ptm-ocr 0.1.0

Batch OCR Processing for Thai Documents using Typhoon OCR API

PTM-OCR

Batch OCR Processing for Thai Documents using Typhoon OCR API

Installation

pip install ptm-ocr

Quick Start

1. Set Environment Variables

Create a .env file or export environment variables:

export OCR_BASE_URL=https://api.opentyphoon.ai/v1
export OCR_API_KEY=your_api_key_here
export OCR_MODEL=typhoon-ocr-7b

2. Run OCR

Command Line:

# Basic usage
ptm-ocr data/pdfs

# With options
ptm-ocr data/pdfs -o output -w 8 -t structure

Python API:

from ptm_ocr import process_folder, process_pdf_file

# Process entire folder
summary = process_folder(
    input_folder="data/pdfs",
    output_folder="output",
    task_type="default",
    max_workers=4
)

# Process single PDF
summary = process_pdf_file(
    pdf_path="document.pdf",
    output_path="document.jsonl"
)

CLI Options

Option	Short	Default	Description
--output	-o	output	Output folder for JSONL files
--task-type	-t	default	OCR task type: default or structure
--workers	-w	4	Number of parallel workers
--base-url		env	Override OCR_BASE_URL
--api-key		env	Override OCR_API_KEY
--model		env	Override OCR_MODEL

Output Format (JSONL)

Each line in the output file is a JSON object:

{"page": 1, "text": "ข้อความที่ OCR ได้", "status": "success", "error": null}
{"page": 2, "text": "ข้อความหน้า 2", "status": "success", "error": null}

Task Types

• default: General documents, infographics
• structure: Complex layouts (tables, forms, mixed content)

Reading Output

import json

with open('output/document.jsonl', 'r', encoding='utf-8') as f:
    for line in f:
        page = json.loads(line)
        print(f"Page {page['page']}: {page['text'][:100]}...")

License

MIT