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Henrik Jess Nielsen
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```elixir title="Elixir"
# Preprocess images before OCR for improved text extraction
# Image preprocessing can enhance OCR accuracy on poor quality scans
alias Kreuzberg.ExtractionConfig
defmodule ImagePreprocessor do
@moduledoc """
Preprocess images for optimal OCR results.
Provides utilities for image enhancement before text extraction.
"""
@doc """
Extract with image preprocessing enabled.
Preprocessing improves OCR accuracy on documents with:
- Low contrast text
- Skewed pages
- Poor image quality
- Faded or faint text
"""
def extract_with_preprocessing(file_path, opts \\ []) do
# Get preprocessing options
deskew = Keyword.get(opts, :deskew, true)
denoise = Keyword.get(opts, :denoise, true)
binarize = Keyword.get(opts, :binarize, false)
brightness_threshold = Keyword.get(opts, :brightness_threshold, 50)
config = %ExtractionConfig{
ocr: %{
"enabled" => true,
"backend" => "tesseract",
"language" => "eng",
# Enable preprocessing for better OCR results
"preprocessing" => %{
"enabled" => true,
"deskew" => deskew,
"denoise" => denoise,
"binarize" => binarize,
"brightness_threshold" => brightness_threshold
}
},
chunking: %{
"enabled" => true,
"max_characters" => 1500,
"overlap" => 150
},
language_detection: %{
"enabled" => true
},
use_cache: false # Disable caching for preprocessing runs
}
Kreuzberg.extract_file(file_path, nil, config)
end
@doc """
Extract with aggressive preprocessing for poor quality documents.
Use this for heavily degraded or difficult-to-read documents.
"""
def extract_with_aggressive_preprocessing(file_path) do
extract_with_preprocessing(file_path,
deskew: true,
denoise: true,
binarize: true,
brightness_threshold: 75
)
end
@doc """
Compare extraction quality with and without preprocessing.
Useful for determining optimal preprocessing settings.
"""
def compare_preprocessing_quality(file_path) do
IO.puts("Comparing preprocessing options...\n")
# Extract without preprocessing
IO.puts("Extracting without preprocessing...")
config_standard = %ExtractionConfig{
ocr: %{
"enabled" => true,
"backend" => "tesseract",
"language" => "eng",
"preprocessing" => %{"enabled" => false}
},
use_cache: false
}
{:ok, result_standard} = Kreuzberg.extract_file(file_path, nil, config_standard)
# Extract with preprocessing
IO.puts("Extracting with preprocessing...")
{:ok, result_preprocessed} = extract_with_aggressive_preprocessing(file_path)
# Compare results
standard_size = byte_size(result_standard.content)
preprocessed_size = byte_size(result_preprocessed.content)
IO.puts("\n=== Preprocessing Comparison ===")
IO.puts("Standard extraction: #{standard_size} bytes")
IO.puts("Preprocessed extraction: #{preprocessed_size} bytes")
IO.puts("Size difference: #{abs(preprocessed_size - standard_size)} bytes")
# Compare chunk quality
standard_chunks = result_standard.chunks || []
preprocessed_chunks = result_preprocessed.chunks || []
IO.puts("\nStandard chunks: #{length(standard_chunks)}")
IO.puts("Preprocessed chunks: #{length(preprocessed_chunks)}")
# Show content comparison
IO.puts("\n=== Content Comparison ===")
IO.puts("Standard preview:")
IO.puts(String.slice(result_standard.content, 0..199))
IO.puts("\n...")
IO.puts("\nPreprocessed preview:")
IO.puts(String.slice(result_preprocessed.content, 0..199))
IO.puts("\n...")
# Return comparison data
%{
standard_content: result_standard.content,
preprocessed_content: result_preprocessed.content,
standard_size: standard_size,
preprocessed_size: preprocessed_size,
improvement: if standard_size > 0 do
Float.round((preprocessed_size - standard_size) / standard_size * 100, 2)
else
0
end
}
end
end
# Usage examples
# Example 1: Standard preprocessing
file_path = "scanned_document.pdf"
IO.puts("Example 1: Standard Extraction with Preprocessing\n")
case ImagePreprocessor.extract_with_preprocessing(file_path) do
{:ok, result} ->
IO.puts("Extraction successful!")
IO.puts("Content length: #{byte_size(result.content)} bytes")
IO.puts("Chunks created: #{length(result.chunks || [])}")
IO.puts("Preview: #{String.slice(result.content, 0..100)}...\n")
{:error, reason} ->
IO.puts("Error: #{reason}\n")
end
# Example 2: Aggressive preprocessing for difficult documents
IO.puts("Example 2: Aggressive Preprocessing for Poor Quality\n")
case ImagePreprocessor.extract_with_aggressive_preprocessing(file_path) do
{:ok, result} ->
IO.puts("Aggressive preprocessing extraction successful!")
IO.puts("Content length: #{byte_size(result.content)} bytes")
{:error, reason} ->
IO.puts("Error: #{reason}\n")
end
# Example 3: Compare preprocessing options
IO.puts("Example 3: Compare Preprocessing Quality\n")
try do
comparison = ImagePreprocessor.compare_preprocessing_quality(file_path)
IO.puts("\nImprovement with preprocessing: #{comparison.improvement}%")
rescue
error ->
IO.puts("Comparison completed with notice: #{inspect(error)}")
end
```