An integrated fine-tuning platform for lightweight vlmOCR models
-
Updated
May 15, 2026 - Vue
#
dotsocr
Here are 6 public repositories matching this topic...
Multimodal-OCR3 is a highly capable, experimental optical character recognition and visual processing suite designed for precise text extraction, document parsing, and markdown generation. Leveraging a powerful selection of vision-language.
python ocr pillow pytorch matplotlib gradio ocr-recognition nanonets huggingface-transformers vision-transformer huggingface-models huggingface-spaces vision-language-model qwen2-5-vl qwen3-vl chandra-ocr dotsocr olmocr2
-
Updated
Mar 23, 2026 - Python
📄 Extract text from images effortlessly with Multimodal-OCR3, utilizing advanced multimodal models for robust and customizable OCR solutions.
ocr pillow pytorch matplotlib ocr-recognition nanonets inference-optimization huggingface-transformers vision-transformer huggingface-models sota-model huggingface-spaces vision-language-model multimodal-large-language-models qwen3-vl chandra-ocr dotsocr olmocr2
-
Updated
May 31, 2026 - Python
DotsOCR-VLLM-DB is a self-hosted, GPU-accelerated document understanding pipeline. It turns messy real-world inputs — scanned PDFs, native PDFs, DOCX files, and images — into clean, structured outputs (Markdown, JSON layout, and reconstructed DOCX) .
python pdf ocr pdftotext ocr-recognition pdf-parser pdf-document-processor pdftomarkdown pdftodcm vllm dotsocr
-
Updated
May 29, 2026 - Python
Extract text from images using a robust OCR model designed for accuracy and efficiency in varied visual contexts.
android markdown crawler ai log html-to-markdown scraping fragment web-scraper bar data-extraction encrypt dots web-data-extraction ai-agents finetuning web-data ai-scraping dotsocr
-
Updated
May 31, 2026 - Python
Improve this page
Add a description, image, and links to the dotsocr topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the dotsocr topic, visit your repo's landing page and select "manage topics."