alisen39/TrWebOCR
Open-source offline Chinese OCR system with web interface and HTTP API for text recognition.
Not currently ranked — collecting fresh signals.
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TrWebOCR is an optical character recognition system built on the Tr deep learning project, specialized for Chinese text detection and recognition. It provides an easy-to-use web interface for manual OCR tasks and an HTTP API for programmatic integration. The system supports both CPU and GPU execution, handles rotated text at various angles, and can be deployed via Docker or directly on Linux servers.
Frequently asked
- What is alisen39/TrWebOCR?
- Open-source offline Chinese OCR system with web interface and HTTP API for text recognition.
- Is TrWebOCR open source?
- Yes — alisen39/TrWebOCR is open source, released under the Apache-2.0 license.
- What language is TrWebOCR written in?
- alisen39/TrWebOCR is primarily written in Python.
- How popular is TrWebOCR?
- alisen39/TrWebOCR has 2.9k stars on GitHub.
- Where can I find TrWebOCR?
- alisen39/TrWebOCR is on GitHub at https://github.com/alisen39/TrWebOCR.