TGA Targa image data
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File Information
Targa image data
Image
.tga
image/x-tga
TGA (Targa Image Format)
Overview
TGA (Targa Image Format) is a raster graphics file format originally developed by Truevision Inc. for their video boards. It supports various color depths, alpha channels, and compression, making it popular in gaming, animation, and video production industries.
File Details
- Extension:
.tga
,.tpic
- MIME Type:
image/x-tga
- Category: Image
- Binary/Text: Binary
Technical Specifications
File Structure
TGA files consist of three main sections:
- Header: 18 bytes containing metadata
- Image Data: Pixel information
- Footer: Optional developer area and extension area
Header Format
Byte 0: ID Length
Byte 1: Color Map Type
Byte 2: Image Type
Bytes 3-4: Color Map Origin
Bytes 5-6: Color Map Length
Byte 7: Color Map Depth
Bytes 8-9: X Origin
Bytes 10-11: Y Origin
Bytes 12-13: Image Width
Bytes 14-15: Image Height
Byte 16: Pixel Depth
Byte 17: Image Descriptor
Supported Formats
- Color Depths: 8, 15, 16, 24, 32 bits per pixel
- Compression: Uncompressed, RLE compressed
- Color Types: Grayscale, Color-mapped, True-color
- Alpha Channel: 1, 8, or 16 bits
History
- 1984: Developed by Truevision Inc.
- 1989: TGA 2.0 specification released
- 1990s: Widely adopted in gaming industry
- 2000s: Used in texture creation tools
- Present: Still used in specialized applications
Structure Details
Image Types
- Type 0: No image data
- Type 1: Uncompressed color-mapped
- Type 2: Uncompressed true-color
- Type 3: Uncompressed grayscale
- Type 9: RLE color-mapped
- Type 10: RLE true-color
- Type 11: RLE grayscale
Pixel Formats
8-bit: Grayscale or color-mapped
15-bit: 5 bits each for R, G, B
16-bit: 5-6-5 RGB or 5-5-5-1 RGBA
24-bit: 8 bits each for R, G, B
32-bit: 8 bits each for R, G, B, A
Code Examples
TGA Header Reading (Python)
import struct
class TGAHeader:
def __init__(self):
self.id_length = 0
self.color_map_type = 0
self.image_type = 0
self.color_map_origin = 0
self.color_map_length = 0
self.color_map_depth = 0
self.x_origin = 0
self.y_origin = 0
self.width = 0
self.height = 0
self.pixel_depth = 0
self.image_descriptor = 0
def read_tga_header(filename):
"""Read TGA file header"""
header = TGAHeader()
with open(filename, 'rb') as f:
data = f.read(18)
(header.id_length,
header.color_map_type,
header.image_type,
header.color_map_origin,
header.color_map_length,
header.color_map_depth,
header.x_origin,
header.y_origin,
header.width,
header.height,
header.pixel_depth,
header.image_descriptor) = struct.unpack('<BBBHHBHHHHBB', data)
return header
def get_image_info(header):
"""Extract image information"""
image_types = {
0: "No image data",
1: "Uncompressed color-mapped",
2: "Uncompressed true-color",
3: "Uncompressed grayscale",
9: "RLE color-mapped",
10: "RLE true-color",
11: "RLE grayscale"
}
return {
'width': header.width,
'height': header.height,
'pixel_depth': header.pixel_depth,
'image_type': image_types.get(header.image_type, "Unknown"),
'compressed': header.image_type >= 9,
'has_alpha': header.pixel_depth in [16, 32] and (header.image_descriptor & 0x0F) > 0
}
# Usage
header = read_tga_header('image.tga')
info = get_image_info(header)
print(f"Size: {info['width']}x{info['height']}")
print(f"Bit depth: {info['pixel_depth']}")
print(f"Type: {info['image_type']}")
Simple TGA Reader
def read_tga_image(filename):
"""Read uncompressed TGA image data"""
with open(filename, 'rb') as f:
# Read header
header_data = f.read(18)
header = struct.unpack('<BBBHHBHHHHBB', header_data)
id_length = header[0]
image_type = header[2]
width = header[8]
height = header[9]
pixel_depth = header[10]
# Skip image ID
if id_length > 0:
f.read(id_length)
# Calculate bytes per pixel
bytes_per_pixel = pixel_depth // 8
# Read image data
image_data = f.read(width * height * bytes_per_pixel)
# Convert BGR to RGB for 24/32-bit images
if pixel_depth >= 24:
pixels = []
for i in range(0, len(image_data), bytes_per_pixel):
if bytes_per_pixel == 3: # 24-bit BGR
b, g, r = image_data[i:i+3]
pixels.extend([r, g, b])
elif bytes_per_pixel == 4: # 32-bit BGRA
b, g, r, a = image_data[i:i+4]
pixels.extend([r, g, b, a])
image_data = bytes(pixels)
return {
'width': width,
'height': height,
'pixel_depth': pixel_depth,
'data': image_data
}
C++ TGA Loader
#include <fstream>
#include <vector>
