add real-time toggle and batch (post-hoc) transcription

Two capture modes: the existing live SSE transcription, and a new
"Transcribe a recording..." flow that runs transcriptor-ai's new
transcribe subcommand against a previously recorded session's PCM
files. The raw PCM recording (previously an undocumented temp-dir
debug tee) is now a real, user-configurable artifact via a new
"Save recordings to" Settings row, since batch transcription depends
on it rather than just "listening back later".

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

.gitignore

@@ -10,3 +10,8 @@ DerivedData/
 # compute WER against transcriptor-ai) — large binary media, not source.
 # See CLAUDE.md for what's in here and the results obtained from it.
 /test/
+
+# Distribution zips — built locally and uploaded to Gitea releases directly,
+# not committed (large binary, would bloat the repo; the release is already
+# the canonical place to find them).
+*.app.zip

CLAUDE.md

@@ -499,6 +499,90 @@ succeeded."
 Not done yet — everything under "Future" in Goal (question-detection/CR-generation
 post-processing) — still explicitly out of scope until asked for.
 
+## Real-time toggle + batch (post-hoc) transcription (2026-09-18) — implemented
+
+Motivated by a discussion about splitting the architecture (UI on this MacBook, AI on a local
+Ubuntu server): live streaming turned out to bring real complexity (network audio protocol,
+buffering/reconnect, no-disk-storage constraints), while **batch transcription after the
+meeting sidesteps nearly all of it** — and it turned out the raw audio was already being
+recorded, just as an undocumented debug tee (see below). The network/server split itself is
+still **not implemented** — this is the local groundwork (two capture modes) that a future
+server-side batch pass could build on, not the split itself.
+
+**Found first**: `transcriptor-ai` already wrote every session's raw audio to
+`os.TempDir()/transcriptor-ai-{system,mic}.pcm`, unconditionally, undocumented in this repo's
+own CLAUDE.md — a debug tee ("for listening back later"), not a designed feature: fixed
+filenames (a second session silently overwrote the first), no configurable location, no
+cleanup. This session promoted it into a real, deliberate artifact — the user's own framing:
+"les PCM sont déjà stockés" — rather than building batch transcription on top of an accidental
+side effect.
+
+**`transcriptor-ai` changes** (`cmd/transcriptor-ai/main.go`, new `cmd/transcriptor-ai/transcribe.go`):
+- `-recording-dir` (optional, defaults to the OS temp dir if empty) + session-start-timestamped
+  filenames (`<yyyy-MM-dd_HH-mm-ss>-system.pcm` / `-mic.pcm`, matching the transcript file's
+  existing timestamp convention) replace the old fixed names — no more silent overwrite between
+  sessions. The mic file is only created when `-capture-mic` is actually on, so a disabled track
+  never leaves behind a misleading empty file.
+- `-realtime` (default `true`). `false` skips VAD/ASR/SSE entirely (no HTTP server started) and
+  only captures+records — capture itself, and the PCM tee, run unconditionally either way.
+  Implemented with nil-channel `select` cases (`segments`/`httpServer` left nil when disabled)
+  rather than duplicating the run loop — standard Go idiom, kept the diff to `run()` itself
+  fairly contained rather than forking into two code paths.
+- New `transcribe` subcommand (`transcriptor-ai transcribe -system-pcm=... -mic-pcm=...
+  -asr-binary=... -asr-model-dir=... -transcript-file=...`, at least one of
+  `-system-pcm`/`-mic-pcm` required): replays a previously recorded PCM file as a stream of
+  `capture.Chunk`s (synthetic timestamps advanced by bytes-read/audio-duration, not wall clock,
+  since a file is read as fast as disk I/O allows — see `bytesToDuration`/`readPCMFile`) through
+  the **same, unmodified** `internal/vad`/`internal/asr` pipeline live mode uses, then
+  `transcribeWorker` (also unmodified/reused) writes the result to `-transcript-file`. No new
