# NanoNets/docstrange

<https://repo.masters-masters.com/en/repos/NanoNets/docstrange>

[Home](https://repo.masters-masters.com/en) › [NanoNets](https://repo.masters-masters.com/en/owners/NanoNets) › [docstrange](https://repo.masters-masters.com/en/repos/NanoNets/docstrange)

NanoNets/docstrange has 1,585 stars on GitHub. Its RepoMasters card: Beta tier. Extract and convert data from any document, images, pdfs, word doc, ppt or URL…

| Field | Value |
| --- | --- |
| Owner | [NanoNets](https://repo.masters-masters.com/en/owners/NanoNets) |
| Stars | 1,585 |
| Forks | 138 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2025 |
| Topics | image-to-markdown, llm, markdown, ocr, pdf-to-markdown, structured-data, ai, document-parser, document-parsing, pdf-parser |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [NanoNets/docstrange](https://github.com/NanoNets/docstrange) |

## Repository

Extract and convert data from any document, images, pdfs, word doc, ppt or URL into multiple formats (Markdown, JSON, CSV, HTML) with intelligent structured data extraction and advanced OCR.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

## More repos by NanoNets

- [NanoNets/docext · ★ 2,087 · Python · RC](https://repo.masters-masters.com/en/repos/NanoNets/docext)
- [NanoNets/nanonets-ocr-sample-python · ★ 209 · Python · Prototype](https://repo.masters-masters.com/en/repos/NanoNets/nanonets-ocr-sample-python)
- [NanoNets/RaspberryPi-ObjectDetection-TensorFlow · ★ 174 · Python · Prototype](https://repo.masters-masters.com/en/repos/NanoNets/RaspberryPi-ObjectDetection-TensorFlow)
- [NanoNets/ocr-with-tesseract · ★ 135 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/NanoNets/ocr-with-tesseract)
- [NanoNets/ocr-python · ★ 129 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/NanoNets/ocr-python)

## Nearby in Python

- [OsciiArt/DeepAA · ★ 1,585 · Python · Beta](https://repo.masters-masters.com/en/repos/OsciiArt/DeepAA)
- [vlawhern/arl-eegmodels · ★ 1,585 · Python · Beta](https://repo.masters-masters.com/en/repos/vlawhern/arl-eegmodels)
- [Memento-Teams/Memento-Skills · ★ 1,585 · Python · Beta](https://repo.masters-masters.com/en/repos/Memento-Teams/Memento-Skills)

---
Data: GitHub · Illustration: the project’s public image, pixelated by RepoMasters.
