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pix2tex: Using a ViT to convert images of equations into LaTeX code.
- machine-learning
- transformer
- im2latex
- deep-learning
TranslatedAn entry-level project for face, video, and text detection and recognition.
TranslatedA GUI tool for extracting hard-coded subtitle (hardsub) from videos and generating srt files. Extracts hard subtitles from videos and generates srt files. No need to apply for a third-party API; text recognition is done locally. A deep-learning-based video subtitle extraction framework, including subtitle region detection and subtitle content extraction.
Multilingual Document Layout Parsing in a Single Vision-Language Model
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
📄 Awesome OCR multiple programing languages toolkits based on ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT and PyTorch.
- ocr
- onnxruntime
- crnn
- dbnet
Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
A Unified Toolkit for Deep Learning Based Document Image Analysis
- layout-analysis
- deep-learning
- object-detection
- ocr
TranslatedYet another computer-aided comic/manga translation tool powered by deeplearning. Supports one-click machine translation and simple image/text editing.
- comics
- computer-aided-translation
- deep-learning
- manga
Visual Causal Flow
WeVisDoc is an end-to-end document parser for page images. Fine-tuned from Qwen3-VL-2B-Instruct and Qwen3-VL-4B-Instruct, it turns a page into structured Markdown, with LaTeX formulas and HTML tables.
Youtu-Parsing: Perception, Structuring and Recognition via High-Parallelism Decoding && Youtu-Parsing-Omni: One Encoder, One Schema, All Modalities
Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark
- text-recognition
- ocr-recognition
- domain-adaptation
- multi-source-domain-adaptation
On-device Vision Model - a fully offline, free vision pipeline that gives text-only models (e.g. DeepSeek) image understanding and multilingual OCR through an OpenAI-compatible local API. Only tokens are needed: no API key, no subscription, no cloud cost. Recommended for native speakers of Chinese, English, Japanese and Korean.