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Parsr

Transforms PDFs, documents, and images into structured, enriched JSON, Markdown, or CSV data.

Parsr: Document Cleaning & Parsing

Turn unstructured PDF, document, and image formats into clean, structured data sets.

Free forever · open source · Apache-2.0
✓ Needs IT✓ Browser-based✓ Real-time collaboration
6.1
ZEKAI
Unmaintained parsing tool
Free & open source · Compliance
Ease of setup4
Usefulness6
Maintenance7
Community7.5
★ 6,173
GITHUB
Mar 2026
UPDATED
Apache-2.0
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

Parsr is a minimal-footprint toolchain that ingests PDFs, documents, images, and emails to extract structured and label-enriched information. It suits developers and data analysts who need to convert messy document layouts into formats like JSON, Markdown, or Pandas DataFrames.

Runs on
Web
Hosting
Self-host
Languages
JavaScript
License
Apache-2.0

What it is

The tool performs document cleaning, hierarchy regeneration for words and paragraphs, and detects headings, tables, lists, table of contents, and page numbers. It exposes an API that you can interact with via a Python client, Jupyter notebooks, or a dedicated GUI.

Who it's for

It suits data scientists and developers building automated document processing pipelines. It does not suit compliance professionals seeking an out-of-the-box GRC platform, as it requires integration work and technical setup.

Key features

Multi-Format Ingestion

Processes PDFs, images, docx files, and emails into structured outputs.

Hierarchy Regeneration

Detects words, lines, paragraphs, headings, tables, and lists automatically.

Multiple Output Formats

Generates readily available data in JSON, Markdown, CSV, or TXT.

Python & GUI Support

Includes a Python client, Jupyter notebook demo, and a Docker-based GUI viewer.

How to start

Up and running in 3 steps

1
Pull the Parsr Docker image using docker pull axarev/parsr.
2
Run the container with docker run -p 3001:3001 axarev/parsr to start the API.
3
Install the Python client via pip install parsr-client to interact with the service.
Real talk

Our honest verdict

What's great

  • Converts complex layouts into machine-readable JSON, Markdown, or CSV
  • Includes a Python client and Jupyter notebook demo for quick testing
  • Provides a Docker-based GUI for visualizing extraction results
  • Identifies document structures like tables of contents, headers, and footers

Where it falls short

  • The project is no longer maintained and receives no security patches
  • Requires setting up and running Docker containers to use the API and GUI
  • Depends on heavy external tools like Tesseract, ImageMagick, and QPDF
Cost

Pricing & license

Parsr is free to use under its license. The only cost is running and hosting the required infrastructure yourself.

Paid work

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Questions

FAQ

Is Parsr still actively maintained?

No, the project is officially no longer maintained, and security patches are not being applied.

What output formats does Parsr support?

It outputs structured data in JSON, Markdown, CSV, Pandas DataFrames, or TXT formats.

How do I run the user interface?

You can pull and run the axarev/parsr-ui-localhost Docker image alongside the API container.

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