Lexoid

<div align="center"> <img src="assets/logo.png"> </div>

Lexoid is an efficient document parsing library that supports both LLM-based and non-LLM-based (static) PDF document parsing.

Documentation

Motivation:

• Use the multi-modal advancement of LLMs
• Enable convenience for users
• Collaborate with a permissive license

Installation

Installing with pip

pip install lexoid

To use LLM-based parsing, define the following environment variables or create a .env file with the following definitions

OPENAI_API_KEY=""
GOOGLE_API_KEY=""

Optionally, to use Playwright for retrieving web content (instead of the requests library):

playwright install --with-deps --only-shell chromium

Building .whl from source

[!NOTE] Installing the package from within the virtual environment could cause unexpected behavior, as Lexoid creates and activates its own environment in order to build the wheel.

make build

Creating a local installation

To install dependencies:

make install

or, to install with dev-dependencies:

make dev

To activate virtual environment:

source .venv/bin/activate

Usage

Example Notebook

Example Colab Notebook

Here's a quick example to parse documents using Lexoid:

from lexoid.api import parse
from lexoid.api import ParserType

parsed_md = parse("https://www.justice.gov/eoir/immigration-law-advisor", parser_type="AUTO")["raw"]
# or
pdf_path = "path/to/immigration-law-advisor.pdf"
parsed_md = parse(pdf_path, parser_type="LLM_PARSE")["raw"]
# or
pdf_path = "path/to/immigration-law-advisor.pdf"
parsed_md = parse(pdf_path, parser_type="STATIC_PARSE")["raw"]

print(parsed_md)

Parameters

• path (str): The file path or URL.
• parser_type (str, optional): The type of parser to use ("LLM_PARSE" or "STATIC_PARSE"). Defaults to "AUTO".
• pages_per_split (int, optional): Number of pages per split for chunking. Defaults to 4.
• max_threads (int, optional): Maximum number of threads for parallel processing. Defaults to 4.
• **kwargs: Additional arguments for the parser.

Supported API Providers

• Google
• OpenAI
• Hugging Face
• Together AI
• OpenRouter
• Fireworks

Benchmark

Results aggregated across 14 documents.

Note: Benchmarks are currently done in the zero-shot setting.

| Rank | Model | SequenceMatcher Similarity | TFIDF Similarity | Time (s) | Cost ($) | | --- | --- | --- | --- | --- | --- | | 1 | gemini-3-pro-preview | 0.917 (±0.127) | 0.943 (±0.159) | 46.92 | 0.06288 | | 2 | AUTO (with auto-selected model) | 0.899 (±0.131) | 0.960 (±0.066) | 21.17 | 0.00066 | | 3 | AUTO | 0.895 (±0.112) | 0.973 (±0.046) | 9.29 | 0.00063 | | 4 | gpt-5.2 | 0.890 (±0.193) | 0.975 (±0.036) | 33.32 | 0.03959 | | 5 | gemini-2.5-flash | 0.886 (±0.164) | 0.986 (±0.027) | 52.55 | 0.01226 | | 6 | mistral-ocr-latest | 0.882 (±0.106) | 0.932 (±0.091) | 5.75 | 0.00121 | | 7 | gemini-2.5-pro | 0.876 (±0.195) | 0.976 (±0.049) | 22.65 | 0.02408 | | 8 | gemini-2.0-flash | 0.875 (±0.148) | 0.977 (±0.037) | 11.96 | 0.00079 | | 9 | claude-3-5-sonnet-20241022 | 0.858 (±0.184) | 0.930 (±0.098) | 17.32 | 0.01804 | | 10 | gemini-1.5-flash | 0.842 (±0.214) | 0.969 (±0.037) | 15.58 | 0.00043 | | 11 | gpt-5-mini | 0.819 (±0.201) | 0.917 (±0.104) | 52.84 | 0.00811 | | 12 | gpt-5 | 0.807 (±0.215) | 0.919 (±0.088) | 98.12 | 0.05505 | | 13 | claude-sonnet-4-20250514 | 0.801 (±0.188) | 0.905 (±0.136) | 22.02 | 0.02056 | | 14 | claude-opus-4-20250514 | 0.789 (±0.220) | 0.886 (±0.148) | 29.55 | 0.09513 | | 15 | accounts/fireworks/models/llama4-maverick-instruct-basic | 0.772 (±0.203) | 0.930 (±0.117) | 16.02 | 0.00147 | | 16 | gemini-1.5-pro | 0.767 (±0.309) | 0.865 (±0.230) | 24.77 | 0.01139 | | 17 | gemini-3-flash-preview | 0.766 (±0.293) | 0.858 (±0.210) | 39.38 | 0.00969 | | 18 | gpt-4.1-mini | 0.754 (±0.249) | 0.803 (±0.193) | 23.28 | 0.00347 | | 19 | accounts/fireworks/models/llama4-scout-instruct-basic | 0.754 (±0.243) | 0.942 (±0.063) | 13.36 | 0.00087 | | 20 | gpt-4o | 0.752 (±0.269) | 0.896 (±0.123) | 28.87 | 0.01469 | | 21 | gpt-4o-mini | 0.728 (±0.241) | 0.850 (±0.128) | 18.96 | 0.00609 | | 22 | claude-3-7-sonnet-20250219 | 0.646 (±0.397) | 0.758 (±0.297) | 57.96 | 0.01730 | | 23 | gpt-4.1 | 0.637 (±0.301) | 0.787 (±0.185) | 35.37 | 0.01498 | | 24 | google/gemma-3-27b-it | 0.604 (±0.342) | 0.788 (±0.297) | 23.16 | 0.00020 | | 25 | ds4sd/SmolDocling-256M-preview | 0.603 (±0.292) | 0.705 (±0.262) | 507.74 | 0.00000 | | 26 | microsoft/phi-4-multimodal-instruct | 0.589 (±0.273) | 0.820 (±0.197) | 14.00 | 0.00045 | | 27 | qwen/qwen-2.5-vl-7b-instruct | 0.498 (±0.378) | 0.630 (±0.445) | 14.73 | 0.00056 |

Citation

If you use Lexoid in production or publications, please cite accordingly and acknowledge usage. We appreciate the support 🙏