Nidaba
Contents
- 1 Synopsis
- 2 Features
- 3 User commentary
- 4 System requirements
- 5 Source code and licensing
- 6 Support for TEI
- 7 Language(s)
- 8 Documentation
- 9 Tech support
- 10 User community
- 11 Sample implementations
- 12 Current version number and date of release
- 13 History of versions
- 14 How to download or buy
- 15 Additional notes
- 16 References
Synopsis
"Nidaba is an open source distributed optical character recognition pipeline that makes it easy to preprocess, OCR, and postprocess scans of text documents in a multitude of ways."<ref>http://openphilology.github.io/nidaba/index.html</ref>
Features
"Nidaba does a bunch of things for you:
- Grayscale Conversion
- Binarization
- Deskewing
- Dewarping
- OCR
- Spell-checking
- TEI output
- Format Conversion"<ref>http://openphilology.github.io/nidaba/index.html</ref>
User commentary
Please sign all comments.
System requirements
http://openphilology.github.io/nidaba/index.html#installation
Source code and licensing
http://openphilology.github.io/nidaba/index.html#licensing-and-authorship
Support for TEI
"Nidaba is capable of encoding the OCR results and their metadata into XML documents following the most recent P5 guidelines. The output is designed to facilitate further manual annotation."<ref>http://openphilology.github.io/nidaba/tei.html</ref>
Language(s)
Documentation
http://openphilology.github.io/nidaba/index.html
Tech support
User community
Sample implementations
Current version number and date of release
0.9.7
History of versions
How to download or buy
https://pypi.python.org/pypi/nidaba/0.9.7
Additional notes
References
<references/>