# axa-group/Parsr

Transforms PDF, Documents and Images into Enriched Structured Data

Repository: https://github.com/axa-group/Parsr
Canonical: https://ross.abutalabs.com/products/parsr
Language: JavaScript
License: Apache-2.0
License Family: permissive
Topics: parsr, pdf, images, extraction, data, typescript, python, ocr, document, nlp, hacktoberfest
Last push: 2026-03-20T13:14:26+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 73, release rhythm 8, longevity 100
- inputs: {"age_days": 2585, "days_push": 166, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6178, forks 318 (observed 2026-08-28T04:09:37.900560+00:00)

## What it is
Parsr is a document parsing and extraction toolchain that transforms PDFs, images, docx, and eml files into clean, enriched structured data in JSON, Markdown, CSV, or TXT. It offers a REST API, Python client, and optional GUI, deployable via Docker.

## Use cases
- extract structured data from pdf documents
- convert scanned documents to  or markdown
- parse tables and headings from pdfs
- ocr images into text data
- automate document data entry pipelines
- clean and restructure document hierarchy

## When to choose
- you need structured extraction from pdfs, images, or office documents
- you want a self-hosted document parsing API with a python client
- you need table, heading, and list detection from documents

## When to avoid
- you need active maintenance or security patches - the project is officially unmaintained
- you want a lightweight library rather than a dockerized API service
- you need cutting-edge LLM-based document understanding

## Facets
- artifact type: library
- maturity: abandoned
- function: ocr, pdf, parser, nlp, etl
- domain: pdf, files
- platform: self-hosted, python
- tags: document-parsing, pdf-extraction, structured-data, document-cleaning, table-detection, api-server, unmaintained, natural-language-processing, data-engineering, docker, web-server, nodejs

## Member repositories
- axa-group/Parsr (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:37.900560+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:47:25.456158+00:00, confidence not recorded.
  - readme: https://github.com/axa-group/Parsr (fetched 2026-08-28T04:09:37.900560+00:00, sha 5cfd4b9ff1ad)
- Data as of 2026-08-30T08:39:29.467469+00:00.