pdf-reader
PDF reading and extraction
Quellinformationen
- Repository
- ThinkfleetAI/thinkfleet-engine
- Letzte Quellaktivität
- 1. Februar 2026 um 16:21
- Erkannte Sprache von SKILL.md
- Englisch
- Sterne
- 0
- Forks
- 0
Installationsoptionen
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
SKILL.md wird angezeigt
SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau- name
- pdf-reader
- description
- PDF reading and extraction
- metadata
- {"thinkfleetbot_emoji":"📄","requires_bins":["python3"],"requires_env":[]}
# PDF Reader
Tools for reading, extracting, and manipulating PDF files.
## Extract text from PDF
```bash
# Using pdftotext (poppler-utils) if available
pdftotext input.pdf output.txt
# Using python with PyPDF2
python3 -c "
import PyPDF2
with open('input.pdf', 'rb') as f:
reader = PyPDF2.PdfReader(f)
for i, page in enumerate(reader.pages):
text = page.extract_text()
print(f'--- Page {i+1} ---')
print(text)
"
```
## Extract tables from PDF
```bash
python3 -c "
import sys
try:
import tabula
dfs = tabula.read_pdf('input.pdf', pages='all')
for i, df in enumerate(dfs):
print(f'--- Table {i+1} ---')
print(df.to_csv(index=False))
except ImportError:
print('Install tabula-py: pip install tabula-py')
sys.exit(1)
"
```
## Get PDF metadata
```bash
python3 -c "
import PyPDF2, json
with open('input.pdf', 'rb') as f:
reader = PyPDF2.PdfReader(f)
meta = reader.metadata
info = {
'title': meta.title if meta else None,
'author': meta.author if meta else None,
'subject': meta.subject if meta else None,
'creator': meta.creator if meta else None,
'pages': len(reader.pages),
}
print(json.dumps(info, indent=2, default=str))
"
```
## Convert PDF to text
```bash
python3 -c "
import PyPDF2
with open('input.pdf', 'rb') as f:
reader = PyPDF2.PdfReader(f)
text = []
for page in reader.pages:
text.append(page.extract_text() or '')
with open('output.txt', 'w') as out:
out.write('\n\n'.join(text))
print('Converted to output.txt')
"
```
## Merge PDFs
```bash
python3 -c "
import PyPDF2, sys
merger = PyPDF2.PdfMerger()
files = sys.argv[1:]
for pdf in files:
merger.append(pdf)
merger.write('merged.pdf')
merger.close()
print(f'Merged {len(files)} files into merged.pdf')
" file1.pdf file2.pdf file3.pdf
```
## Split PDF pages
```bash
python3 -c "
import PyPDF2
with open('input.pdf', 'rb') as f:
reader = PyPDF2.PdfReader(f)
for i, page in enumerate(reader.pages):
writer = PyPDF2.PdfWriter()
writer.add_page(page)
out_path = f'page_{i+1:03d}.pdf'
with open(out_path, 'wb') as out:
writer.write(out)
print(f'Wrote {out_path}')
print(f'Split into {len(reader.pages)} files')
"
```
## Extract images from PDF
```bash
python3 -c "
import PyPDF2, os
os.makedirs('extracted_images', exist_ok=True)
with open('input.pdf', 'rb') as f:
reader = PyPDF2.PdfReader(f)
img_count = 0
for page_num, page in enumerate(reader.pages):
for img_key in page.images:
img_count += 1
img = page.images[img_key]
ext = os.path.splitext(img.name)[1] or '.png'
out_path = f'extracted_images/page{page_num+1}_img{img_count}{ext}'
with open(out_path, 'wb') as out:
out.write(img.data)
print(f'Extracted {out_path}')
print(f'Total images extracted: {img_count}')
"
```
Auf GitHub ansehen