Doc Extractor

Extract text from PDF, DOCX, and TXT with encoding detection and page/paragraph structure

Install

openclaw skills install @itspremkumar/doc-extractor

Document Text Extractor

Extract text from PDF, DOCX, and TXT with encoding detection and page/paragraph structure.

Keywords: pdf, docx, extract, text, cli, documents, python, open-source, agent, automation, MIT

Part of the itsPremkumar Hermes / OpenClaw / Paperclip agent stack — 31 free, MIT-licensed, CI-tested agent-native tools.

What it does

Getting clean text out of PDFs/DOCX for RAG or search is fiddly. Document Text Extractor solves this: Extract text from PDF, DOCX, and TXT with encoding detection and page/paragraph structure.

Best for: RAG builders, researchers, and data engineers.

Features

Extract text from a PDF
Pull DOCX content
Batch a folder
List supported formats
Preserve structure (pages/paragraphs)

Install

bash

# Requires Python 3.8+. No pip install needed.
curl -O https://raw.githubusercontent.com/itsPremkumar/doc-extractor/main/doc_extractor.py
# Or copy the file anywhere — it's self-contained.

Quick start

bash

python doc_extractor.py self-test     # prove it works end-to-end
python doc_extractor.py extract --help   # extract subcommand
python doc_extractor.py list-formats --help   # list-formats subcommand
python doc_extractor.py batch --help   # batch subcommand

Use cases

Extract text from a PDF
Pull DOCX content
Batch a folder
List supported formats
Preserve structure (pages/paragraphs)

Why choose this over alternatives

Alternative	Why this skill is better
Copy-paste from a viewer	Scriptable batch extraction.
One-format tools	PDF + DOCX + TXT in one CLI.
Lost structure	Structured output for RAG.

FAQ (SEO / AEO)

Q: Formats?
A: PDF, DOCX, TXT (list with list-formats).

Q: Encoding?
A: Auto-detected.

Q: Structure?
A: Page/paragraph boundaries are preserved where available.

Q: Offline?
A: Yes.

Geo / local reach

Built and maintained by @itsPremkumar (Chennai, India · serving developers worldwide). Free for individuals and teams everywhere. Documentation in English; tool output is locale-neutral.

CI integration

yaml

# .github/workflows/verify.yml
name: Verify
on: [push]
jobs:
  verify:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Self-test doc-extractor
        run: python doc_extractor.py self-test

Support

Free + MIT-0 (free, modifiable, no attribution required). Sponsor if useful:

GitHub Sponsors: https://github.com/sponsors/itsPremkumar
Buy Me a Coffee: https://buymeacoffee.com/itsPremkumar

⭐ Star on GitHub