run-llama/liteparse alternatives

calls liteparse “if you want a fast Rust-based parser with a small footprint and Apache-2.0.”

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

calls liteparse “Choose when you need maximum parsing speed with a low-memory Rust core; the ecosystem is less mature and may require Rust integration.”

PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.

calls liteparse “Rust document parser from LlamaIndex; choose if you prefer that ecosystem over anydoc.”

Convert Word, PowerPoint, Excel, OpenDocument, RTF, EPUB, CSV, and PDF to clean Markdown. Built in Rust, with Node.js and Python bindings.

calls liteparse “when you want a Rust-native document parser with a similar LLM-based approach to structured output.”

OCR & Document Extraction using vision models

calls liteparse “actively maintained Apache-2.0 Rust parser, a direct drop-in replacement for Parsr.”

Transforms PDF, Documents and Images into Enriched Structured Data

calls liteparse “choose when you need a fast, embeddable Rust document parser for low-latency services; seed is Python and includes a UI/API.”

Extract and convert data from any document, images, pdfs, word doc, ppt or URL into multiple formats (Markdown, JSON, CSV, HTML) with intelligent structured data extraction and advanced OCR.

calls liteparse “Rust-based parser, use when you need a fast native binary rather than Python.”

Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.

calls liteparse “if you need a Rust-native parser for performance or embedding in Rust codebases”

Get your documents ready for gen AI

calls liteparse “When you want a Rust-core parser with Python bindings for high throughput.”

Convert PDF to markdown + JSON quickly with high accuracy

calls liteparse “Choose when you want automated document parsing with LLM-based structuring, not a low-level OCR engine.”

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

calls liteparse “Rust-native document parser; choose for low-latency parsing in a Rust environment.”

Unlimited OCR Works: Welcome the Era of One-shot Long-horizon Parsing.

calls liteparse “fast LLM-based document parser for structured extraction instead of low-level OCR.”

OCR, layout analysis, reading order, table recognition in 90+ languages

calls liteparse “when you need a fast Rust-based document parser with a minimal API from the LlamaIndex ecosystem.”

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.

calls liteparse “when you need a Rust-native, fast document parser with low overhead instead of Python”

A Comprehensive Toolkit for High-Quality PDF Content Extraction

calls liteparse “choose when you prefer a Rust-native parser for various document formats over a Python VLM.”

Multilingual Document Layout Parsing in a Single Vision-Language Model

calls liteparse “Use when you need a fast Rust-based document parser with structured output, rather than a model-based OCR.”

GLM-OCR: Accurate × Fast × Comprehensive

calls liteparse “choose when you need a fast, lightweight document parser for structured output and can trade OCR-free end-to-end learning for a more modular pipeline.”

Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

calls liteparse “fast document parser in Rust, different implementation approach”

A lightweight LMM-based Document Parsing Model

calls liteparse “Fast Rust document parser for text-based PDFs; choose when you don't need OCR and want a lightweight library for Markdown extraction.”

PDF craft can convert PDF files into various other formats. This project will focus on processing PDF files of scanned books.

calls liteparse “choose for a Rust-native document parser when you only need digital text extraction, not OCR or PII removal.”

Document (PDF, Word, PPTX ...) extraction and parse API using state of the art modern OCRs + Ollama supported models. Anonymize documents. Remove PII. Convert any document or picture to structured JSON or Markdown