Skip to main content

LLM Parse

LLM Parse is a Python library designed for parsing and extracting data from files, specifically optimized for downstream tasks involving large language models (LLMs).

It is built on several popular document parsing libraries with further text processing to represent the data in a form that is more suitable for downstream LLM tasks such as RAG, summarization and drafting.

Getting started

Install the package:

pip install llm-parse

Examples

Parse a PDF to Markdown.

from llm_parse.pdf_2_md_parser import PDF2MDParser

parser = PDF2MDParser()
text = parser.load_data("example.pdf")

Parse a PDF to text.

from llm_parse.pdf_2_text_parser import PDF2TextParser

parser = PDF2TextParser()
text = parser.load_data("example.pdf")

Metadata

Release files for llm-parse 0.1.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for llm-parse 0.1.5
File Size Uploaded
llm_parse-0.1.5.tar.gz 7.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for llm-parse 0.1.5
File Interpreter ABI Platform
llm_parse-0.1.5-py3-none-any.whl Python 3 none any Details

Total release size: 16.5 kB

Release files / llm_parse-0.1.5.tar.gz

Download URL llm_parse-0.1.5.tar.gz
Size 7.3 kB
Tags Source
SHA-256 checksum
How to use checksums
6ca4d8c4702ae7d39f168d985437b2d1ef5bb977325d92bc4803548ede6a9a26
BLAKE2b-256 checksum
How to use checksums
33a5ee5ad5bbee5c9ca8066d25dfd6c946c5d47ae75e6f52c5d6d2ca718f2527
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/2.1.3 CPython/3.13.4 Darwin/24.5.0

Release files / llm_parse-0.1.5-py3-none-any.whl

Download URL llm_parse-0.1.5-py3-none-any.whl
Size 9.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
89e80cf0b75f459144e80d216b82f778681e556b3224fa76ea54715f1c6b25fa
BLAKE2b-256 checksum
How to use checksums
86fc3a07ff0dbc5f1ef6463d2fa95dfe7ef8d7d354b22b98b0e16a3059dc459f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/2.1.3 CPython/3.13.4 Darwin/24.5.0

Release history Release notifications | RSS feed

This release

0.1.5 This release

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page