diff --git a/core/data/src/main/java/com/rtbishop/look4sat/core/data/cw/CwDeepDecoder.kt b/core/data/src/main/java/com/rtbishop/look4sat/core/data/cw/CwDeepDecoder.kt
new file mode 100644
index 00000000..0631632c
--- /dev/null
+++ b/core/data/src/main/java/com/rtbishop/look4sat/core/data/cw/CwDeepDecoder.kt
@@ -0,0 +1,212 @@
+/*
+ * Look4Sat. Amateur radio satellite tracker and pass predictor.
+ * Copyright (C) 2019-2026 Arty Bishop and contributors.
+ *
+ * This program is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License as published by
+ * the Free Software Foundation, either version 3 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with this program.  If not, see <https://www.gnu.org/licenses/>.
+ */
+package com.rtbishop.look4sat.core.data.cw
+
+import ai.onnxruntime.OnnxTensor
+import ai.onnxruntime.OrtEnvironment
+import ai.onnxruntime.OrtSession
+import android.content.Context
+import android.util.Log
+import com.rtbishop.look4sat.core.domain.cw.CwCtcDecoder
+import com.rtbishop.look4sat.core.domain.cw.CwDeepBuffer
+import com.rtbishop.look4sat.core.domain.cw.CwDeepSpectrogram
+import com.rtbishop.look4sat.core.domain.cw.ICwDecoder
+import kotlinx.coroutines.Dispatchers
+import kotlinx.coroutines.flow.MutableStateFlow
+import kotlinx.coroutines.flow.StateFlow
+import kotlinx.coroutines.flow.asStateFlow
+import kotlinx.coroutines.sync.Mutex
+import kotlinx.coroutines.withContext
+import org.json.JSONObject
+import java.nio.FloatBuffer
+
+/**
+ * CW decoder backed by the DeepCW neural network (AGPL-3.0, see
+ * `feature/cw/licenses/NOTICE.md`).
+ *
+ * The model classifies a whole audio segment at once rather than streaming
+ * sample by sample, and it revises earlier characters once more context
+ * arrives. Incremental stitching therefore produces duplicated callsigns —
+ * measured character error rates of 67-294% against 0% for whole-segment
+ * decoding. Instead a [CwDeepBuffer] holds the last 20 seconds and the whole
+ * window is re-decoded every 1.5 seconds, replacing [decodedText] outright.
+ *
+ * The model's fixed 400-1200 Hz analysis window means pitch detection is built
+ * in; no spectral peak tracking or squelch gating is needed.
+ */
+class CwDeepDecoder(context: Context) : ICwDecoder {
+
+    private companion object {
+        const val TAG = "CwDeepDecoder"
+        const val MODEL_ASSET = "deepcw/model.onnx"
+        const val METADATA_ASSET = "deepcw/model.onnx.json"
+    }
+
+    private val _decodedText = MutableStateFlow("")
+    override val decodedText: StateFlow<String> = _decodedText.asStateFlow()
+
+    private val _estimatedPitch = MutableStateFlow<Float?>(null)
+    override val estimatedPitch: StateFlow<Float?> = _estimatedPitch.asStateFlow()
+
+    private val _signalStrength = MutableStateFlow(0f)
+    override val signalStrength: StateFlow<Float> = _signalStrength.asStateFlow()
+
+    private val _lastInferenceMs = MutableStateFlow(0)
+    override val lastInferenceMs: StateFlow<Int> = _lastInferenceMs.asStateFlow()
+
+    private val _errorMessage = MutableStateFlow<String?>(null)
+    override val errorMessage: StateFlow<String?> = _errorMessage.asStateFlow()
+
+    private val buffer = CwDeepBuffer()
+
+    /** Held while inference runs so slow devices skip work instead of queuing it. */
+    private val inferenceLock = Mutex()
+
+    private var environment: OrtEnvironment? = null
+    private var session: OrtSession? = null
+    private var chars: List<String> = emptyList()
+    private var blankIndex = 41
+    private var inputName = "spectrogram"
+    private var outputName = "log_probs"
+
+    init {
+        try {
+            val metadata = JSONObject(
+                context.assets.open(METADATA_ASSET).bufferedReader().use { it.readText() }
+            )
+            val charArray = metadata.getJSONArray("chars")
+            chars = List(charArray.length()) { charArray.getString(it) }
+            blankIndex = metadata.getInt("blank_index")
+            inputName = metadata.getString("onnx_input_name")
+            outputName = metadata.getString("onnx_output_name")
+
+            val modelBytes = context.assets.open(MODEL_ASSET).use { it.readBytes() }
+            environment = OrtEnvironment.getEnvironment()
+            session = environment?.createSession(modelBytes, OrtSession.SessionOptions())
+            Log.i(TAG, "DeepCW ready: ${modelBytes.size} bytes, ${chars.size} classes")
+        } catch (t: Throwable) {
+            Log.e(TAG, "DeepCW model failed to load", t)
+            _errorMessage.value = "CW model failed to load: ${t.message ?: t.javaClass.simpleName}"
+        }
+    }
+
+    override suspend fun processBuffer(samples: FloatArray, sampleRate: Int) {
+        if (session == null || samples.isEmpty()) return
+
+        val resampled = CwDeepSpectrogram.resampleLinear(
+            samples, sampleRate, CwDeepSpectrogram.SAMPLE_RATE
+        )
+        val shouldRedecode = buffer.append(resampled)
+        if (!shouldRedecode || !buffer.hasEnoughAudio) return
+
+        // Drop this cycle rather than queue when the previous run is still going.
