batch-extraction
GitHub批量提取技能,支持多文件并行处理、共享配置、单文件覆盖及错误恢复。通过xberg batch命令实现高效文档解析,适用于大规模数据预处理和LLM摄入场景。
Trigger Scenarios
Install
npx skills add xberg-io/xberg --skill batch-extraction -g -y
SKILL.md
Frontmatter
{
"name": "batch-extraction",
"description": "Use when extracting from many files at once with shared config, bounded parallelism, per-file overrides, and error recovery. Covers the `batch` command, `--file-configs`, `--max-concurrent`, and output layout."
}
Batch extraction
Use this when processing a directory or glob of documents in one pass.
xberg batch shares one extraction config across every file, runs
extractions concurrently, and returns one structured array — failures on
individual files do not abort the run.
Basic usage
# Glob expands to many paths; results come back as a JSON array (default)
xberg batch *.pdf
# Mixed formats, markdown content for LLM ingestion
xberg batch docs/*.docx --content-format markdown
# Recurse with the shell, then extract
xberg batch $(find ./corpus -name '*.pdf')
batch defaults to --format json (vs --format text for single
extract). Each array entry is a full extraction result, so downstream
code can index by position into the input path list.
xberg batch reports/*.pdf \
| jq '.[] | {chars: (.content | length), mime: .mime_type}'
Parallelism
--max-concurrent caps how many files extract at once. When omitted, the scheduler derives document concurrency from the total thread budget. Lower it on memory-constrained hosts or when OCR/ML
models are active, since each in-flight extraction holds its own buffers.
Layout-heavy batches are further limited (1 concurrent extraction for
all-PDF-layout batches, 2 for mixed layout):
# Cap at 4 concurrent extractions
xberg batch scans/*.pdf --ocr true --max-concurrent 4
--max-threads additionally caps total internal threads (Rayon, ONNX
intra-op, the batch semaphore) for tightly constrained environments:
xberg batch *.pdf --max-concurrent 2 --max-threads 4
Per-file config overrides
A single shared config does not always fit. --file-configs points at a
JSON file mapping each path to its own override object, merged on top of
the shared config for that file only:
{
"scan.pdf": { "force_ocr": true },
"report.pdf": { "output_format": "markdown" },
"data.xlsx": { "output_format": "json" }
}
xberg batch scan.pdf report.pdf data.xlsx --file-configs overrides.json
Keys are file paths (matching the paths passed on the command line); values are per-file extraction config objects in snake_case, the same shape as a config file.
Output layout
For text/toon output with image extraction, --output-dir controls where
referenced image files (e.g. image_0.png) are written; the directory
must already exist. JSON output embeds image bytes inline and ignores
--output-dir.
mkdir -p out/images
xberg batch slides/*.pptx --extract-images true --output-dir out/images --format text
Error recovery
Batch extraction is fault-tolerant per file: one unreadable or corrupt
document does not stop the rest. Inspect results for partial content and
surfaced errors rather than relying on the process exit code alone. Pair
with --max-concurrent to avoid exhausting memory when a few large files
sit in a big batch.
Shared config
Every extract flag also applies to batch (OCR, chunking, layout,
content format, etc.) and is shared across all files unless a
--file-configs entry overrides it:
xberg batch invoices/*.pdf \
--layout --layout-table-model slanet_wireless \
--content-format markdown --max-concurrent 8
A config file works too and auto-discovers from the cwd upward:
output_format = "markdown"
[ocr]
backend = "tesseract"
language = "eng"
xberg batch corpus/*.pdf --config xberg.toml
Programmatic access
From Python, extract_batch takes a list of ExtractInputs and returns one
envelope whose results array holds a document per input:
from xberg import ExtractInput, extract_batch, ExtractionConfig
config = ExtractionConfig(output_format="markdown")
inputs = [ExtractInput(uri=p) for p in ["a.pdf", "b.docx", "c.xlsx"]]
output = await extract_batch(inputs, config)
for doc in output.results:
print(len(doc.content))
Per-input overrides go on ExtractInput.config (a FileExtractionConfig).
Node.js mirrors this with extractBatch; Rust uses extract_batch(inputs, &config).
See references/python-api.md, references/nodejs-api.md, and
references/rust-api.md in the sibling xberg skill.
MCP
When the xberg MCP server is registered, prefer the
extract_batch tool over shelling out — it takes an array of input objects
and a config object and returns structured results directly.
Common pitfalls
- Default format differs —
batchdefaults to--format json,extractto--format text. Set--formatexplicitly if a script depends on one shape. --output-dirmust exist — the CLI does not create it.- Memory blowups — large batches with OCR/layout active may need an explicit
--max-concurrentceiling. --file-configspath keys — must match the paths as passed on the command line, not absolute-resolved variants.
See references/cli-reference.md for the full batch flag set.
Version History
- d8e4815 Current 2026-08-28 18:31
- 531e0f7 2026-08-20 07:47


