Skip to main content

Xberg

crewai-xberg

CrewAI tools backed by Xberg. Give an agent document intelligence: extract text, metadata, keywords, entities, and summaries from 107 file formats — PDF, DOCX, XLSX, HTML, images with OCR, and more. Extraction is async at the core; the batch tool routes many files through Xberg's extract_batch in a single native call.

Install

pip install crewai-xberg

Requires Python 3.10+.

Tools

Tool Input Returns
XbergExtractTool file_path Extracted text, plus any requested rich results.
XbergExtractBatchTool file_paths One section per document via extract_batch, then errors.
XbergExtractMetadataTool file_path Title, authors, dates, page/table/image counts, format info.

Use

from crewai import Agent
from crewai_xberg import XbergExtractTool, XbergExtractBatchTool, XbergExtractMetadataTool

agent = Agent(
    role="Document Analyst",
    goal="Extract and analyze document content",
    backstory="You process documents of any format.",
    tools=[XbergExtractTool(), XbergExtractBatchTool(), XbergExtractMetadataTool()],
)

Call a tool directly to see its output:

tool = XbergExtractTool()

# Plain extraction
text = tool.run(file_path="report.pdf")

# Force OCR and surface keywords, entities, and a summary
enriched = tool.run(
    file_path="scan.pdf",
    output_format="markdown",
    force_ocr=True,
    extract_keywords=True,
    extract_entities=True,
    summarize=True,
)

# Many files in one batched extraction
combined = XbergExtractBatchTool().run(file_paths=["report.pdf", "notes.docx", "sheet.xlsx"])

Options

Both extraction tools accept the same options. Each toggles an Xberg ExtractionConfig capability:

Option Default Effect
output_format "markdown" plain, markdown, or html.
force_ocr False Run OCR on every page, even with a text layer.
chunk False Split into semantic chunks; report the chunk count.
extract_keywords False Append a keyword list.
extract_entities False Append named entities (people, orgs, locations).
summarize False Append a short summary.

Detected languages and tables are surfaced automatically when present.

Async

The tools are async at the core. Inside an event loop, await tool.arun(...); the synchronous run bridges to it and must not be called from a running loop.

Errors

A missing file raises from Xberg directly. In batch mode, per-file failures land in ExtractionResult.errors and are reported in a trailing Errors section instead of aborting the batch.

For the full API, see the Xberg documentation.

Release files for crewai-xberg 1.2.8

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for crewai-xberg 1.2.8
File Size Uploaded
crewai_xberg-1.2.8.tar.gz 10.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for crewai-xberg 1.2.8
File Interpreter ABI Platform
crewai_xberg-1.2.8-py3-none-any.whl Python 3 none any Details

Total release size: 18.6 kB

Release files / crewai_xberg-1.2.8.tar.gz

Download URL crewai_xberg-1.2.8.tar.gz
Size 10.7 kB
Tags Source
SHA-256 checksum
How to use checksums
8917f5ab444393ed0016638beb1150c6cbc63ec098c6b44080a1a937b87aeaf6
BLAKE2b-256 checksum
How to use checksums
4bcfbb328617d8dc5804becb22afaa15ed2981b75918b8c3aac8ff56615c86da
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.12.18 {"installer":{"name":"uv","version":"0.12.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release files / crewai_xberg-1.2.8-py3-none-any.whl

Download URL crewai_xberg-1.2.8-py3-none-any.whl
Size 8.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b3c1c358e538070d404007b33505d1ff160708712f1fde650978b4b84b20c366
BLAKE2b-256 checksum
How to use checksums
c28b2a3d80dd49a6296c6df0f276b3ca52f930185957c01abdf1cac9336cc3e1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.12.18 {"installer":{"name":"uv","version":"0.12.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page