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EverNote is intended for archiving and creating notes in which photos, audio and saved web content can be embedded. Notes are stored in virtual β€œnotebooks” and can be tagged, annotated, edited, searched, and exported.

This notebook shows how to load an Evernote export file (.enex) from disk.

A document will be created for each note in the export.

# lxml and html2text are required to parse EverNote notes
# !pip install lxml
# !pip install html2text
from langchain.document_loaders import EverNoteLoader

# By default all notes are combined into a single Document
loader = EverNoteLoader("example_data/testing.enex")
[Document(page_content='testing this\n\nwhat happens?\n\nto the world?**Jan - March 2022**', metadata={'source': 'example_data/testing.enex'})]
# It's likely more useful to return a Document for each note
loader = EverNoteLoader("example_data/testing.enex", load_single_document=False)
[Document(page_content='testing this\n\nwhat happens?\n\nto the world?', metadata={'title': 'testing', 'created': time.struct_time(tm_year=2023, tm_mon=2, tm_mday=9, tm_hour=3, tm_min=47, tm_sec=46, tm_wday=3, tm_yday=40, tm_isdst=-1), 'updated': time.struct_time(tm_year=2023, tm_mon=2, tm_mday=9, tm_hour=3, tm_min=53, tm_sec=28, tm_wday=3, tm_yday=40, tm_isdst=-1), '': 'Harrison Chase', 'source': 'example_data/testing.enex'}),
Document(page_content='**Jan - March 2022**', metadata={'title': 'Summer Training Program', 'created': time.struct_time(tm_year=2022, tm_mon=12, tm_mday=27, tm_hour=1, tm_min=59, tm_sec=48, tm_wday=1, tm_yday=361, tm_isdst=-1), '': 'Mike McGarry', 'note-attributes.source': 'mobile.iphone', 'source': 'example_data/testing.enex'})]