marker vs opendataloader-pdf
PDF and document extraction tools compared
marker and opendataloader-pdf turn PDFs into structured formats for search and downstream document workflows. marker also supports several non-PDF formats and configurable conversion, while opendataloader-pdf focuses on PDFs and adds Tagged PDF generation and source coordinates.
marker: Convert Documents into Structured Text
Marker converts PDFs and other documents into Markdown, JSON, HTML, or chunks, preserving structure such as tables, equations, and images. It suits developers building document-processing workflows who can run its local models and inference backend.
opendataloader-pdf: Extract Structured Data and Accessibility Tags from PDFs
OpenDataLoader PDF parses digital, scanned, and tagged PDFs into structured formats for AI and document workflows. It also automates conversion of untagged PDFs into Tagged PDFs, with optional hybrid processing for complex documents.
| marker | opendataloader-pdf | |
|---|---|---|
| Language | Python | Java |
| License | Apache-2.0 | Apache-2.0 |
| Stars | 40.2k | 29.5k |
| Forks | 2.9k | 2.8k |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- marker is written in Python and supports PDFs plus, with extra dependencies, image, office, HTML, and EPUB formats; opendataloader-pdf is written in Java and focuses on PDFs.
- marker produces Markdown, JSON, HTML, or chunks; opendataloader-pdf also offers text and annotated PDF output, with page numbers and bounding boxes in structured output.
- marker uses layout detection, OCR, and a vision-language model through a local inference server; opendataloader-pdf provides local parsing and an optional hybrid mode for complex layouts, OCR, and richer analysis.
- marker offers CLI, Python, and a small local API server; opendataloader-pdf offers CLI and Python, Node.js, and Java interfaces.
- opendataloader-pdf generates Tagged PDFs from untagged files; marker's listed outputs focus on structured content rather than PDF accessibility tagging.
- Both use the Apache-2.0 license for their code; marker notes that its model weights have separate license terms, while opendataloader-pdf lists PDF/UA export and its accessibility studio as enterprise add-ons.
Choose marker if you…
- need to convert supported non-PDF formats as well as PDFs.
- want configurable Markdown, JSON, HTML, or chunked output and custom processing options.
- can run its local model inference setup and want a Python-oriented workflow.
Choose opendataloader-pdf if you…
- need page coordinates and bounding boxes to link extracted content to PDF locations.
- want to generate Tagged PDFs from untagged files as part of an accessibility workflow.
- prefer Java-based PDF parsing with Python, Node.js, or Java integration options.
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.