How fast john-friedman/doc2dict is gaining stars, and where it lands on Trendshift and GitHub Trending
Activity and trending
Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending
Oct 4 – Oct 25, 2026
Stars +0in 22 days
01
Forks +0in 22 days
01
Merged PRs 0in 22 days
01
Trendshift Trendingwhere the repository ranked each day it made the top 25
Not in the Trendshift top 25 in this period
Oct 4Oct 7Oct 10Oct 13Oct 16Oct 19Oct 22Oct 25
The left and right arrow keys step from day to day; Home and End go to the first and the last
Stars, forks, merged pull requests and Trendshift Trending rank, by day
Day
Stars gained
Forks gained
Merged PRs
Sun, Oct 4, 2026
+0
+0
0
Mon, Oct 5, 2026
+0
+0
0
Tue, Oct 6, 2026
+0
+0
0
Wed, Oct 7, 2026
+0
+0
0
Thu, Oct 8, 2026
+0
+0
0
Fri, Oct 9, 2026
+0
+0
0
Sat, Oct 10, 2026
+0
+0
0
Sun, Oct 11, 2026
+0
+0
0
Mon, Oct 12, 2026
+0
+0
0
Tue, Oct 13, 2026
+0
+0
0
Wed, Oct 14, 2026
+0
+0
0
Thu, Oct 15, 2026
+0
+0
0
Fri, Oct 16, 2026
+0
+0
0
Sat, Oct 17, 2026
+0
+0
0
Sun, Oct 18, 2026
+0
+0
0
Mon, Oct 19, 2026
+0
+0
0
Tue, Oct 20, 2026
+0
+0
0
Wed, Oct 21, 2026
+0
+0
0
Thu, Oct 22, 2026
+0
+0
0
Fri, Oct 23, 2026
+0
+0
0
Sat, Oct 24, 2026
+0
+0
0
Sun, Oct 25, 2026
+0
+0
0
Total
+0
+0
0
1#1 on the list
7Rank that day
Not trending
Social mentions
Recent discussions about this repository across the web
1 post
Writing a document parser that should benchmark around 2GB/s on a single thread. HTML, and modern pdf, although latter will be slower. It's an algorithm that is easily customizable. The idea is that…
Dedoc is a library (service) for automate documents parsing and bringing to a uniform format. It automatically extracts content, logical structure, tables, and meta information from textual electronic documents. (Parse document; Document content extraction; Logical structure extraction; PDF parser; Scanned document parser; DOCX parser; HTML parser
Retrieval of fully structured data made easy. Use LLMs or custom models. Specialized on PDFs and HTML files. Extensive support of tabular data extraction and multimodal queries.
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.
Collection of PDF parsing libraries like AI based docling, claude, openai, gemini, meta's llama-vision, unstructured-io, and pdfminer, pymupdf, pdfplumber etc for efficient snapshot, text, table, and metadata extraction.