The pipeline behind every accurate OCR.

using LMKit.Media.Image;

// Load any common format. Auto-detected.
using var img = ImageBuffer.Load(@"C:\scans\fax_3104.tif");

// Skip the pipeline entirely if the page is blank.
if (img.IsBlank()) return;

// Convert to grayscale once; downstream ops are faster.
img.ConvertGRAY8();

// Correct skew up to 15 degrees.
DeskewResult ds = img.Deskew();
Console.WriteLine($"corrected {ds.Angle:F2} deg");

// Adaptive binarize. Recovers dark text and edges automatically.
img.SmartBinarize();

// Strip salt-and-pepper noise from the binary image.
img.DespeckleBitonal();

// Remove uniform white borders so the OCR window is content-only.
img.AutoCrop(margin: 8, tolerance: 12);

// Hand the cleaned buffer to the OCR engine.
var ocr    = new LMKitOcr();
var result = await ocr.RunAsync(new OcrParameters(img));

// Iterate every page in a multi-page TIFF and OCR each one.
using var tiff = ImageBuffer.Load(@"C:\archives\dossier.tif");

for (int page = 0; page < tiff.PageCount; page++)
{
    using var single = tiff.ExtractPage(page);
    single.SmartBinarize();
    single.DespeckleBitonal();
    var r = await ocr.RunAsync(new OcrParameters(single));
    log.Info($"page {page}: {r.Text.Length} chars");
}

using LMKit.Model;
using LMKit.TextGeneration;

// Vision-language understanding. Multi-turn aware.
var vlm  = VisionLanguageModel.LoadFromModelID("glm-4.6v-flash");
var chat = new MultiTurnConversation(vlm);

chat.AddImage(@"C:\screenshots\dashboard.png");
Console.WriteLine(await chat.SubmitAsync("What does this dashboard report?"));
Console.WriteLine(await chat.SubmitAsync("Which metric is trending down?"));

using LMKit.Embeddings;
using LMKit.Retrieval;

// Build a vector store of image embeddings.
var embedder = new Embedder(LM.LoadFromModelID("nomic-embed-vision"));
var store    = new VectorStore(embedder.EmbeddingSize);

foreach (var path in Directory.EnumerateFiles(@"C:\product-photos", "*.jpg"))
{
    using var img = ImageBuffer.Load(path);
    var vec = await embedder.GetEmbeddingsAsync(img);
    store.AddVector(vec, metadata: path);
}

// Find visually similar items to a query image.
using var query  = ImageBuffer.Load(@"C:\query.jpg");
var queryVec    = await embedder.GetEmbeddingsAsync(query);
var nearest     = store.FindNearest(queryVec, topK: 10);

foreach (var hit in nearest)
    Console.WriteLine($"{hit.Score:F3} {hit.Metadata}");