pdf-processing
Extract text and tables from PDF files, fill forms, merge documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.
Informações da origem
- Repositório
- FreedomIntelligence/OpenClaw-Medical-Skills
- Última atividade na origem
- 10 de março de 2026 às 03:33
- Idioma detectado do SKILL.md
- inglês
- Estrelas
- 3.038
- Forks
- 411
Opções de instalação
Por padrão, está selecionado o prompt que primeiro revisa a origem. Você pode mudar para um comando direto ou baixar uma cópia local.
Revise os arquivos de origem
Leia o SKILL.md e os arquivos complementares exibidos pelo SkillsMP antes de decidir se vai instalar.
Explorador de arquivos
2 arquivosExibindo SKILL.md
SKILL.md
Instruções da origem · Visualização somente leitura- name
- pdf-processing
- description
- Extract text and tables from PDF files, fill forms, merge documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.
# PDF Processing
## Quick start
Use pdfplumber to extract text from PDFs:
```python
import pdfplumber
with pdfplumber.open("document.pdf") as pdf:
text = pdf.pages[0].extract_text()
print(text)
```
## Extracting tables
Extract tables from PDFs with automatic detection:
```python
import pdfplumber
with pdfplumber.open("report.pdf") as pdf:
page = pdf.pages[0]
tables = page.extract_tables()
for table in tables:
for row in table:
print(row)
```
## Extracting all pages
Process multi-page documents efficiently:
```python
import pdfplumber
with pdfplumber.open("document.pdf") as pdf:
full_text = ""
for page in pdf.pages:
full_text += page.extract_text() + "\n\n"
print(full_text)
```
## Form filling
For PDF form filling, see [FORMS.md](FORMS.md) for the complete guide including field analysis and validation.
## Merging PDFs
Combine multiple PDF files:
```python
from pypdf import PdfMerger
merger = PdfMerger()
for pdf in ["file1.pdf", "file2.pdf", "file3.pdf"]:
merger.append(pdf)
merger.write("merged.pdf")
merger.close()
```
## Splitting PDFs
Extract specific pages or ranges:
```python
from pypdf import PdfReader, PdfWriter
reader = PdfReader("input.pdf")
writer = PdfWriter()
# Extract pages 2-5
for page_num in range(1, 5):
writer.add_page(reader.pages[page_num])
with open("output.pdf", "wb") as output:
writer.write(output)
```
## Available packages
- **pdfplumber** - Text and table extraction (recommended)
- **pypdf** - PDF manipulation, merging, splitting
- **pdf2image** - Convert PDFs to images (requires poppler)
- **pytesseract** - OCR for scanned PDFs (requires tesseract)
## Common patterns
**Extract and save text:**
```python
import pdfplumber
with pdfplumber.open("input.pdf") as pdf:
text = "\n\n".join(page.extract_text() for page in pdf.pages)
with open("output.txt", "w") as f:
f.write(text)
```
**Extract tables to CSV:**
```python
import pdfplumber
import csv
with pdfplumber.open("tables.pdf") as pdf:
tables = pdf.pages[0].extract_tables()
with open("output.csv", "w", newline="") as f:
writer = csv.writer(f)
for table in tables:
writer.writerows(table)
```
## Error handling
Handle common PDF issues:
```python
import pdfplumber
try:
with pdfplumber.open("document.pdf") as pdf:
if len(pdf.pages) == 0:
print("PDF has no pages")
else:
text = pdf.pages[0].extract_text()
if text is None or text.strip() == "":
print("Page contains no extractable text (might be scanned)")
else:
print(text)
except Exception as e:
print(f"Error processing PDF: {e}")
```
## Performance tips
- Process pages in batches for large PDFs
- Use multiprocessing for multiple files
- Extract only needed pages rather than entire document
- Close PDF objects after use
Ver no GitHub