AI-Powered Document Processing: OCR, Extraction, Classification

AI-Powered Document Processing

Overview

Automate document processing using AI for OCR, data extraction, classification, and intelligent routing. Eliminate manual data entry and streamline workflows.

Time: 20 minutes

Use Cases

• Invoice processing
• Receipt scanning
• Contract analysis
• Form data extraction
• Document classification
• Compliance checking

Tools and Platforms

OCR Services

• Google Cloud Vision: Powerful OCR
• AWS Textract: Document understanding
• Azure Form Recognizer: Structured data extraction
• Tesseract: Open-source OCR

AI Document Processing

• Docparser: Template-based extraction
• Rossum: AI-powered invoice processing
• Nanonets: Custom document AI
• Mindee: API-based document parsing

Document OCR with Google Vision

from google.cloud import vision
import io

def extract_text_from_image(image_path):
    client = vision.ImageAnnotatorClient()

    with io.open(image_path, 'rb') as image_file:
        content = image_file.read()

    image = vision.Image(content=content)
    response = client.text_detection(image=image)
    texts = response.text_annotations

    if texts:
        return texts[0].description
    return ""

# Usage
text = extract_text_from_image("invoice.pdf")
print(text)

Data Extraction with ChatGPT

from openai import OpenAI

client = OpenAI()

def extract_invoice_data(ocr_text):
    prompt = f"""Extract the following from this invoice:
- Invoice number
- Date
- Total amount
- Vendor name
- Line items (description, quantity, price)

Invoice text:
{ocr_text}

Return as JSON."""

    response = client.chat.completions.create(
        model="gpt-4",
        messages=[{"role": "user", "content": prompt}],
        response_format={"type": "json_object"}
    )

    return response.choices[0].message.content

Automated Workflow Example

# Complete document processing pipeline
def process_document(file_path):
    # 1. OCR
    text = extract_text_from_image(file_path)

    # 2. Classification
    doc_type = classify_document(text)

    # 3. Data extraction based on type
    if doc_type == "invoice":
        data = extract_invoice_data(text)
    elif doc_type == "receipt":
        data = extract_receipt_data(text)

    # 4. Validation
    if validate_data(data):
        # 5. Store in database
        save_to_database(data)

        # 6. Trigger workflow
        send_for_approval(data)

    return data

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