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Readme: more media

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James R. Barlow
2018-12-19 15:27:54 -08:00
parent cc8ff318ed
commit 9261a38493
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README.md
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@@ -28,17 +28,17 @@ ocrmypdf # it's a scriptable command line program
Main features
-------------
- Generates a searchable [PDF/A](https://en.wikipedia.org/?title=PDF/A) file from a regular PDF
- Places OCR text accurately below the image to ease copy / paste
- Keeps the exact resolution of the original embedded images
- When possible, inserts OCR information as a "lossless" operation without disrupting any other content
- Optimizes PDF images, often producing files smaller than the input file
- If requested deskews and/or cleans the image before performing OCR
- Validates input and output files
- Distributes work across all available CPU cores
- Uses [Tesseract OCR](https://github.com/tesseract-ocr/tesseract) engine
- Supports more than [100 languages](https://github.com/tesseract-ocr/tessdata) recognized by Tesseract
- Battle-tested on thousands of PDFs, a test suite and continuous integration
- Generates a searchable [PDF/A](https://en.wikipedia.org/?title=PDF/A) file from a regular PDF
- Places OCR text accurately below the image to ease copy / paste
- Keeps the exact resolution of the original embedded images
- When possible, inserts OCR information as a "lossless" operation without disrupting any other content
- Optimizes PDF images, often producing files smaller than the input file
- If requested deskews and/or cleans the image before performing OCR
- Validates input and output files
- Distributes work across all available CPU cores
- Uses [Tesseract OCR](https://github.com/tesseract-ocr/tesseract) engine
- Supports more than [100 languages](https://github.com/tesseract-ocr/tessdata) recognized by Tesseract
- Battle-tested on thousands of PDFs, a test suite and continuous integration
For details: please consult the [documentation](https://ocrmypdf.readthedocs.io/en/latest/).
@@ -47,13 +47,13 @@ Motivation
I searched the web for a free command line tool to OCR PDF files on Linux/UNIX: I found many, but none of them were really satisfying.
- Either they produced PDF files with misplaced text under the image (making copy/paste impossible)
- Or they did not handle accents and multilingual characters
- Or they changed the resolution of the embedded images
- Or they generated ridiculously large PDF files
- Or they crashed when trying to OCR
- Or they did not produce valid PDF files
- On top of that none of them produced PDF/A files (format dedicated for long time storage)
- Either they produced PDF files with misplaced text under the image (making copy/paste impossible)
- Or they did not handle accents and multilingual characters
- Or they changed the resolution of the embedded images
- Or they generated ridiculously large PDF files
- Or they crashed when trying to OCR
- Or they did not produce valid PDF files
- On top of that none of them produced PDF/A files (format dedicated for long time storage)
...so I decided to develop my own tool.
@@ -110,11 +110,11 @@ Our [documentation is served on Read the Docs](https://ocrmypdf.readthedocs.io/e
If you detect an issue, please:
- Check whether your issue is already known
- If no problem report exists on github, please create one here: <https://github.com/jbarlow83/OCRmyPDF/issues>
- Describe your problem thoroughly
- Append the console output of the script when running the debug mode (`-v 1` option)
- If possible provide your input PDF file as well as the content of the temporary folder (using a file sharing service like Dropbox)
- Check whether your issue is already known
- If no problem report exists on github, please create one here: <https://github.com/jbarlow83/OCRmyPDF/issues>
- Describe your problem thoroughly
- Append the console output of the script when running the debug mode (`-v 1` option)
- If possible provide your input PDF file as well as the content of the temporary folder (using a file sharing service like Dropbox)
Requirements
------------
@@ -124,8 +124,10 @@ Runs on CPython 3.5, 3.6 and 3.7. Requires external program installations of Gho
Press & Media
-------------
- [c't 1-2014, page 59](http://heise.de/-2279695): Detailed presentation of OCRmyPDF v1.0 in the leading German IT magazine c't
- [heise Open Source, 09/2014: Texterkennung mit OCRmyPDF](http://heise.de/-2356670)
- [Going paperless with OCRmyPDF](https://medium.com/@ikirichenko/going-paperless-with-ocrmypdf-e2f36143f46a)
- [Converting a scanned document into a compressed searchable PDF with redactions](https://medium.com/@treyharris/converting-a-scanned-document-into-a-compressed-searchable-pdf-with-redactions-63f61c34fe4c)
- [c't 1-2014, page 59](http://heise.de/-2279695): Detailed presentation of OCRmyPDF v1.0 in the leading German IT magazine c't
- [heise Open Source, 09/2014: Texterkennung mit OCRmyPDF](http://heise.de/-2356670)
License
-------