HowdenParser 3.1.1

A simple configuration manager with Pydantic and JSON export.

OCR & LLM Parser

A powerful Python package for parsing and processing documents using multiple providers:

• Mistral OCR — Extracts text from PDFs and images with high accuracy.
• LangChain — Processes or summarizes text using LLMs.
• Llama Parser — Advanced parsing with Markdown or text output.
• HuggingFace — OCR and document question answering with transformer models.

The package provides a unified interface so you can switch between providers easily using a factory pattern.

---

🚀 Features

• Extract text from PDFs or images
• Summarize or process text using LLMs
• Support for Markdown or plain text output
• Plug-and-play factory to switch providers without changing much code
• Handles environment variable loading for API keys automatically

---

🔑 Tokens

Create a .env file in your project root and add the API keys for the services you want to use.

Mistral OCR

MISTRAL-OCR-API-TOKEN=your_mistral_api_key

Llama Parser

LLAMA-PARSER-API-TOKEN=your_llama_parser_api_key

HuggingFace

HF-API-TOKEN=your_huggingface_api_key

Only include the keys for the providers you plan to use.

---

🛠️ Usage

from HowdenParser import ParserFactory

from pathlib import Path

parser = ParserFactory.get_parser("mistralocr:", result_type="md") text = parser.parse(Path("document.pdf")) print(text)

if HowdenConfig package being used

config: Config = Config(parameter=Parameter())

parser = Parser.create(config.parameter)

text = parser.parse(Path("document.pdf"))