opendataloader-project/opendataloader-pdf Alternatives

Choose for a MIT-licensed Python library with a simpler API for general documents; it lacks PDF/UA accessibility tagging.

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.

Choose for a Python-native parser with broad format coverage and active development; seed is Java-based with a Python SDK, so Docling fits Python-centric stacks.

Get your documents ready for gen AI

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

A fast, helpful, and open-source document parser

Choose if you want a popular community-driven Python parser with strong handling of complex PDFs; be aware the license is not clearly OSS.

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

Choose if you need an ETL pipeline with connectors for many document types; it is heavier and may require separate processing for accessibility.

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.

Choose if you need a battle-tested OCR library with hundreds of languages and fine control; it provides text boxes but not full Markdown/JSON conversion.

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.

Choose if you are already using vision language models and want high accuracy on layouts; this incurs API cost and is not a local solution.

OCR & Document Extraction using vision models

Choose if you are doing research or want a state-of-the-art document image parsing model; it is not a turnkey library.

The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.

Choose if your focus is LLM-driven structured data extraction with a schema; it adds an abstraction layer over parsers, not a direct parser.

ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.

Choose if you need precise OCR for tables, forms, and handwriting in images; it's a model, not a full PDF-to-Markdown pipeline.

OCR model that handles complex tables, forms, handwriting with full layout.

Choose for fast, low-level PDF text extraction and rendering when you don't need AI layout detection; its AGPL license may affect distribution.

PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.

Choose only if you are maintaining existing code that depends on this archived parser.

Python PDF Parser (Not actively maintained). Check out pdfminer.six.

Choose for a minimal, MIT-licensed text extractor without OCR or layout analysis; good for simple text-only PDFs.

Community maintained fork of pdfminer - we fathom PDF

Choose for a ready-made app that converts scanned book PDFs to other formats; you get a UI/CLI rather than an API.

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

Choose if you want to use LandingAI's cloud extraction service via CLI; not for local or offline use.

The official CLI for Agentic Document Extraction (ADE) by LandingAI — parse documents and extract schema-shaped data from your terminal

Choose if you want to deploy a self-hosted API for document extraction with PII removal; it's a service, not a library.

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

Choose if you want a standalone processing server with a UI for visualizing extracted data; good for exploratory work, not embedding.

Transforms PDF, Documents and Images into Enriched Structured Data

Choose if you want a platform to build LLM extraction pipelines via UI/API; it's a heavier deployment with AGPL licensing.

LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows