firecrawl/anydoc Alternatives

Rust document parser from LlamaIndex; choose if you prefer that ecosystem over anydoc.

A fast, helpful, and open-source document parser

Python library for office-to-Markdown; choose for Python-native workflows.

Python tool for converting files and office documents to Markdown.

Python document converter with rich structure understanding; choose for Python pipelines needing detailed output.

Get your documents ready for gen AI

Python ETL for document structuring; choose when you need data pipeline integrations.

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.

Python parser for LLM-ready Markdown; choose for a simple Python alternative to anydoc.

File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.

OCR-free conversion toolkit; choose for benchmarking or needing both JSON and Markdown outputs.

An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit. (https://idp-leaderboard.org/)

Python converter with OCR and multiple output formats; choose when JSON/HTML are also needed.

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.

.NET library for file-to-Markdown; choose for C# codebases.

.NET library that converts file formats to Markdown for AI pipelines

ML-based parser with OCR for complex or scanned PDFs; choose when you need higher accuracy over raw speed.

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

OCR engine for images and scanned docs; choose when input is raster, not digital.

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.

Vision-LLM OCR; choose for scanned or complex layouts that anydoc's direct parsing cannot handle.

OCR & Document Extraction using vision models

Broad document extraction framework; choose if you need 101 formats and structured data beyond Markdown.

A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured data from 101 formats (115 file extensions) plus code intelligence for 371 code languages. 15 language bindings — Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, TypeScript — plus CLI, REST API, and MCP server.

Multimodal parser; choose if you also need audio/video extraction alongside documents.

Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks

Deployable document-to-JSON server; choose when you want a service instead of an embedded library.

Transforms PDF, Documents and Images into Enriched Structured Data

Document AI framework; choose for building custom OCR/layout pipelines rather than drop-in conversion.

A Repo For Document AI

Image OCR to Markdown; choose for scanned pages with math formulas or Chinese/English text.

An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.

Multimodal PDF-to-Markdown; choose for complex tables and cross-page content that defeat basic parsers.

OCRFlux is a lightweight yet powerful multimodal toolkit that significantly advances PDF-to-Markdown conversion, excelling in complex layout handling, complicated table parsing and cross-page content merging.

Java PDF-only parser; choose in JVM codebases needing PDF extraction.

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

CLI/MCP server for Korean office formats; use as a standalone tool, not an embeddable library.

모두 파싱해버리겠다 — HWP·HWPX·PDF·Office 문서를 Markdown으로. 양식 자동 채우기와 신구대조를 갖춘 CLI·MCP 서버 | Convert Korean documents (HWP, HWPX, PDF, Office) to Markdown — CLI and MCP server with form filling and diff

CLI script using multimodal LLMs; use as a standalone tool, not embeddable.

Convert files (PDF, image, Word, PPT, Excel, notebooks, code snippets) to markdown using powerful multimodal LLM