Tencent/WeVisDoc
About the project
WeVisDoc is an end-to-end document parser built on Qwen3-VL that converts page images into structured Markdown with LaTeX formulas and HTML tables. 2B and 4B versions are available, served via vLLM.
Useful for
- Serve WeVisDoc-2B with vLLM and parse a batch of page images into Markdown
- Extract text, formulas and tables from scanned PDFs for downstream processing
- Deploy the document parsing service across multiple GPUs with tensor parallelism
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 31 stars so far today, about 35 expected by the end of the day.
- The spike has held for 3 days in a row — not a one-off blip.
- The repository is 5 days old and already has 76 stars.
- Top new repositories this week: #189.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 76
- Stars in a day
- 35
- Forks
- 1
- Issues and pull requests
- 0
- Watchers
- 0
- Language
- Python
- License
- Apache-2.0
- Created
- September 14, 2026
- Last push
- September 18, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 19, 2026Top new repositories this week: #189
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