AGENT SKILL

picking-a-format

Use when choosing an output format for extracted documents — text, markdown, djot, html, or JSON. Maps consumer (LLM, parser, archive) to the right `--format` / `--content-format` pair.

License 许可
Apache-2.0
最近更新
2026-11-11
Stars
★ 1.6k
Forks
474

01 前言 Front Matter

name
picking-a-format
description
Use when choosing an output format for extracted documents — text, markdown, djot, html, or JSON. Maps consumer (LLM, parser, archive) to the right `--format` / `--content-format` pair.

03 SKILL.md 正文

Picking a format

Kreuzberg has two orthogonal format knobs. Get them right up front and the downstream code stays simple.

Knob What it controls Values Default
--format How the CLI prints the result text, json text (extract), json (batch)
--content-format How extracted content is rendered inside result plain, markdown, djot, html plain
--token-reduction Strip whitespace / boilerplate for LLM contexts off, light, moderate, aggressive off

--format json always returns the full ExtractionResult (content + metadata + tables + images). --format text prints just content. --content-format is what shows up inside that content field.

Decision tree

Who consumes the output?
├── LLM (Claude, GPT, Gemini, local) — embed/prompt context
│       --format text --content-format markdown
├── Vector store / RAG indexer
│       --format json --content-format markdown
│       (markdown preserves structure for chunking)
├── Downstream parser that expects machine-readable JSON
│       --format json --content-format plain
│       (cleanest text + structured metadata)
├── Human review / archival
│       --format text --content-format markdown
├── HTML re-rendering / web display
│       --format json --content-format html
├── Lossless intermediate for pandoc / academic tooling
│       --format json --content-format djot
└── Token-budget-constrained pipeline
        --format text --content-format plain
        (drops markup; add --token-reduction moderate for further savings)

Examples

Feed a PDF directly into an LLM:

kreuzberg extract paper.pdf --content-format markdown

Index a corpus into a RAG store with tables and headings preserved:

kreuzberg batch docs/*.pdf --format json --content-format markdown \
  | jq -c '.[] | {path: .metadata.path, content: .content, tables: .tables}'

Strip a file to bare text for a token-tight summarizer:

kreuzberg extract long.pdf \
  --content-format plain \
  --token-reduction moderate

Pull metadata only, ignore content:

kreuzberg extract file.pdf --format json | jq '.metadata'

When in doubt

  • Default to markdown as the content format. It is the best compromise across LLMs, RAG, and human review, and Kreuzberg has the most faithful renderer for it.
  • Reach for plain only when downstream cannot tolerate any markup.
  • Reach for djot only if you're already in a djot/pandoc pipeline.
  • Reach for html only when re-rendering for the web.

Token-reduction (orthogonal)

--token-reduction collapses whitespace, strips repeated headers/footers, and trims boilerplate. It composes with any --content-format:

  • off (default), light, moderate, aggressive, maximum.

Use moderate as a safe starting point for LLM context windows. maximum is lossy — verify before relying on it.

See references/cli-reference.md for the full flag set and references/configuration.md for the equivalent output_format and token_reduction keys in kreuzberg.toml.

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