Releases: Unstructured-IO/unstructured
Releases · Unstructured-IO/unstructured
0.16.23
0.16.22
0.16.21
Enhancements
-
Use password to load PDF with all modes
-
use vectorized logic to merge inferred and extracted layouts. Using the new
LayoutElements
data structure and numpy library to refactor the layout merging logic to improve compute performance as well as making logic more clear -
Add PDF Miner configuration Now PDF Miner can be configured via
pdfminer_line_overlap
,pdfminer_word_margin
,pdfminer_line_margin
andpdfminer_char_margin
parameters added to partition method.
Features
Fixes
- Fix file type detection for NDJSON files NDJSON files were being detected as JSON due to having the same mime-type.
0.16.20
0.16.20
Enhancements
Features
Fixes
- Fix a security issue where rst and org files could read files in the local filesystem. Certain filetypes could 'include' or 'import' local files into their content, allowing partitioning of arbitrary files from the local filesystem. Partitioning of these files is now sandboxed.
0.16.19
Enhancements
Features
Fixes
- Fix a bug where table extraction is skipped when it shouldn't. Pages with just one table as its content or starts with a table misses table extraction. The routing logic is now fixed.
- Correct deprecated
ruff
invocation inmake tidy
. This will future-proof it or avoid surprises if someone happens to upgrade Ruff. - Remove upper bound constraint on python version in setup.py. Python3.13 is not yet officially supported, but allow users to try.
- Fixes removing HTML elements from the inside of table cells in html partition v=2.0. The HTML partitioner now correctly preserves HTML elements from the inside of table cells.
0.16.17
0.16.17
Enhancements
- Refactoring the VoyageAI integration to use voyageai package directly, allowing extra features.
Features
Fixes
- Fix a bug where
build_layout_elements_from_cor_regions
incorrectly joins texts in wrong order.
Full Changelog: 0.16.16...0.16.17
0.16.16
0.16.16
Enhancements
Features
- Vectorize layout (inferred, extracted, and OCR) data structure Using
np.ndarray
to store a group of layout elements or text regions instead of using a list of objects. This improves the memory efficiency and compute speed around layout merging and deduplication.
Fixes
- Add auto-download for NLTK for Python Enviroment When user import tokenize, It will automatic download nltk data from
tokenize.py
file. AddedAUTO_DOWNLOAD_NLTK
flag intokenize.py
to downloadNLTK_DATA
. - Correctly patch pdfminer to avoid PDF repair. The patch applied to pdfminer's parser caused it to occasionally split tokens in content streams, throwing
PDFSyntaxError
. Repairing these PDFs sometimes failed (since they were not actually invalid) resulting in unnecessary OCR fallback.
- Drop usage of ndjson dependency
0.16.15
0.16.14
Enhancements
Features
Fixes
- Fix an issue with multiple values for
infer_table_structure
when paritioning email with image attachements the kwarg calls intopartition
to partition the image already containsinfer_table_structure
. Nowpartition
function checks if thekwarg
hasinfer_table_structure
already
0.16.13
Enhancements
- Add character-level filtering for tesseract output. It is controllable via
TESSERACT_CHARACTER_CONFIDENCE_THRESHOLD
environment variable.
Features
Fixes
- Fix NLTK Download to use nltk assets in docker image
- removed the ability to automatically download nltk package if missing