githubharald/SimpleHTR
SimpleHTR
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
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githubharald
githubharald • individual
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Created
Jun 13, 2018
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README Summary
SimpleHTR is a Handwritten Text Recognition system implemented with TensorFlow that can read handwritten text from images. The system uses a CNN-RNN architecture to process handwritten text and convert it to digital text. It includes pre-trained models and supports training on custom datasets.
AI Dev Skills
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Convolutional Neural NetworksRecurrent Neural NetworksComputer VisionImage PreprocessingSequence-to-Sequence ModelingOptical Character RecognitionDeep Learning Model TrainingTensorFlow Implementation
Tags
Convolutional Neural NetworksRecurrent Neural NetworksComputer VisionImage PreprocessingSequence-to-Sequence ModelingOptical Character RecognitionDeep Learning Model TrainingTensorFlow ImplementationHistorical Document TranscriptionDocument AIImageTextArchive DigitizationEducationGovernmentFinancial ServicesHandwritten Note RecognitionOn-premiseHandwritten Document DigitizationDocument ManagementOn-device AIHealthcareLegal TechSelf-hostedForm Processing AutomationPython
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Updated 2 months ago
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prototype- Quality
- medium
- Maturity
- prototype
Categories
Dev Tools & AutomationPrimaryHealthcare & BiologyFinance & LegalEdge & Mobile AIOther AI / MLModel TrainingComputer Vision
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Python100.0%
Timeline
- Project created
- Jun 13, 2018
- Forked
- Mar 23, 2026
- Your last push
- 2 months ago
- Upstream last push
- 2 months ago
- Tracked since
- Jan 31, 2026
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