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GoGreen SmartForms

AI-Powered Paper-to-Digital Form Converter

Transform paper forms into structured digital data using OCR and machine learning. Powered by Tesseract OCR, PaddleOCR, and LayoutLMv3 document AI for intelligent field extraction, form understanding, and automated digitization at scale.

Dual OCR Engines

Tesseract + PaddleOCR for printed and handwritten text

LayoutLMv3 AI

Document AI model for intelligent form structure understanding

Async Processing

Celery + Redis pipeline for scalable batch document processing

Platform Features

OCR & Document Scanning

Convert paper forms to digital using advanced OCR engines with support for handwritten and printed text.

  • Tesseract OCR for printed text extraction
  • PaddleOCR for handwritten recognition
  • Multi-page document scanning
  • Automatic image preprocessing and deskewing
  • Support for PDF, JPEG, PNG, TIFF formats
  • Batch document processing

AI-Powered Form Understanding

LayoutLMv3 document AI model understands form structure, fields, labels, and relationships for intelligent extraction.

  • LayoutLMv3 for document understanding
  • Automatic field detection and labeling
  • Table and grid extraction
  • Checkbox and radio button recognition
  • Signature detection
  • Multi-language form support

Digital Form Builder

Convert extracted paper forms into interactive digital forms with validation, conditional logic, and auto-fill.

  • Drag-and-drop form builder
  • Auto-generated digital forms from scans
  • Field validation and data types
  • Conditional logic and branching
  • Pre-fill from previous submissions
  • Mobile-responsive form output

Data Pipeline & Storage

Celery-powered async processing pipeline with PostgreSQL storage, Redis caching, and MinIO object storage.

  • Celery distributed task queue
  • Redis for caching and message broker
  • PostgreSQL for structured data
  • MinIO for document object storage
  • Automatic data normalization
  • Export to CSV, JSON, and API

Accuracy & Confidence Scoring

ML-powered confidence scoring for each extracted field with human-in-the-loop review for low-confidence results.

  • Per-field confidence scores
  • Human-in-the-loop review queue
  • Automatic flagging of uncertain extractions
  • Side-by-side original vs. extracted view
  • Correction learning and model improvement
  • Audit trail for all extractions

Template Management

Create and manage form templates for recurring document types. Train the system on your specific forms for higher accuracy.

  • Custom form template creation
  • Template matching for recurring forms
  • Per-template extraction rules
  • Version control for templates
  • Shared template library
  • API-based template management

OCR + ML Pipeline

1. Scan & OCR

Tesseract + PaddleOCR extract raw text from paper documents

2. AI Understanding

LayoutLMv3 identifies fields, labels, tables, and form structure

3. Digital Output

Structured data exported as digital forms, JSON, CSV, or via API

2

OCR Engines

1

Document AI Model

5+

Input Formats

Async

Celery Pipeline

Tech Stack

PythonFastAPINext.js 14TypeScriptCeleryPostgreSQLRedisMinIOTesseract OCRPaddleOCRLayoutLMv3Docker

AI / ML Models

LayoutLMv3 (Document AI)Tesseract OCRPaddleOCR

Go Paperless with AI

Eliminate manual data entry. Convert your paper forms to structured digital data with OCR and machine learning.