ALPR for FileMaker

Automatic License Plate Recognition for FileMaker.

Real-time detection, OCR, and data capture fully integrated into your FileMaker solution.

Detects plates from images, webcam, or uploaded files.
Extracts text (OCR) automatically.
Saves result directly into your FileMaker DB.
Supports EU / US / LATAM / UK formats.

Demo video placeholder (drop in video or GIF)

What the product does

License plate detection from camera and file uploads <a href='https://storyset.com/work'>Work illustrations by Storyset</a>

Detects plates from images, webcam, or uploaded files.

Optical character recognition pipeline illustration <a href='https://storyset.com/people'>People illustrations by Storyset</a>

Extracts text (OCR) automatically.

FileMaker database insert workflow <a href='https://storyset.com/technology'>Technology illustrations by Storyset</a>

Saves result directly into your FileMaker DB.

Different international license plate formats <a href='https://storyset.com/people'>People illustrations by Storyset</a>

Supports EU / US / LATAM / UK formats.

Video frame and still image processing <a href='https://storyset.com/technology'>Technology illustrations by Storyset</a>

Supports both video files and still images.

How it integrates with FileMaker

Simple REST API with a POST /ocr endpoint.

Sample scripts (Insert From URL).

Example FileMaker layout screenshot.

JSON output example with plate, confidence, bounding boxes.

Optional WebViewer live mode.

Sample JSON response from the ALPR API

Sample JSON output

{"plate": "ABC-1234","confidence": 0.98,"boundingBoxes": [{ "x": 120, "y": 140, "w": 220, "h": 70 },
{ "x": 380, "y": 160, "w": 210, "h": 65 }], "frameId": "f_102934","processingMs": 245}

FileMaker Insert From URL script example

Insert From URL snippet

Set Variable [$response; Value: Insert from URL ( "https://server/ocr"; JSONBody )]

Use cases

Card illustration

Parking automation.

Card illustration

Delivery fleet check-in.

Card illustration

Security gate logging.

Product features

On-prem or Docker

Works on-prem or Docker.

  • Runs locally or in Docker containers
  • No cloud required

GPU support

GPU support optional.

  • Optional GPU acceleration
  • CPU fallback available

Detection models

Supports multiple detection models (YOLO, LPRNet, custom).

  • YOLO model support
  • LPRNet model support
  • Custom model support

Confidence scoring

Confidence scoring.

  • Confidence scores for detections
  • Adjustable confidence thresholds

Multi-plate detection

Multi-plate detection.

  • Detects multiple plates in one image
  • Supports overlapping plates

Night mode optimization

Night-mode / low-light optimized.

  • Optimized for low-light conditions
  • Night vision capabilities

Full vehicle detection

Optional full vehicle detection.

  • Detects full vehicle information
  • Optional vehicle classification

Pricing

Starter

X requests/month

Pro

Unlimited local processing

Enterprise

Multiple servers, SLA, support

Up and running fast

Deploy in minutes with a single Docker command or Windows installer.

Prebuilt FileMaker script examples included; no custom infrastructure needed.

Contact

Tell us about your workflow and we'll get back within one business day.

✉mbogdan2012@gmail.com💬WhatsApp: +49 151 24742592Facebook