marker vs pdfplumber
PDF extraction and document conversion compared
marker and pdfplumber are Python tools for extracting information from PDFs. marker converts documents into structured formats using layout processing and OCR, while pdfplumber focuses on inspecting and extracting positioned objects from machine-generated PDFs.
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.
pdfplumber: Extract Text, Tables, and Objects from PDFs
pdfplumber is a Python library for inspecting machine-generated PDFs and extracting text, tables, and positioned page objects. It suits developers who need more layout detail and visual debugging than basic text extraction provides.
| marker | pdfplumber | |
|---|---|---|
| Language | Python | Python |
| License | Apache-2.0 | MIT |
| Stars | 40.2k | 10.8k |
| Forks | 2.9k | 928 |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- marker converts PDFs and several other document formats into Markdown, JSON, HTML, or chunks; pdfplumber focuses on parsing PDFs and exporting text, tables, or object data.
- marker combines text extraction, layout detection, OCR, and selective vision-language model use; pdfplumber builds on pdfminer.six and does not include OCR.
- marker can preserve elements such as equations and images in structured output; pdfplumber exposes image positions and metadata but does not reconstruct image content.
- marker supports CLI, Python, and a small local API server; pdfplumber offers a Python library and CLI for exporting data.
- marker is Apache-2.0 licensed; pdfplumber is MIT licensed.
- marker has 40.2k stars and 2.9k forks; pdfplumber has 10.8k stars and 928 forks.
Choose marker if you…
- need structured conversion across PDFs and other supported document formats.
- want OCR and layout processing in a local document workflow.
- need outputs such as Markdown, JSON, HTML, or chunks for downstream processing.
Choose pdfplumber if you…
- work mainly with machine-generated PDFs and need positioned page objects.
- want to inspect or tune table extraction, including visual debugging of page structure.
- need a focused Python library without built-in OCR or PDF generation.
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.