bgshih/crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

51
/ 100
Established

This software helps you automatically read and transcribe text from images, like photos of street signs or scanned documents. You input an image containing text, and it outputs the recognized words or characters. This is ideal for anyone working with visual data who needs to extract textual information quickly and accurately, such as data entry specialists, archivists, or researchers.

2,100 stars. No commits in the last 6 months.

Use this if you need to extract sequences of text from images, especially in real-world scenes or from scanned documents, for tasks like digitizing information or making visual content searchable.

Not ideal if you primarily need to detect the location of text without necessarily transcribing it, or if you are working with extremely low-resolution or heavily obscured text.

Optical Character Recognition Image Text Extraction Data Digitization Scene Text Recognition Document Processing
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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Stars

2,100

Forks

550

Language

Lua

License

MIT

Last pushed

Mar 04, 2019

Commits (30d)

0

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