Honeyπ Technologies

HoneyPi ScannerBasic Edition

The straightforward way to start digitizing paper

HoneyPi Scanner is our entry-level capture tool. It connects to your existing laptop or desktop — there's no dedicated standalone hardware or AutoSettings automation here, just a reliable, manually-driven scan-to-PDF workflow built on the same core image pipeline as the rest of the HoneyPi family.

Laptop / PC Tethered Capture

Plug in and go — HoneyPi Scanner runs from a connected laptop or desktop, so there's no separate device to set up or maintain.

Perspective Crop & Deskew

The same document-flattening engine as HoneyPi Scanner-Smart, run page by page under your control.

Manual Page-by-Page Workflow

You frame and trigger every capture yourself — full control, no AutoSettings stage profiles, no surprises.

JPEG & PDF Export

Save individual pages as JPEG or assemble a finished scan run into a single PDF.

Optional Barcode Reading

Decode barcodes and QR codes on demand when you need them — not forced into every capture.

Affordable Entry Point

The simplest way to start scanning with HoneyPi technology — upgrade to Scanner-Smart any time you need full automation.

HoneyPi Scanner-SmartStandalone Device

A document scanner that thinks while it captures

Built on Honey Pi 5, HoneyPi Scanner-Smart runs the entire capture pipeline on-device — from live framing to a finished, paginated PDF — with no laptop or PC required at all.

Live High-Res Preview

Streams the Pi camera at up to 4608×2592 with selectable presets, so every page is perfectly framed before you press capture.

Auto Document Detection & Perspective Crop

Computer-vision quad detection finds the page edges and warps them into a perfectly flat rectangle automatically.

Auto Deskew

Residual rotational tilt is measured and corrected on every single page — no more crooked scans.

AutoCorrect

Levels, gamma, CLAHE contrast, saturation and sharpening are applied in a single in-memory pass — no manual editing.

Barcode & QR Reading

A built-in reader decodes barcodes and QR codes during capture for automatic indexing, routing and page tagging.

Book-View Split Scanning

Capture an open spread in one shot and split it into two pages along a spine line you drag to the exact fold.

AutoSettings Workflow

First / Middle / Last page profiles drive crop, barcode and book-view behaviour automatically through an entire scan run.

Session Lifecycle Management

Captures flow through processing → scanned/failed → uploaded folders with a build lock so nothing ships mid-process.

One-Touch PDF & DOCX Export

Finished sessions are automatically assembled into a paginated PDF and Word document — ready to file or share.

Built-in Wi-Fi Manager One-Touch USB Transfer OLED Page Counter LED + Buzzer Feedback Physical Capture Button Custom 3D-Printed Enclosure Windows Fleet Monitor

HoneyPi Document AI Validator

An AI endpoint that inspects every page before it countsComing Soon

HoneyPi Document AI Validator is a REST API companion service for both Scanner editions. Send it any captured page and it returns a structured validation report — catching blurred shots, folded or non-flat pages, and foreign objects left in frame — so a bad capture gets flagged and rescanned before it ever reaches a final document.

What gets checked on every call

Blur detection — flags out-of-focus or motion-blurred captures
Fold & crease detection — flags folded corners, creases, or pages that aren't lying flat
Foreign object detection — flags a hand, pen, pencil, cup, cookies, chocolate or anything else left in frame
Document boundary completeness — confirms all four edges are inside the frame
Single confidence score with a pass / fail decision for automation
Webhook callbacks & batch validation for high-volume scan runs

# Validate one captured page for blur, folds & foreign objects
curl -X POST https://api.honeypitech.com/v1/validate \
  -H "Authorization: Bearer $HONEYPI_API_KEY" \
  -F "image=@page_00012.jpg" \
  -F "session_id=pisession_30062026"

import requests

resp = requests.post(
    "https://api.honeypitech.com/v1/validate",
    headers={"Authorization": f"Bearer {API_KEY}"},
    files={"image": open("page_00012.jpg", "rb")},
    data={"session_id": "pisession_30062026"},
)
report = resp.json()
print(report["decision"], report["checks"]["foreign_objects"])

// Example: a pen was left in frame — page is rejected
{
  "page": "page_00012.jpg",
  "score": 0.41,
  "decision": "fail",
  "checks": {
    "blur":              false,
    "fold_detected":     false,
    "foreign_objects":   ["pen"],
    "boundary_complete": true
  },
  "suggested_action": "rescan_page"
}

Scan every page.
Trust every pixel.