Welcome to Lexoid’s Documentation#

Lexoid is a multimodal library for downstream AI workflows. It provides flexible parsing for documents, web pages, images, and audio, alongside evidence-grounded browser automation.

Contents:

Key Features#

  • Multiple parsing strategies (LLM-based and static parsing)

  • Automatic parsing strategy selection (AUTO mode) with optional ML-based LLM auto-selection

  • Routing priorities: speed, accuracy, and cost

  • Support for many LLM providers (OpenAI, Google Gemini, Anthropic, Mistral, Hugging Face, Together AI, OpenRouter, Fireworks)

  • Local LLM inference via Ollama, SmolDocling/granite-docling, and PaddleOCR-VL (no API key required)

  • Schema-constrained extraction (parse_with_schema) accepting dict, dataclass, or Pydantic BaseModel

  • LaTeX conversion (parse_to_latex)

  • Audio transcription to markdown (via Gemini)

  • Multi-format input: PDF, images (PNG/JPG/TIFF/BMP/GIF), HTML, DOCX, XLSX, PPTX, CSV, TXT, audio, and URLs

  • Recursive URL parsing

  • Table detection and markdown conversion

  • Hyperlink detection and preservation

  • Reference highlighting and bounding box extraction (return_bboxes)

  • Browse (Preview): A web operator for autonomous browser task automation.

  • Parallel processing via multiprocessing

  • Command-line interface (lexoid / python -m lexoid)

  • Permissive Apache 2.0 license

Supported API Providers#

  • Google (Gemini)

  • OpenAI

  • Anthropic (Claude)

  • Mistral (OCR models)

  • Hugging Face

  • Together AI

  • OpenRouter

  • Fireworks

  • Ollama (local inference)

  • Local models (SmolDocling/granite-docling, PaddleOCR-VL)

Indices and tables#