VietOCR
The facts below are what the maker publishes about VietOCR, checked and dated. Our editors have not written about it yet.
Plans and prices
From VietOCR's own pricing page, checked 11 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| VietOCR | Free | Open-source Python library · Apache 2.0 license |
The facts
Each one read from VietOCR's own pages, with the date it was checked.
What it does
- Dataset format
- Training and test annotation files contain an image filename and label separated by a tab.checked 11 Oct 2026
- Handwriting OCR
- Yeschecked 23 Sep 2026
- Inference
- The Python Predictor can run inference using a pretrained model or user-trained weights, with CUDA or CPU device settings shown.checked 11 Oct 2026
- Installation
- The project README gives `pip install vietocr` as the installation command.checked 11 Oct 2026
- Known limitation
- The author says pretrained models can be sensitive to small input-image changes on new datasets and recommends retraining for practical use.checked 11 Oct 2026
- License
- The GitHub repository states that the library is released under the Apache 2.0 license.checked 11 Oct 2026
- Model architectures
- It provides Attention Seq2Seq and Transformer OCR model types.checked 11 Oct 2026
- Model data
- The project says its models were trained on a 10-million-image dataset that includes generated images, handwriting, and scanned documents.checked 11 Oct 2026
- Model options
- The project offers VGG Transformer and VGG Seq2Seq pretrained models.checked 11 Oct 2026
- Performance
- The README reports full-sequence precision of 0.8800 for VGG Transformer and 0.8701 for VGG Seq2Seq on its 10-million-image experiment.checked 11 Oct 2026
- Purpose
- VietOCR is a library for OCR, with models for recognizing handwritten and printed Vietnamese text.checked 11 Oct 2026
- Speed tradeoff
- The README reports prediction times of 86 ms for VGG Transformer and 12 ms for VGG Seq2Seq on a 1080 Ti.checked 11 Oct 2026
- Support
- The README directs users with problems to create an issue or contact the author by email.checked 11 Oct 2026
- Supported inputs
- imagechecked 23 Sep 2026
- Training
- Users can train models on their own datasets and define custom image augmentation.checked 11 Oct 2026
Money
- Free plan
- Yeschecked 23 Sep 2026
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