riordino 2026.4.5

Intelligent scanned PDF organizer — splits bulk scans into separate, well-named documents using AI

riordino

Intelligent scanned PDF organizer — Splits a bulk-scanned PDF into separate, well-named documents using AI.

riordino takes one or more PDFs (the kind you get from scanning an entire stack of mixed paperwork at once) and treats them as a single bulk to analyze.

How It Works

┌────────────────┐
│  Input PDF(s)  │  (bulk scans with mixed documents)
└──────┬─────────┘
       ▼
 1. Load & merge input PDFs, render pages
       ▼
 2. Detect and remove blank pages
       ▼
 3. Detect and correct rotation (Tesseract OSD)
       ▼
 4. Analyze each page with Gemini (batched)
    → title, date, type, subject, priority, description
       ▼
 5. Aggregate pages into logical document groups
       ▼
 6. Determine correct page order within each group
       ▼
 7. Split PDF and write output files
       ▼
┌──────────────────────────────────────────────┐
│  Output: separate PDFs + JSON metadata each  │
└──────────────────────────────────────────────┘

Features

• Blank page removal — detects and strips scanner-introduced blank pages using pixel variance analysis
• Automatic rotation correction — uses Tesseract OSD to detect and fix page orientation
• AI-powered analysis — Google Gemini extracts structured metadata from each page (title, date, type, priority, and more)
• Smart document grouping — pages are aggregated into logical documents based on content, subject, dates, and page numbering
• Intelligent page ordering — reconstructs the correct reading order within each document
• Descriptive filenames — output files are named with dates, subjects, and descriptions (e.g., 2024-03_ccss_certificate.pdf)
• JSON sidecar metadata — each output PDF has a companion JSON file with full extracted metadata
• Configurable language support — --language flag constrains Tesseract and Gemini to specific languages (23 languages supported)
• Selective pipeline control — skip individual steps with --skip-blanks, --skip-rotation, --skip-analysis, --skip-aggregation, --skip-ordering
• Dependency checks — verifies Tesseract, language packs, and API keys before running
• Dry-run mode — preview the plan without writing any files
• Step-by-step debugging — optionally save all intermediate outputs for inspection

Prerequisites

• Python 3.14+
• Tesseract OCR with OSD data
• Google API key with access to the Gemini API

Installing Tesseract

# Arch Linux
sudo pacman -S tesseract tesseract-data-osd

# Ubuntu / Debian
sudo apt install tesseract-ocr tesseract-ocr-osd

# macOS
brew install tesseract

Install language data packages for each language you plan to use (riordino checks for these at startup):

# Arch Linux (example: German, French, Italian, Polish)
sudo pacman -S tesseract-data-deu tesseract-data-fra tesseract-data-ita tesseract-data-pol

# Ubuntu / Debian
sudo apt install tesseract-ocr-deu tesseract-ocr-fra tesseract-ocr-ita tesseract-ocr-pol

Installation

git clone https://github.com/YOUR_USERNAME/riordino.git
cd riordino

python -m venv .venv
source .venv/bin/activate

pip install .

Create a .env file in the project root:

GOOGLE_API_KEY=your_api_key_here
RIORDINO_LANGUAGES=en,de,fr,it,pl

RIORDINO_LANGUAGES sets the default for --language. If omitted, defaults to en.

Docker

docker build -t riordino .

# Install additional language packs at build time:
docker build -t riordino --build-arg LANGS="deu fra ita" .

docker run --rm \
  -e GOOGLE_API_KEY \
  -v "$PWD":/data \
  riordino /data/scan.pdf -o /data/output/

Development setup

pip install -e '.[dev]'  # installs ruff, mypy, pytest

Usage

# Single PDF
python riordino.py scan.pdf

# Multiple PDFs (merged into one bulk for analysis)
python riordino.py scan1.pdf scan2.pdf scan3.pdf

This processes the input PDF(s) and writes the split documents to the same directory as the first input file.

CLI Reference

Option	Default	Description
input_pdf	(required)	Path(s) to scanned PDF file(s) — multiple files are merged into one bulk
-o, --output-dir	Same as input file	Directory for output files
-b, --blank-threshold	0.001	Pixel variance threshold for blank page detection (0.0–1.0)
-n, --dry-run	off	Show the processing plan without writing any files
--dpi	150	DPI for page rendering (72–600)
--model	gemini-3.1-flash-lite-preview	Gemini model to use
-l, --language	$RIORDINO_LANGUAGES or en	Comma-separated ISO 639-1 language codes
--batch-size	10	Number of pages per LLM analysis batch (1–50)
--max-retries	3	Maximum API retry attempts on failure (0–10)
--save-steps	off	Save intermediate outputs to an _steps/ subdirectory
--skip-blanks	off	Skip blank page detection (keep all pages)
--skip-rotation	off	Skip rotation detection and correction
--skip-analysis	off	Skip LLM page analysis (implies --skip-aggregation)
--skip-aggregation	off	Skip LLM document grouping (implies --skip-ordering)
--skip-ordering	off	Skip LLM page ordering within documents

Next Steps

• Publish to PyPI for pip install riordino
• Add a --verbose / --quiet flag for log level control
• Explore local/open-source LLM backends as an alternative to Gemini
• Support OCR-based text extraction as a fallback when Gemini is unavailable