#include <cstdint>
struct TGAHeader {
uint8_t idLength;
uint8_t colorMapType;
uint8_t imageType;
uint16_t colorMapOrigin;
uint16_t colorMapLength;
uint8_t colorMapDepth;
uint16_t xOrigin;
uint16_t yOrigin;
uint16_t width;
uint16_t height;
uint8_t pixelDepth;
uint8_t imageDescriptor;
};
class TGALoader {
public:
bool loadTGA(const std::string& filename) {
std::ifstream file(filename, std::ios::binary);
if (!file.is_open()) {
return false;
}
// Read header
TGAHeader header;
file.read(reinterpret_cast<char*>(&header), sizeof(header));
// Skip image ID
if (header.idLength > 0) {
file.seekg(header.idLength, std::ios::cur);
}
// Calculate image size
int bytesPerPixel = header.pixelDepth / 8;
int imageSize = header.width * header.height * bytesPerPixel;
// Read image data
imageData.resize(imageSize);
file.read(reinterpret_cast<char*>(imageData.data()), imageSize);
// Convert BGR to RGB
if (header.pixelDepth >= 24) {
for (int i = 0; i < imageSize; i += bytesPerPixel) {
std::swap(imageData[i], imageData[i + 2]); // Swap B and R
}
}
width = header.width;
height = header.height;
pixelDepth = header.pixelDepth;
return true;
}
const std::vector<uint8_t>& getData() const { return imageData; }
int getWidth() const { return width; }
int getHeight() const { return height; }
int getPixelDepth() const { return pixelDepth; }
private:
std::vector<uint8_t> imageData;
int width, height, pixelDepth;
};
Tools and Applications
Image Editors
- Adobe Photoshop: Full TGA support
- GIMP: Open-source with TGA plugin
- Paint.NET: TGA plugin available
- IrfanView: Lightweight viewer/converter
Game Development Tools
- Unity: Native TGA support
- Unreal Engine: Texture import support
- Blender: 3D modeling with TGA textures
- Maya: Animation software support
Command Line Tools
# ImageMagick conversion
convert image.tga image.png
convert image.png -depth 32 image.tga
# GIMP command line
gimp -i -b '(let* ((image (car (gimp-file-load RUN-NONINTERACTIVE "input.tga" "input.tga")))) (gimp-file-save RUN-NONINTERACTIVE image (car (gimp-image-get-active-layer image)) "output.png" "output.png") (gimp-image-delete image))' -b '(gimp-quit 0)'
Programming Libraries
- FreeImage: Cross-platform library
- DevIL: Developer's Image Library
- SOIL: Simple OpenGL Image Library
- OpenCV: Computer vision library
Best Practices
Image Creation
- Use 32-bit for alpha transparency
- Choose appropriate compression
- Maintain color accuracy
- Optimize file size
Performance Optimization
- Use RLE compression for simple images
- Avoid compression for complex textures
- Consider target hardware limitations
- Preprocess for specific applications
Quality Considerations
- Preserve alpha channel integrity
- Handle color space correctly
- Maintain bit depth requirements
- Validate image dimensions
Security Considerations
File Validation
def validate_tga_header(header):
"""Validate TGA header for security"""
# Check reasonable dimensions
if header.width > 32768 or header.height > 32768:
raise ValueError("Image dimensions too large")
# Validate pixel depth
valid_depths = [8, 15, 16, 24, 32]
if header.pixel_depth not in valid_depths:
raise ValueError("Invalid pixel depth")
# Check image type
valid_types = [0, 1, 2, 3, 9, 10, 11]
if header.image_type not in valid_types:
raise ValueError("Invalid image type")
# Calculate expected file size
bytes_per_pixel = header.pixel_depth // 8
expected_size = header.width * header.height * bytes_per_pixel
if expected_size > 100 * 1024 * 1024: # 100MB limit
raise ValueError("Image too large")
Memory Protection
- Validate image dimensions
- Check for integer overflow
- Limit memory allocation
- Handle malformed files
Common Vulnerabilities
- Buffer overflow in readers
- Integer overflow calculations
- Malformed header exploitation
- Memory exhaustion attacks
Modern Alternatives
Contemporary Formats
- PNG: Better compression, web standard
- WebP: Modern web format
- HEIF: High efficiency format
- AVIF: Next-generation format
When to Use TGA
- Game development workflows
- High-quality texture creation
- Alpha channel requirements
- Legacy system compatibility
TGA remains valuable in specialized applications, particularly gaming and multimedia production, where its simplicity and alpha channel support make it a reliable choice for texture and asset management.
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