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brewdoc

PyPIInfrastructure

No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 11 Oct 2026. How this is checked

brewdoc is an MIT-licensed Python package and CLI that converts PDFs, spreadsheets, and DOCX files into LLM-ready Markdown. It performs deterministic document and table extraction without machine learning and produces a JSON receipt for pipeline auditing.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
Visit PyPI
2stars
8features
2026since

Overview

6 features

Purpose: Converting complex documents into deterministic, LLM-ready Markdown without manually cleaning tables and formatting.

Inferred · not functionally tested

Audience: developers and data engineers building document-processing or RAG pipelines

Inferred · not functionally tested

Functions: data_extraction

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

brewdoc is a Data labelling & annotation project. Inferred · not functionally tested: It focuses on converting complex documents into deterministic, LLM-ready Markdown without manually cleaning tables and formatting. Inferred · not functionally tested: brewdoc is an open-source project aimed at developers and data engineers building document-processing or RAG pipelines. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

Behind brewdoc is kochetkov-ma, and it first shipped in 2026. The project is developed in the open on GitHub with 20 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include PDF conversion, spreadsheet conversion, and DOCX conversion.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • PDF conversion
  • Spreadsheet conversion
  • DOCX conversion
  • Table extraction
  • Markdown output
  • JSON receipts

Topics: Inferred · not functionally tested

Tags
document-conversionmarkdown-extractiontable-extractionrag-pipelines

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHub · ★ 2Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed11 Oct · 14:34 UTC
    brewdoc seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about brewdoc

What is brewdoc?
Inferred · not functionally tested: Brewdoc focuses on converting complex documents into deterministic, LLM-ready Markdown without manually cleaning tables and formatting. It is catalogued under Data labelling & annotation on PulseGate.
Who is brewdoc for?
Inferred · not functionally tested: brewdoc is an open-source project built for developers and data engineers building document-processing or RAG pipelines.
Does brewdoc have a free plan?
Basis unknown · not verified: Yes — brewdoc is open source under the MIT license and free to use.
What platforms does brewdoc run on?
Basis unknown · not verified: brewdoc runs on the command line. It can also be self-hosted.
Is brewdoc still maintained?
The GitHub repository shows 20 commits in the last 90 days.
Who makes brewdoc?
brewdoc is developed by kochetkov-ma.
How long has brewdoc been around?
brewdoc first shipped in 2026.
Is brewdoc open source?
Basis unknown · not verified: Yes — brewdoc is open source under the MIT license, developed on GitHub.

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