marker vs unstructured
Document conversion and preprocessing compared
marker and unstructured are Python projects that turn documents into structured content for downstream workflows. marker emphasizes layout-aware conversion into formats such as Markdown, JSON, HTML, and chunks, while unstructured provides parsers and ingestion tools for a range of document types.
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.
unstructured: Turn Documents Into Structured Data
Unstructured is a Python library for parsing and preprocessing documents into structured elements for downstream applications, including LLM workflows. It supports many file types, with format-specific dependencies for some inputs.
| marker | unstructured | |
|---|---|---|
| Language | Python | HTML |
| License | Apache-2.0 | Apache-2.0 |
| Stars | 40.2k | 15.5k |
| Forks | 2.9k | 1.4k |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- marker combines text extraction, layout detection, OCR, and selective vision-language model use; unstructured routes files to format-specific parsers through `partition`.
- marker outputs Markdown, JSON, HTML, or chunks and processes elements such as equations, tables, and images; unstructured organizes content into structured elements for downstream applications.
- marker supports PDFs and, with additional dependencies, formats including PPTX, XLSX, and EPUB; unstructured lists support for formats including emails and Word documents.
- marker uses local inference for OCR and layout processing, with hardware and setup depending on the mode; unstructured may require format-specific extras and system packages such as Tesseract, Poppler, or LibreOffice.
- Both use the Apache-2.0 code license, but marker notes separate model-weight terms under a modified OpenRAIL-M license; unstructured notes default lightweight analytics that can be disabled.
- marker describes its included API server as suitable for small-scale use; unstructured presents its open-source project as a preprocessing library and describes production-oriented offerings separately.
Choose marker if you…
- need structured Markdown, JSON, HTML, or chunked output from documents.
- want local, layout-aware conversion with control over processing logic and output formats.
- can configure the inference backend and check the separate model-weight terms.
Choose unstructured if you…
- want a library that automatically detects file types and selects parsers.
- need ingestion workflows spanning formats such as PDFs, images, office documents, and email.
- prefer to add dependencies for the specific document formats your workflow uses.
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.