xberg-picking-a-format
Goldziher/kreuzberg/skills/xberg-picking-a-format/SKILL.md
Use when choosing an output format for extracted documents — plain text, markdown, djot, HTML, JSON, or DocTags. Maps consumer (LLM, parser, archive) to the right `--format` / `--content-format` pair.
Skill9.4k starsChanged 3 months ago
What's in it
- Picking a format
- Decision tree
- Examples
- When in doubt
- Token-reduction (orthogonal)
---
description: Use when choosing an output format for extracted documents — plain text, markdown, djot, HTML, JSON, or DocTags. Maps consumer (LLM, parser, archive) to the right `--format` / `--content-format` pair.
name: xberg-picking-a-format
---
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# Picking a format
Xberg 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`, `toon` | `text` (`extract`), `json` (`batch`) |
| `--content-format` | How extracted content is rendered inside `result` | `plain`, `markdown`, `djot`, `html`, `json`, `doctags` | `plain` |
| `--token-reduction` | Strip whitespace / boilerplate for LLM contexts | `off`, `light`, `moderate`, `aggressive`, `maximum` | `off` |
`--format json` returns an envelope wrapping the `ExtractedDocument` — the
document lives under `.result` for `extract` and under `.results[]` for
`batch`, with `content`, `metadata`, `tables`, and `images` as fields of
that nested document. `--format text` prints just `content`.
`--content-format` is what shows up inside that `content` field.
## Decision tree
```text
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:
```bash
xberg extract paper.pdf --content-format markdown
```
Index a corpus into a RAG store with tables and headings preserved:
```bash
xberg batch docs/*.pdf --format json --content-format markdown \
| jq -c '.result | {content: .content, tables: .tables}'
```
Strip a file to bare text for a token-tight summarizer:
```bash
xberg extract long.pdf \
--content-format plain \
--token-reduction moderate
```
Pull metadata only, ignore content:
```bash
xberg extract file.pdf --format json | jq '.result.metadata'
```
## When in doubt
- **Default to `markdown`** as the content format. It is the best
compromise across LLMs, RAG, and human review, and Xberg 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.
- Reach for `json` for a heading-driven content tree, or `doctags` for Docling-compatible output.
## 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 `xberg.toml`.
More agent context in Goldziher/kreuzberg
6 other files this repository gives its agents.
Skill
- xberg-batch-extractionskills/xberg-batch-extraction/SKILL.md
- xberg-chunkingskills/xberg-chunking/SKILL.md
- xberg-extracting-keywordsskills/xberg-extracting-keywords/SKILL.md
- xberg-extracting-tablesskills/xberg-extracting-tables/SKILL.md
- xberg-extracting-with-ocrskills/xberg-extracting-with-ocr/SKILL.md
- xbergskills/xberg/SKILL.md
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