptions intentionally

Do not treat every parse warning as a failed business document, or every successful HTTP response as trustworthy data. Define thresholds for empty content, low-confidence OCR, missing required sections, and table ambiguity. Route uncertain cases to human review with the source page attached.

Lifecycle events and parser provenance make these rules observable. Record whether failure occurred during upload, route selection, parsing, field extraction, validation, or approval.

  • Deterministic processing for clean high-volume cohorts.
  • Approved higher-fidelity paths for visually complex exceptions.
  • Human review for policy-defined uncertainty.
  • Idempotent reprocessing after a corrected source or parser update.
03

Build a reversible workflow

Use stable job and document identifiers. Store extracted business fields separately from the parser artifact and record the schema version that produced them. If extraction rules change, rerun from retained normalized content when allowed rather than reopening every raw source.

Explicit cancellation and purge keep operational state and retention state distinct. Canceling work should not imply deletion; deletion should be an auditable action with appropriate scope.

Frequently asked questions

Questions teams ask before building

Is DocParse a field extraction product?

DocParse primarily normalizes documents into Markdown and DocIR. Business-specific field extraction can use that normalized record in a separate validated step.

How should uncertain OCR be handled?

Define document-specific thresholds, retain page and warning evidence, and route uncertain cases to review rather than silently accepting fields.

Can failed workflows be retried safely?

Use idempotency keys and explicit workflow states. Retry transient parsing failures within limits and create a new version when source or processing policy changes.