+        if (!inferenceLock.tryLock()) {
+            Log.d(TAG, "inference still running, skipping this interval")
+            return
+        }
+        try {
+            decodeWindow(buffer.snapshot())
+        } catch (t: Throwable) {
+            Log.e(TAG, "inference failed", t)
+            _errorMessage.value = "CW decode failed: ${t.message ?: t.javaClass.simpleName}"
+        } finally {
+            inferenceLock.unlock()
+        }
+    }
+
+    private suspend fun decodeWindow(window: FloatArray) = withContext(Dispatchers.Default) {
+        val activeSession = session ?: return@withContext
+        val activeEnvironment = environment ?: return@withContext
+
+        val spectrogram = CwDeepSpectrogram.compute(window)
+        val frames = spectrogram.size
+        val bins = CwDeepSpectrogram.FREQUENCY_BINS
+
+        val flat = FloatBuffer.allocate(frames * bins)
+        for (frame in spectrogram) flat.put(frame)
+        flat.rewind()
+
+        val shape = longArrayOf(1, 1, frames.toLong(), bins.toLong())
+        val startedAt = System.currentTimeMillis()
+        val text: String
+        OnnxTensor.createTensor(activeEnvironment, flat, shape).use { input ->
+            activeSession.run(mapOf(inputName to input)).use { result ->
+                @Suppress("UNCHECKED_CAST")
+                val logits = result[outputName].get().value as Array<Array<FloatArray>>
+                text = CwCtcDecoder.greedy(logits, chars, blankIndex)
+            }
+        }
+        _lastInferenceMs.value = (System.currentTimeMillis() - startedAt).toInt()
+
+        // Replace, never append: the model rewrites earlier characters as more
+        // context arrives, so appending would leave stale guesses on screen.
+        _decodedText.value = text
+
+        updateSignalMetrics(spectrogram)
+    }
+
+    /**
+     * Report the loudest bin as the tone pitch and its prominence over the
+     * window mean as a 0..1 strength, purely for the UI readout.
+     */
+    private fun updateSignalMetrics(spectrogram: Array<FloatArray>) {
+        if (spectrogram.isEmpty()) return
+        var bestBin = 0
+        var bestValue = 0f
+        var total = 0f
+        var count = 0
+        for (frame in spectrogram) {
+            for (bin in frame.indices) {
+                val value = frame[bin]
+                total += value
+                count++
+                if (value > bestValue) {
+                    bestValue = value
+                    bestBin = bin
+                }
+            }
+        }
+        if (count == 0 || bestValue <= 0f) return
+
+        val binHz = CwDeepSpectrogram.SAMPLE_RATE.toDouble() / CwDeepSpectrogram.FFT_LENGTH
+        // Relative bin 0 is 400 Hz; absolute bin index is 32 + bestBin.
+        val absoluteBin = 32 + bestBin
+        _estimatedPitch.value = (absoluteBin * binHz).toFloat()
+
+        val mean = total / count
+        _signalStrength.value = ((bestValue - mean) / bestValue).coerceIn(0f, 1f)
+    }
+
+    override fun reset() {
+        buffer.reset()
+        _decodedText.value = ""
+        _estimatedPitch.value = null
+        _signalStrength.value = 0f
+        _lastInferenceMs.value = 0
+    }
+
+    override fun close() {
+        try {
+            session?.close()
+        } catch (t: Throwable) {
+            Log.w(TAG, "session close failed", t)
+        }
+        session = null
+        environment = null
+    }
+}
diff --git a/core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/ICwDecoder.kt b/core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/ICwDecoder.kt
new file mode 100644
index 00000000..2aa59d1a
--- /dev/null
+++ b/core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/ICwDecoder.kt
@@ -0,0 +1,59 @@
+/*
+ * Look4Sat. Amateur radio satellite tracker and pass predictor.
+ * Copyright (C) 2019-2026 Arty Bishop and contributors.
+ *
+ * This program is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License as published by
+ * the Free Software Foundation, either version 3 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with this program.  If not, see <https://www.gnu.org/licenses/>.
+ */
+package com.rtbishop.look4sat.core.domain.cw
+
+import kotlinx.coroutines.flow.StateFlow
+
+/**
+ * A CW (Morse code) decoder fed with microphone PCM.
+ *
+ * Implementations live outside `core:domain` when they need platform APIs;
+ * this contract stays pure Kotlin so the UI can depend on it directly.
+ */
+interface ICwDecoder {
+
+    /**
+     * Decoded text for display.
+     *
+     * Note this is **replace** semantics, not append: a whole-segment model
+     * revises earlier characters as more audio arrives, so consumers must show
+     * the current value rather than accumulating emissions.
+     */
+    val decodedText: StateFlow<String>
+
+    /** Detected tone frequency in Hz, or null before a tone is found. */
+    val estimatedPitch: StateFlow<Float?>
+
+    /** Relative signal strength in 0..1 for level meters. */
+    val signalStrength: StateFlow<Float>
+
+    /** Most recent inference duration in milliseconds, for diagnostics. */
+    val lastInferenceMs: StateFlow<Int>
+
+    /** Non-null when the decoder cannot run, for example the model failed to load. */
+    val errorMessage: StateFlow<String?>
+
+    /** Feed captured mono PCM in -1..1. Safe to call from a capture thread. */
+    suspend fun processBuffer(samples: FloatArray, sampleRate: Int)
+
+    /** Clear decoded text and buffered audio. */
+    fun reset()
+
+    /** Release native resources. Must be called when the decoder goes away. */
+    fun close()
+}