DF Extract Lib
Requirements
Python 3.10+ asyncio
Installation
# Using pip
$ python -m pip install df-extract
# Manual install
$ python -m pip install .
1. To extract content from PDF
from df_extract.pdf import ExtractPDF
path = "/home/test/ABC.pdf"
extract_pdf = ExtractPDF(file_path=path)
# By default, output as text
await extract_pdf.extract() # Output will be located `/home/test/ABC.pdf.txt`
# Output as json
await extract_pdf.extract(as_json=True) # Output will be located `/home/test/ABC.pdf.json`
You can change the output directory with simply pass
output_dirparam
from df_extract.pdf import ExtractPDF
path = "/home/test/ABC.pdf"
extract_pdf = ExtractPDF(file_path=path, output_dir="/home/test/output")
await extract_pdf.extract()
Extract content from PDF with image data
This requires
easyocr
from df_extract.base import ImageExtract
from df_extract.pdf import ExtractPDF
path = "/home/test/ABC.pdf"
image_extract = ImageExtract(model_download_enabled=True)
extract_pdf = ExtractPDF(file_path=path, image_extract=image_extract)
await extract_pdf.extract()
2. To extract content from PPT and PPTx
from df_extract.pptx import ExtractPPTx
path = "/home/test/DEF.pptx"
extract_pptx = ExtractPPTx(file_path=path)
# By default, output as text
await extract_pptx.extract() # Output will be located `/home/test/DEF.pptx.txt`
# Output as json
await extract_pptx.extract(as_json=True) # Output will be located `/home/test/DEF.pptx.json`
3. To extract content from Doc and Docx
from df_extract.docx import ExtractDocx
path = "/home/test/GHI.docx"
extract_docx = ExtractDocx(file_path=path)
# By default, output as text
await extract_docx.extract() # Output will be located `/home/test/GHI.docx.txt`
# Output as json
await extract_docx.extract(as_json=True) # Output will be located `/home/test/GHI.docx.json`
4. To extract content from PNG, JPEG and JPG
from df_extract.image import ExtractImage
path = "/home/test/JKL.png"
extract_png = ExtractImage(file_path=path)
# By default, output as text
await extract_png.extract() # Output will be located `/home/test/JKL.png.txt`
# Output as json
await extract_png.extract(as_json=True) # Output will be located `/home/test/JKL.png.json`
Metadata
Release files for df-extract 0.0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| df_extract-0.0.2.1.tar.gz | 11.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| df_extract-0.0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.7 kB
Release files / df_extract-0.0.2.1.tar.gz
| Download URL | df_extract-0.0.2.1.tar.gz |
|---|---|
| Size | 11.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c162dd85881866b8479a969135925ad7d0b881ade7e34ada88ff95b531bd632c
|
|
BLAKE2b-256 checksum How to use checksums |
94b1203a533b073939f66c08b151b02f55a5be4298fd96fc9685175c343df86d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.18
|
Release files / df_extract-0.0.2.1-py3-none-any.whl
| Download URL | df_extract-0.0.2.1-py3-none-any.whl |
|---|---|
| Size | 14.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d46d15d8e08dce13904b9ac88ec25d28a40ddac3c8ccb3c39fb5189eb0743004
|
|
BLAKE2b-256 checksum How to use checksums |
af6dd33a87d3de22eccba3495ffa53057f27a027f0eda89d0c1736c18c03aabd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.18
|