extracting-tables
Use when extracting tabular data from PDFs, spreadsheets, or images. Covers layout-aware table detection, table model selection, output formats (mar…
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技能内容
Extracting tables
Use this when the user wants structured tabular data — financial
statements, scientific tables, invoices, spreadsheet-style PDFs. Kreuzberg
detects tables via a layout model (RT-DETR v2) and reconstructs cell
structure with a configurable table model.
Basic usage
# Markdown tables embedded in the content stream
kreuzberg extract report.pdf --layout --content-format markdown
# Structured JSON output, tables appear under result.tables
kreuzberg extract report.pdf --layout --format json
--layout turns on layout-aware extraction; without it, tables fall back
to plain text reflow and you lose cell boundaries.
Output shapes
Two surfaces, picked via --format (CLI shape) and --content-format
(content rendering):
- Markdown tables in
content—--content-format markdown. Tables
appear inline as | col | col | blocks. Good for LLM ingestion.
- Structured
tablesarray —--format json. Each entry has
cells[][] (rows × cols), markdown (pre-rendered), page_index,
bbox. Use this when downstream code needs exact cell access.
Both are populated at once when --layout is on. The tables array is
always structured; the content stream switches representation.
kreuzberg extract financials.pdf --layout --format json \
| jq '.tables[] | {page: .page_index, rows: (.cells | length)}'
Table models
--layout-table-model picks the reconstruction backend:
| Model | Best for | Notes |
| ------------------ | ----------------------------------------------------- | ------------------------------------------- |
| tatr | dense complex tables (academic, financial) | Default. Heaviest, highest accuracy. |
| slanet_auto | dispatches per-table to wired/wireless | Good when table styles are mixed. |
| slanet_wired | tables with visible borders | Faster than tatr. |
| slanet_wireless | tables without borders (whitespace-separated) | For invoices, simple grids. |
| slanet_plus | hybrid wired / wireless | Lighter than slanet_auto. |
| disabled | layout detection only, no table structure | Use to skip table model cost. |
kreuzberg extract bank-statement.pdf \
--layout --layout-table-model tatr --content-format markdown
Drop --layout-confidence when the layout model misses tables (default
threshold ~0.5):
kreuzberg extract noisy-scan.pdf --layout --layout-confidence 0.3
Spreadsheets
.xlsx, .ods, .csv, .tsv are extracted by dedicated parsers — no
layout model needed. Each sheet becomes a markdown table (or structured
table) automatically:
kreuzberg extract workbook.xlsx --content-format markdown
kreuzberg extract data.csv --format json
Pass --no-cache=true only when iterating on the same file with different
configs.
Config file alternative
# `output_format` in config files equals `--content-format` on the CLI.
output_format = "markdown"
[layout_detection]
enabled = true
confidence_threshold = 0.5
table_model = "tatr"
Then:
kreuzberg extract report.pdf --format json
Programmatic access
From Python, structured tables live on result.tables:
from kreuzberg import extract_file_sync, ExtractionConfig, LayoutDetectionConfig
config = ExtractionConfig(
layout_detection=LayoutDetectionConfig(enabled=True, table_model="tatr"),
output_format="markdown",
)
result = extract_file_sync("report.pdf", config=config)
for table in result.tables:
print(table.markdown) # rendered markdown
print(table.cells[0][0]) # cell access
Node.js mirrors this (extractFile, result.tables, camelCase fields).
See references/python-api.md and references/nodejs-api.md in the
sibling kreuzberg skill for full type signatures.
Known limitations
- Merged cells — reconstructed as repeated values across the spanned
region; the merge is not preserved as metadata in v0.1.
- Rotated tables — enable
--ocr-auto-rotate truefor image-based
PDFs before extraction.
- Nested tables — flattened. Detection succeeds; structural nesting is
lost.
- Multi-page tables — each page yields a separate
tables[]entry.
Stitch by matching column headers if needed.
- ONNX Runtime required — layout and table models are unavailable in
WASM builds and on the Android x86_64 emulator; native targets ship
full support.
Common failure modes
- Empty
tableswith--layouton — confidence threshold too high or
table model mismatched. Drop --layout-confidence to 0.3, try
--layout-table-model tatr.
- Markdown tables look ragged — switch
--layout-table-modelto
slanet_wired for bordered grids or slanet_wireless for invoices.
- Slow extraction —
tatris heavy. Useslanet_autoor
slanet_plus as a default; reach for tatr only when accuracy matters.
See references/cli-reference.md for the full layout flag set and
references/advanced-features.md for the layout pipeline internals.
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plugins/kreuzberg-dev/plugins/plugins/kreuzberg/skills/extracting-tables/SKILL.md