da03/Attention-OCR

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1117 stars · 355 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python/TensorFlow implementation of a visual attention-based OCR model that combines a sliding CNN, an LSTM, and an attention decoder to recognize text in images. It supports training on custom image-text datasets and includes a toy example based on Synth 90k.

Use cases

• recognize text in scene images with ocr
• train a custom ocr model on my own image dataset
• read text from images using deep learning
• scene text recognition with attention model
• extract characters from cropped word images
• build a cnn lstm attention ocr model

When to choose

• you need a trainable attention-based OCR model and can work with older TensorFlow versions
• you want to train text recognition on your own labeled image-text pairs
• you are researching CNN-LSTM-attention architectures for scene text

When to avoid

• you need a maintained library or modern TensorFlow/PyTorch support
• you want a ready-to-use OCR tool for documents without training
• your project requires recent releases or active community support

Facets

library · maturity abandoned

ocr machine-learning deep-learning image-processing computer-vision machine-learning python attention-model cnn-lstm scene-text-recognition tensorflow natural-language-processing linux macos

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markdown · JSON · MCP: product_card(name="da03/Attention-OCR")