Repositories
18
Net stars gained, last 7 days
+8,781
Top-level Tag
Net stars gained each day, last 90 days
Peak days
- 1
Aug 6, 2026 +4,711 net stars (median day +1,126)
- firecrawl/anydoc+3,482 (74%)
Published v0.1.5 and v0.1.6 on Aug 5, 2026 · Created on Aug 3, 2026
- firecrawl/firecrawl+614 (13%)
- microsoft/markitdown+267 (6%)
- 2
Aug 7, 2026 +3,127 net stars (median day +1,126)
- firecrawl/anydoc+2,063 (66%)
Published v0.1.7 on Aug 7, 2026 · Created on Aug 3, 2026
- firecrawl/firecrawl+528 (17%)
- microsoft/markitdown+213 (7%)
- 3
Aug 10, 2026 +2,510 net stars (median day +1,126)
- firecrawl/firecrawl+976 (39%)
- firecrawl/anydoc+878 (35%)
Published v0.1.8 on Aug 10, 2026 · Created on Aug 3, 2026
- microsoft/markitdown+309 (12%)
- 4
Sep 7, 2026 +2,631 net stars (median day +1,126)
- microsoft/markitdown+1,799 (68%)
- firecrawl/firecrawl+397 (15%)
- firecrawl/anydoc+149 (6%)
A peak day has at least 2 times the net stars of the median day of this chart, and at least 100 more. For each peak day, the list shows the repositories that gained the most net stars that day. It also shows their GitHub releases of that day or the day before (UTC), and their creation date when it was 14 days or less before. These events occur near the same day. They do not show why the stars came.
Largest
Most stars in total now.
readme:
Turn PDFs, DOCX, and other documents into clean Markdown or structured JSON
readme:
MarkItDown is a lightweight Python utility for converting various files to Markdown for use with LLMs and related text analysis pipelines.
readme:
PaddleOCR converts PDF documents and images into structured, LLM-ready data (JSON/Markdown)
description:
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
readme:
Docling simplifies document processing by parsing diverse formats — including advanced PDF understanding — and providing seamless integrations with the generative AI ecosystem.
readme:
Marker converts documents to markdown, JSON, chunks, and HTML quickly and accurately.
readme:
Extract Markdown, JSON (with bounding boxes), and HTML from any PDF.
readme:
turn any office document into LLM-ready Markdown in single-digit milliseconds
description:
Toolkit for linearizing PDFs for LLM datasets/training
readme:
Turn any Git repository into a prompt-friendly text ingest for LLMs.
Newest Admissions
Entered the index by the rising rule, newest first.
readme:
reads document pages and produces structured Markdown, with OTSL model outputs converted to HTML tables in Markdown and formulas in LaTeX.
readme:
**MiniCPM-OCR 1.0** parses Chinese and English documents and PDFs
readme:
Turn web pages, PDFs and Office files into clean Markdown for LLMs and AI agents.
description:
it turns a page into structured Markdown, with LaTeX formulas and HTML tables.
- datalab-to/indra1.6K
readme:
It turns PDFs and images into markdown, text, or JSON with boxes
- SoMarkAI/OXR3.3K
readme:
It turns PDFs and document images into Agent-Friendly data in Markdown or JSON, with layout coordinates included.
readme:
turn any office document into LLM-ready Markdown in single-digit milliseconds
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