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MathPixPDFLoader

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

Overview​

Integration details​

ClassPackageLocalSerializableJS support
MathPixPDFLoaderlangchain_community✅❌❌

Loader features​

SourceDocument Lazy LoadingNative 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/v0.2/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.MathpixPDFLoader.html

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