documents
Gemini Document Processing - PDF analysis and extraction
Installation
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
Voir la source ↗GuidesInstructions
Documents Skill
Process PDFs with native vision - text, images, charts, tables.
Features
- Analyze up to 1000 pages per PDF
- Extract structured data
- Summarize and Q&A
- Transcribe with formatting
Usage
from rhea_noir.skills.documents.actions import skill as docs
# Summarize a PDF
result = docs.summarize("path/to/document.pdf")
# Ask questions
result = docs.ask("path/to/document.pdf", "What are the key findings?")
# Extract structured data
result = docs.extract(
"path/to/invoice.pdf",
fields=["total", "date", "items"]
)
# Compare multiple PDFs
result = docs.compare(
["paper1.pdf", "paper2.pdf"],
question="What are the differences?"
)
Limits
- 50MB or 1000 pages per PDF
- 258 tokens per page
Exemples
Consultez les exemples du dépôt source.
Voir la source ↗Historique source
- Date d’indexation
- 2026-01-20
- Mise à jour de l’index
- 2026-01-26
- Branch
- main
Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.
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