#145 · Primary category: Computer Vision

SimpleHTR

deep-learning handwritten-text-recognition machine-learning ocr recurrent-neural-networks tensorflow

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

Project last updated:06/25/26

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2.2K

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916

Contributors

10

License

MIT

Why we included this project

SimpleHTR turns images of handwriting into plain text. It runs on TensorFlow and was trained on the IAM dataset, and it accepts either single-word crops or full text-line images, returning the recognized string with a confidence score. That makes it a practical fit for digitizing scanned documents or processing forms. The bundled pretrained weights work for inference right away, and you can also retrain on your own handwriting samples and choose among CTC decoders, including a dictionary-constrained word beam search that cuts errors on known vocabulary. The network is compact, roughly five CNN layers and two LSTM layers with CTC decoding, so it is much easier to study and adapt than most production OCR stacks, though you will probably want the companion HTRPipeline project once you need whole-page layout handling.

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