Skip to main content

Swarmauri Logo

PyPI - Downloads Hits PyPI - Python Version PyPI - License PyPI - swarmauri_parser_slate


Swarmauri Parser Slate

PDF text parser for Swarmauri using Slate3k (a lightweight PDFMiner wrapper). Extracts text from each PDF page and returns Document instances with page metadata.

Features

  • Opens PDFs with Slate3k and returns a Document per page (content = text, metadata includes page_number and source).
  • Accepts file paths (string). Raises a TypeError when given anything else to prevent silent failures.
  • Returns an empty list if Slate encounters parsing errors, logging the exception to stdout.

Prerequisites

  • Python 3.10 or newer.
  • Slate3k depends on pdfminer.six; make sure operating-system libraries required by PDFMiner (e.g., libxml2, libxslt on Linux) are installed.
  • Read access to the PDF path you pass in.

Installation

# pip
pip install swarmauri_parser_slate

# poetry
poetry add swarmauri_parser_slate

# uv (pyproject-based projects)
uv add swarmauri_parser_slate

Quickstart

from swarmauri_parser_slate import SlateParser

parser = SlateParser()
documents = parser.parse("pdfs/handbook.pdf")

for doc in documents:
    print(doc.metadata["page_number"], doc.content[:120])

Handling Errors

parser = SlateParser()
try:
    docs = parser.parse("missing.pdf")
    if not docs:
        print("No pages parsed or Slate returned no text.")
except TypeError as exc:
    print(f"Bad input: {exc}")

Tips

  • Slate3k works best on text-based PDFs. For scanned/bitmap PDFs, run OCR first (e.g., swarmauri_ocr_pytesseract).
  • Large PDFs can consume memory; consider chunking results or streaming pages to downstream processors.
  • Combine with token counting or summarization measurements in Swarmauri to further process the extracted content.

Want to help?

If you want to contribute to swarmauri-sdk, read up on our guidelines for contributing that will help you get started.

Metadata

Release files for swarmauri_parser_slate 0.3.0

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

Source distribution (sdist)

Source distribution for swarmauri_parser_slate 0.3.0
File Size Uploaded
swarmauri_parser_slate-0.3.0.tar.gz 7.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for swarmauri_parser_slate 0.3.0
File Interpreter ABI Platform
swarmauri_parser_slate-0.3.0-py3-none-any.whl Python 3 none any Details

Total release size: 15.5 kB

Release files / swarmauri_parser_slate-0.3.0.tar.gz

Download URL swarmauri_parser_slate-0.3.0.tar.gz
Size 7.3 kB
Tags Source
SHA-256 checksum
How to use checksums
fb35608ac14899d057f89b1a9854b164b21f5699aa32dd9442c7c18956bb1908
BLAKE2b-256 checksum
How to use checksums
3782afa85814425a390f63f7e9d17ada086c5d57b6d455b822c05ae0a4a0bb57
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.11.0 {"installer":{"name":"uv","version":"0.11.0","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 / swarmauri_parser_slate-0.3.0-py3-none-any.whl

Download URL swarmauri_parser_slate-0.3.0-py3-none-any.whl
Size 8.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1600043aec37dc9c302aab875949c3ec0a05ee2bed83d511a1ca672fa8fcadf8
BLAKE2b-256 checksum
How to use checksums
f266a80050a24dcc961c51a4595329d987fd2044c507e23a3b18dc17ffbe81b9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.11.0 {"installer":{"name":"uv","version":"0.11.0","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