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Looks interesting. Normally when I'm "cleaning" up scans I use unpaper, but although there is some overlap in functionality it doesn't do the same. Anyway very

Looks interesting. Normally when I'm "cleaning" up scans I use unpaper, but although there is some overlap in functionality it doesn't do the same. Anyway very nice writeup and I will add it to my arsenal and give it a closer look later. Could be useful for my document archive+ocr solution. Edit: too bad seems like it didn't see any activity in the last year

eadmund 9y ago
> Edit: too bad seems like it didn't see any activity in the last year That's not necessarily bad: sometimes a piece of software can be done, or nearly so.
- BlackLotus89 9y ago
  Yup but a project like this would have an empty issue tracker this one not so much ;) (which doesn't mean that it's a bad project or that I wont use it. it means that I will probably start to work on it)
  - foleac 9y ago
    There actually was some activity in three different branches in january: https://github.com/kskyten/noteshrink/network https://github.com/kskyten/noteshrink/network
    - BlackLotus89 9y ago
      Yeah on a branch of a fork.
krick 9y ago
Could you expand on your archive+ocr? I long wanted to start doing something like this, but never got to. I guess reading others' experience can be useful.
mkjmkumar 9y ago
I have made some progress on this as my home project using same compression and scan. I call it DFA - digital file analytics where data/images/scanned documents are sent remotely using Kafka to Hadoop and then run OCR to extract text and compression. If the document is more then 10MB go to HBase otherwise HDFS. Near real-time streaming using Spark and Flink is done too. Visualization using Banana dashboard is not so cool as it shows word counts, storage location, images and tags. Analytics on top of extracted data using ML would like to do next. More you can find at https://medium.com/@mukeshkumar_46704/digital-files-ingestion-platform-dfip-a-real-time-data-ingestion-platform-163f25f87dd https://medium.com/@mukeshkumar_46704/digital-files-ingestio...

eadmund 9y ago

> Edit: too bad seems like it didn't see any activity in the last year That's not necessarily bad: sometimes a piece of software can be done, or nearly so.

BlackLotus89 9y ago
Yup but a project like this would have an empty issue tracker this one not so much ;) (which doesn't mean that it's a bad project or that I wont use it. it means that I will probably start to work on it)
- foleac 9y ago
  There actually was some activity in three different branches in january: https://github.com/kskyten/noteshrink/network https://github.com/kskyten/noteshrink/network
  - BlackLotus89 9y ago
    Yeah on a branch of a fork.

krick 9y ago

Could you expand on your archive+ocr? I long wanted to start doing something like this, but never got to. I guess reading others' experience can be useful.

mkjmkumar 9y ago

I have made some progress on this as my home project using same compression and scan. I call it DFA - digital file analytics where data/images/scanned documents are sent remotely using Kafka to Hadoop and then run OCR to extract text and compression. If the document is more then 10MB go to HBase otherwise HDFS. Near real-time streaming using Spark and Flink is done too. Visualization using Banana dashboard is not so cool as it shows word counts, storage location, images and tags. Analytics on top of extracted data using ML would like to do next. More you can find at https://medium.com/@mukeshkumar_46704/digital-files-ingestion-platform-dfip-a-real-time-data-ingestion-platform-163f25f87dd https://medium.com/@mukeshkumar_46704/digital-files-ingestio...