Releases: borb-pdf/borb
1.8.7
pText 1.8.7
This release features:
- more documentation
- ´setup.py´ and ´requirements.txt´ have changed to ensure pText can easily be installed
- support for embedded files in PDF
1.8.6
pText version 1.8.6
This is a documentation release.
The documentation percentage is now 90%
1.8.3
1.8.3
- Bugfix release
- Improvements to layout algorithm
- Improvements to IO (enabling a Document to be saved multiple times)
1.7.2
add ascii logo in manifest
1.7.1
include afm files in distribution
1.7.0
1.7.0
- implement various small changes to better adhere to PDF spec
- add DisjointShape as LayoutElement (allowing non-contiguous figures)
- add example for DisjointShape
- add CodeBlock as LayoutElement (auto-formats code)
- add example for CodeBlock
- add example(s) for merging Document objects
You can obtain pText either on GitHub, or using PyPi
There are a ton more examples, check them out to find out more about working with PDF.
1.6.0
1.6.0
- support for barcodes (CODE_128, CODE_39, EAN, EAN_13, EAN_14, EAN_8, GS_1, GS_128, GTIN, ISBN, ISBN_10, ISBN_13, ISSN, ITF, JAN, PZN, QR, UPC, UPC_A)
- support for outlines
- support for MatPlotLib plots
- uniform examples
- solve almost all mypy warnings
- small improvements in table layout mechanism
You can obtain pText either on GitHub, or using PyPi
There are a ton more examples, check them out to find out more about working with PDF.
1.5.0
1.5.0
- adding Image class to enable writing images to PDF
- more examples on writing PDF documents
- added padding to all LayoutElement implementations
- added background_color to all LayoutElement implementations
1.4.0
- refactor package structure
- refactor test-package structure
- use LayoutElement in structure recognition
- add more examples of writing documents from scratch
1.3.0
pText is now able to create PDF documents from scratch.
Enabling you to:
add text (using various fonts, colours, font-sizes, etc)
add tables and lists
use a layout to keep track of positions, free space, etc
Minor improvements to:
speed
performance on edge-cases in corpus
image handling