Docling converts full documents into structured data while preserving layout and semantic structure. Unlike OCR or text-centric parsing tools, it operates at the document level, handling tables, sections, and heterogeneous formats in a single pipeline.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/2864
**Author:** [@thisadityasoni](https://github.com/thisadityasoni)
**Created:** 1/17/2026
**Status:** ✅ Merged
**Merged:** 1/17/2026
**Merged by:** [@JinyangWang27](https://github.com/JinyangWang27)
**Base:** `master` ← **Head:** `add-docling`
---
### 📝 Commits (3)
- [`18bc6fa`](https://github.com/vinta/awesome-python/commit/18bc6fa770c0bf8f920cebf8c3899b5997ca6dff) Add docling to Data Analysis
- [`b981135`](https://github.com/vinta/awesome-python/commit/b9811358febeb07a4880e0a6228e475147c58804) Fix entry order
- [`017cdec`](https://github.com/vinta/awesome-python/commit/017cdec13e7290f73eaf30c673a10545f8afb12c) format
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
## Project
[docling](https://github.com/docling-project/docling)
## Checklist
- [x] One project per PR
- [x] PR title format: `Add project-name`
- [x] Entry format: `* [project-name](url) - Description ending with period.`
- [x] Description is concise and short
## Why This Project Is Awesome
Which criterion does it meet? (pick one)
- [ ] **Industry Standard** - The go-to tool for a specific use case
- [x] **Rising Star** - 5000+ stars in < 2 years, significant adoption
- [ ] **Hidden Gem** - Exceptional quality, solves niche problems elegantly
Explain:
## How It Differs
Docling converts full documents into structured data while preserving layout and semantic structure. Unlike OCR or text-centric parsing tools, it operates at the document level, handling tables, sections, and heterogeneous formats in a single pipeline.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
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📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/2864
Author: @thisadityasoni
Created: 1/17/2026
Status: ✅ Merged
Merged: 1/17/2026
Merged by: @JinyangWang27
Base:
master← Head:add-docling📝 Commits (3)
18bc6faAdd docling to Data Analysisb981135Fix entry order017cdecformat📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
Project
docling
Checklist
Add project-name* [project-name](url) - Description ending with period.Why This Project Is Awesome
Which criterion does it meet? (pick one)
Explain:
How It Differs
Docling converts full documents into structured data while preserving layout and semantic structure. Unlike OCR or text-centric parsing tools, it operates at the document level, handling tables, sections, and heterogeneous formats in a single pipeline.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.