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anyformat works with the same extracted data, but presents it in different representations, depending on what you want to do next.

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CSV Output

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Structured tabular data

CSV output represents extracted data as a table:
  • Each document becomes one or more rows
  • Each field becomes a column
  • Subtables are expanded in a consistent way

CSV is designed for

  • Spreadsheets
  • Imports
  • Data analysis
  • Sharing with non-technical users
Think of CSV as: “Structured data optimized for tables.”

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Excel Output

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Structured data with a spreadsheet interface

Excel output contains the same structured data as CSV, but packaged in a format that:
  • Is easier to open for business users
  • Preserves table structure
  • Supports multiple sheets (for subtables or metadata)

Excel is useful when

  • Manual review is part of the process
  • Data is shared across teams
  • You want minimal friction for non-technical stakeholders

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JSON Output

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Structured data for systems and automation

JSON output represents extracted data as a structured object. Conceptually:
  • Fields become keys
  • Nested structures are preserved
  • Data types remain explicit

JSON is useful when

  • Integrating with other systems
  • Building automation
  • Preserving hierarchical data (like subtables)
Think of JSON as: “Structured data optimized for machines.”

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Markdown Output

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Human-readable extraction view (review-only)

Markdown output is a human-readable representation of the extraction result. It is used to:
  • Inspect what was extracted
  • Verify that parsing worked correctly
  • Review results per document
Important to know:
  • Markdown is not a bulk export format
  • It’s generated per document
  • It exists to help you understand the extraction, not to move data elsewhere
Think of Markdown as: “A debugging and review view for humans.”

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What’s next?

Choosing the Right Output

Pick the best format for your use case

Using Outputs Outside the Platform

Export and integrate with external systems