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docling-project
docling
Python2024–2026
docling-project / docling

docling

Get your documents ready for gen AI

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19Distinct people
19Mentions
0Explicit recommenders
70.5KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Get your documents ready for gen AI

GitHub

Where it is used

No documented product use was verified in the last source check.

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 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 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 month19 dated mentions

Observed mentions: 2024-11-06 20:16:49 UTC to 2026-09-04 10:33:17 UTC.

01232024-11-01 00:00:00 UTC to 2024-12-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 commentsNov 20242024-12-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2025-01-01 00:00:00 UTC to 2025-02-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2025-02-01 00:00:00 UTC to 2025-03-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2025-03-01 00:00:00 UTC to 2025-04-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2025-04-01 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-08-01 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsOct 20252025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2026-01-01 00:00:00 UTC to 2026-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-01 00:00:00 UTC to 2026-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-01 00:00:00 UTC to 2026-04-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-04-01 00:00:00 UTC to 2026-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-01 00:00:00 UTC to 2026-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-01 00:00:00 UTC to 2026-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-01 00:00:00 UTC to 2026-08-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2026-08-01 00:00:00 UTC to 2026-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-01 00:00:00 UTC to 2026-10-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsSep 2026

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
Nov 20242024-11-01 00:00:00 UTC2024-12-01 00:00:00 UTC211
Dec 20242024-12-01 00:00:00 UTC2025-01-01 00:00:00 UTC211
Jan 20252025-01-01 00:00:00 UTC2025-02-01 00:00:00 UTC110
Feb 20252025-02-01 00:00:00 UTC2025-03-01 00:00:00 UTC303
Mar 20252025-03-01 00:00:00 UTC2025-04-01 00:00:00 UTC202
Apr 20252025-04-01 00:00:00 UTC2025-05-01 00:00:00 UTC000
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC110
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC202
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC000
Aug 20252025-08-01 00:00:00 UTC2025-09-01 00:00:00 UTC000
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC110
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC000
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC000
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC211
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC000
Feb 20262026-02-01 00:00:00 UTC2026-03-01 00:00:00 UTC000
Mar 20262026-03-01 00:00:00 UTC2026-04-01 00:00:00 UTC101
Apr 20262026-04-01 00:00:00 UTC2026-05-01 00:00:00 UTC000
May 20262026-05-01 00:00:00 UTC2026-06-01 00:00:00 UTC000
Jun 20262026-06-01 00:00:00 UTC2026-07-01 00:00:00 UTC000
Jul 20262026-07-01 00:00:00 UTC2026-08-01 00:00:00 UTC110
Aug 20262026-08-01 00:00:00 UTC2026-09-01 00:00:00 UTC000
Sep 20262026-09-01 00:00:00 UTC2026-10-01 00:00:00 UTC101

What Hacker News says

19 sources
constantinum·Mar 1, 2025
Tested it with the following documents: * Loan application form: It picks up checkboxes and handwriting. But it missed a lot of form fields. Not sure why? * Edsger W. Dijkstra’s handwritten notes(from Texas univ archive) - Parsing is good.* * Badly(misaligned) scanned bill - Parsing is good. Observation: there is a name field, but it produced a synonymous name instead of the name in the bill — hallucination?? * Investment fund factsheet - It could parse the bar charts and tables, but it whimsically excluded many vital data points from the document. * Investment fund factsheet, complex tables - Bad extraction, could not extract merged tables and again whimsical elimination of rows and columns. Anyone curious, try LLMWhisperer[1] for OCR. It doesn't use LLMs, so no hallucination side effects. It also preserves the layout of the input docume
Read the rest
nt for more context and clarity. There's also Docling[2], which is handy for converting tables from PDFs into markdown. While it uses Tesseract/EasyOCR under the hood, which can sometimes make the OCR results a bit less accurate [1] - https://pg.llmwhisperer.unstract.com/ [2] - https://github.com/DS4SD/docling
In OlmOCR: Open-source tool to extract plain text from PDFs
rapjul·Feb 22, 2025
Docling works quite well for me to convert a scanned book PDF to Markdown text. On the command line, first install `uv` from https://github.com/astral-sh/uv?tab=readme-ov-file#installat..., then run `uv tool install -U "docling[tesserocr,ocrmac,vlm]"` (first includes the tesserocr, ocrmac (macOS only), and vlm (for running a small Image-to-Text model to get descriptions of images). You go here https://github.com/DS4SD/docling/blob/main/pyproject.toml#L1... to see all the extra installation options. For cached/offline use, run `docling-tools models download` to download their models.
In Show HN: Kreuzberg – Modern async Python library for document text extraction

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