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axa-group
Parsr
JavaScript2020–2024
axa-group / Parsr

Parsr

Transforms PDF, Documents and Images into Enriched Structured Data

7Distinct people
9Mentions
0Explicit recommenders
6.2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Transforms PDF, Documents and Images into Enriched Structured Data

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 10:49:33 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year9 dated mentions

Observed mentions: 2020-01-13 17:54:58 UTC to 2024-11-18 16:16:51 UTC.

02462020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 6 mentions; 3 submissions, 3 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC633
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC110
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC202

What Hacker News says

6 sources
Also in the extracting-structured-data-from-PDFs solution space, there is Parsr which was recently posted on HN: https://github.com/axa-group/Parsr see https://news.ycombinator.com/item?id=22035258 It's based on a pipeline of various js modules and pluggable backends (e.g. tesseract, GCP cloud vision, Abbyy API, etc.) For tables with numbers in them, it worked pretty well, but I'm yet to find a tool that can parse/understand documents where the entire page is a table layout with lots of merged cells. I think even for humans it's hard to understand the structure in those cases...
In Table Detection and Extraction Using Deep Learning
There is no inputs and outputs example in the repo to allow you to see rapidly what is possible. We should definitively add them. For a quick test you can either run the jupyter notebook https://github.com/axa-group/Parsr/tree/master/demo/jupyter-... or run the docker with the UI interface and just drag and drop documents / play with the configuration docker run -t -p 8080:80 axarev/parsr-ui-localhost:latest
In Show HN: Parsr – A toolchain to transform documents into usable structured text

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