MathPixPDFLoader

Inspired by Daniel Gross's snippet here: https://gist.github.com/danielgross/3ab4104e14faccc12b49200843adab21

Overview

Integration details

Class	Package	Local	Serializable	JS support
MathPixPDFLoader	langchain_community	✅	❌	❌

Loader features

Source	Document Lazy Loading	Native Async Support
MathPixPDFLoader	✅	❌

Setup

Credentials

Sign up for Mathpix and create an API key to set the MATHPIX_API_KEY variables in your environment

import getpass
import os

if "MATHPIX_API_KEY" not in os.environ:
    os.environ["MATHPIX_API_KEY"] = getpass.getpass("Enter your Mathpix API key: ")

If you want to get automated best in-class tracing of your model calls you can also set your LangSmith API key by uncommenting below:

# os.environ["LANGSMITH_API_KEY"] = getpass.getpass("Enter your LangSmith API key: ")
# os.environ["LANGSMITH_TRACING"] = "true"

Installation

Install langchain_community.

%pip install -qU langchain_community

Initialization

Now we are ready to initialize our loader:

from langchain_community.document_loaders import MathpixPDFLoader

file_path = "./example_data/layout-parser-paper.pdf"
loader = MathpixPDFLoader(file_path)

API Reference:MathpixPDFLoader

Load

docs = loader.load()
docs[0]

print(docs[0].metadata)

Lazy Load

page = []
for doc in loader.lazy_load():
    page.append(doc)
    if len(page) >= 10:
        # do some paged operation, e.g.
        # index.upsert(page)

        page = []

API reference

For detailed documentation of all MathpixPDFLoader features and configurations head to the API reference: https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.MathpixPDFLoader.html

Related

• Document loader conceptual guide
• Document loader how-to guides