emedvedev/attention-ocr

Health v2 · maintenance only

Adoption not part of the score

1086 stars · 248 forks observed · 2026-08-28

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

A TensorFlow-based OCR model using a CNN plus seq2seq architecture with visual attention for text recognition in images. It ships as a Python package with a CLI for building datasets, training, testing, and exporting trained models.

Use cases

• recognize text in images with a deep learning OCR model
• train a custom OCR model on my own labeled image dataset
• export a trained OCR model as a SavedModel or frozen graph
• run OCR training on Google Cloud ML Engine
• visualize attention weights during OCR testing

When to choose

• you need trainable, customizable text recognition rather than off-the-shelf OCR
• you want a CNN + attention seq2seq model in TensorFlow 1.x
• you plan to train on your own image/label pairs and export for deployment

When to avoid

• you need TensorFlow 2.x support
• you want a ready-to-use pretrained OCR without training
• you need actively maintained software with recent updates

Facets

library · maturity maintenance

ocr machine-learning image-processing deep-learning computer-vision machine-learning image-processing python cloud tensorflow seq2seq attention cnn text-recognition google-cloud-ml cli linux macos

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markdown · JSON · MCP: product_card(name="emedvedev/attention-ocr")