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#!/bin/bash
# PaddleOCR Document Parser Script
# Supports both sync and async modes
set -e
# Default values
file_type="image"
output_file=""
verbose="false"
async_mode="false"
# Function to display usage
usage() {
cat << EOF
Usage: $0 [OPTIONS] INPUT_FILE_PATH_OR_URL
Parse documents using PaddleOCR API
OPTIONS:
-t, --type TYPE File type (image, pdf) [default: image]
-o, --output FILE Output file [default: stdout]
-v, --verbose Verbose output
--async Use async mode (for large files/PDFs)
-h, --help Show this help message
ENVIRONMENT:
PADDLEOCR_ACCESS_TOKEN Required: API access token
PADDLEOCR_API_URL Required: Sync mode endpoint URL
PADDLEOCR_JOB_URL Required for async: Async endpoint URL
PADDLEOCR_MODEL Optional: Model name [default: PaddleOCR-VL-1.5]
SETUP:
1. Visit https://www.paddleocr.com to get API credentials
2. Set environment variables:
export PADDLEOCR_ACCESS_TOKEN="your_token"
export PADDLEOCR_API_URL="https://your-endpoint/layout-parsing"
EXAMPLES:
# Sync mode (default)
$0 document.jpg
$0 -t pdf document.pdf
$0 -o result.json document.jpg
# Async mode (for large files)
$0 --async large-document.pdf
EOF
}
# Parse command line arguments
while [[ $# -gt 0 ]]; do
case $1 in
-t|--type)
file_type="$2"
shift 2
;;
-o|--output)
output_file="$2"
shift 2
;;
-v|--verbose)
verbose="true"
shift
;;
--async)
async_mode="true"
shift
;;
-h|--help)
usage
exit 0
;;
-*)
echo "Unknown option: $1"
usage
exit 1
;;
*)
input_file="$1"
shift
;;
esac
done
# Validate input
if [[ -z "$input_file" ]]; then
echo "Error: Input file path or URL is required"
usage
exit 1
fi
# Check required environment variables
if [[ -z "$PADDLEOCR_ACCESS_TOKEN" ]]; then
echo "Error: PADDLEOCR_ACCESS_TOKEN environment variable is required"
echo "Get it from: https://www.paddleocr.com"
exit 1
fi
if [[ -z "$PADDLEOCR_API_URL" ]]; then
echo "Error: PADDLEOCR_API_URL environment variable is required"
echo "Set it to your PaddleOCR API endpoint"
echo "Example: export PADDLEOCR_API_URL=\"https://your-endpoint.aistudio-app.com/layout-parsing\""
exit 1
fi
# Set optional defaults
PADDLEOCR_MODEL="${PADDLEOCR_MODEL:-PaddleOCR-VL-1.5}"
# Check if input is a URL or local file
if [[ "$input_file" =~ ^https?:// ]]; then
is_url="true"
if [[ "$verbose" == "true" ]]; then
echo "Input is a URL: $input_file" >&2
fi
else
is_url="false"
if [[ ! -f "$input_file" ]]; then
echo "Error: Input file not found: $input_file"
exit 1
fi
if [[ "$verbose" == "true" ]]; then
echo "Input is a local file: $input_file" >&2
fi
fi
# Use Python script for async mode
if [[ "$async_mode" == "true" ]]; then
if [[ -z "$PADDLEOCR_JOB_URL" ]]; then
echo "Error: PADDLEOCR_JOB_URL environment variable is required for async mode"
echo "Example: export PADDLEOCR_JOB_URL=\"https://your-endpoint.aistudio-app.com/api/v2/ocr/jobs\""
exit 1
fi
if [[ "$verbose" == "true" ]]; then
echo "Using async mode with model: $PADDLEOCR_MODEL" >&2
fi
# Get script directory
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
# Run Python async parser
if [[ -n "$output_file" ]]; then
python3 "$SCRIPT_DIR/paddleocr_parse.py" --async-mode -o "$output_file" "$input_file"
else
python3 "$SCRIPT_DIR/paddleocr_parse.py" --async-mode "$input_file"
fi
exit 0
fi
# Sync mode (bash implementation)
# Validate file type
case "$file_type" in
image|img) file_type_code=1 ;;
pdf) file_type_code=0 ;;
*)
echo "Error: Invalid file type '$file_type'. Supported: image, pdf"
exit 1
;;
esac
# Build payload - directly use URL or encode file
if [[ "$is_url" == "true" ]]; then
# Use URL directly in payload
payload=$(cat <<EOF
{
"file": "$input_file",
"fileType": $file_type_code,
"useDocOrientationClassify": false,
"useDocUnwarping": false
}
EOF
)
if [[ "$verbose" == "true" ]]; then
echo "Using URL directly in API request" >&2
fi
else
# Encode local file to base64
if [[ "$verbose" == "true" ]]; then
echo "Encoding $input_file to base64..." >&2
fi
file_base64=$(cat "$input_file" | base64 | tr -d '\n')
payload=$(cat <<EOF
{
"file": "$file_base64",
"fileType": $file_type_code,
"useDocOrientationClassify": false,
"useDocUnwarping": false
}
EOF
)
fi
if [[ "$verbose" == "true" ]]; then
echo "Making API request to: $PADDLEOCR_API_URL" >&2
echo "Payload size: ${#payload} bytes" >&2
fi
# Make API request
# Use temporary file to avoid "Argument list too long" error for large payloads
payload_file=$(mktemp)
echo "$payload" > "$payload_file"
if [[ "$verbose" == "true" ]]; then
echo "Request payload saved to temporary file: $payload_file" >&2
fi
# Use trap to ensure temporary file cleanup on script exit
cleanup() {
if [[ -f "$payload_file" ]]; then
rm -f "$payload_file"
if [[ "$verbose" == "true" ]]; then
echo "Cleaned up temporary file: $payload_file" >&2
fi
fi
}
trap cleanup EXIT
response=$(curl -s -X POST "$PADDLEOCR_API_URL" \
-m 600 \
--fail-with-body \
-H "Authorization: token $PADDLEOCR_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d @"$payload_file")
# Check for curl errors
curl_exit_code=$?
if [[ $curl_exit_code -ne 0 ]]; then
echo "Error: Curl request failed with code $curl_exit_code"
exit 1
fi
# Check response for errors using jq
if ! echo "$response" | jq -e . >/dev/null 2>&1; then
echo "Error: Invalid JSON response from API"
exit 1
fi
error_code=$(echo "$response" | jq -r '.errorCode // empty')
error_msg=$(echo "$response" | jq -r '.errorMsg // empty')
if [[ -n "$error_code" && "$error_code" != "0" ]]; then
echo "API Error ($error_code): $error_msg"
exit 1
fi
# Extract and process result
if [[ -n "$output_file" ]]; then
echo "$response" > "$output_file"
if [[ "$verbose" == "true" ]]; then
echo "Output saved to: $output_file" >&2
fi
else
echo "$response"
fi
if [[ "$verbose" == "true" ]]; then
echo "Processing completed successfully" >&2
fi