txt-from-pdf: Extract clean text from PDFs
Extracting text from pdfs using pymupdf, but with a focus on cleaning and formatting the extracted text.
Installation
pip install txt-from-pdf
Usage
from txtfrompdf import extract_txt_from_pdf
pdf_path = "file.pdf"
text = extract_txt_from_pdf(pdf_path)
print(text)
CLI Usage
Single file:
txt-from-pdf --input file.pdf --output extracted-text
Multiple files in a directory:
txt-from-pdf --input dir-with-pdfs --output extracted-text
Detailed help:
usage: txt-from-pdf [-h] --input INPUT [--output OUTPUT] [--no_filter] [--size SIZE]
txt-from-pdf CLI - Extracts cleaned text from PDF files
options:
-h, --help show this help message and exit
--input INPUT Path to a folder containing PDFs or to a single PDF file. (Required)
--output OUTPUT Output location for the extracted text files. (Optional, default: 'extracted_text')
--no_filter Turn off cleaning the resulting text files. (Optional)
Release files for txt-from-pdf 1.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| txt-from-pdf-1.3.1.tar.gz | 11.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| txt_from_pdf-1.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.5 kB
Release files / txt-from-pdf-1.3.1.tar.gz
| Download URL | txt-from-pdf-1.3.1.tar.gz |
|---|---|
| Size | 11.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.0.0 CPython/3.10.10
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Release files / txt_from_pdf-1.3.1-py3-none-any.whl
| Download URL | txt_from_pdf-1.3.1-py3-none-any.whl |
|---|---|
| Size | 13.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.10
|