+  segmentation or ASR logic — the batch mode is entirely a different *source* for
+  `capture.Chunk`, not a different pipeline. No HTTP server in this mode; a `Broadcaster` is
+  still constructed (Publish-to-zero-subscribers is a harmless no-op) purely to satisfy
+  `transcribeWorker`'s existing signature without special-casing a nil broadcaster there.
+- **Verified for real, not just "it compiles"**: built a standalone binary, synthesized a PCM
+  file (silence/tone/silence/tone/silence, tones above VAD's speech threshold) with a throwaway
+  Python script, and a stub `qwen_asr` shell script that just echoes fixed text reading stdin.
+  Ran `transcriptor-ai transcribe` against them — got exactly 2 correctly VAD-segmented,
+  transcribed, file-written lines (matching the 2 tone bursts), clean exit 0. Confirms the
+  concurrency (two-goroutine file readers → shared chunk channel → VAD → sequential ASR → file)
+  doesn't deadlock or panic. **Not yet verified against a real recorded session + real
+  qwen_asr/model** — do that before trusting batch transcription quality, this only proves the
+  plumbing.
+
+**`transcriptor-ui` (Swift) changes**:
+- `TranscriptorProcess.Config` gained `recordingDir` (required, passed as `-recording-dir`) and
+  `realtime` (passed as `-realtime=\(value)`, same boolean-flag `-flag=value` requirement
+  documented above for `-capture-system`/`-capture-mic`).
+- `ContentView`: new "Real-time transcription" `Toggle`, `@State`-backed (not `@AppStorage`) —
+  deliberately matching `captureSystem`/`captureMic`'s existing treatment, not the
+  `@AppStorage`-persisted settings-page values; revisit together if the user ever wants the
+  main-window toggles remembered across relaunches. When off, `ContentView.start()` skips
+  building a live transcript file path entirely and never connects `SSEClient` (nothing would
+  ever arrive on it).
+- New `BatchTranscriber.swift` — a separate, one-shot `Process` runner (`@Observable`, async
+  `run(_:)` that throws on nonzero exit) distinct from `TranscriptorProcess`: no SIGINT-based
+  graceful-drain protocol to replicate, since batch mode isn't an interactive session.
+- New "Transcribe a recording…" button in `ContentView`: `NSOpenPanel` (filtered to `.pcm`,
+  starting in the recordings directory) lets the user pick *either* file of a session — the
+  sibling track is located automatically from the shared `<timestamp>-system.pcm` /
+  `<timestamp>-mic.pcm` naming convention (`ContentView.recordingSession(from:)`). **Scope
+  deliberately restricted to this app's own recordings, not arbitrary audio files** — an
+  explicit choice this session ("pour le moment, juste pcm"), not an oversight; supporting
+  arbitrary formats would need an `ffmpeg`-style decode step this doesn't have. Output transcript
+  is named `<session-timestamp>-batch.txt` — suffixed distinctly from the live transcript's own
+  `<timestamp>.txt` so a batch pass can never collide with or silently append into a live
+  transcript from the same session.
+- `SettingsView`: new "Save recordings to" row (`RecordingSaveLocation`, default
+  `~/Documents/Transcriptor/Recordings`, `@AppStorage`-persisted, `NSOpenPanel` "Choose…" —
+  same pattern as the existing transcript-directory row), promoting the recording location from
+  an invisible temp-dir default to a real, user-visible, user-configurable setting.
+- **Verification status**: `xcodebuild` succeeds (embedding the freshly rebuilt
+  `transcriptor-ai` with all the above), and the built app launches and quits cleanly with no
+  crash. **Not yet verified interactively** — the new toggle/button haven't been clicked, and
+  batch transcription hasn't been run end to end from the UI against a real recorded session.
+  Do that (start a short real session, stop it, then use "Transcribe a recording…" on the
+  resulting `.pcm` pair) before considering this feature done, not just built.
+
 ## Installing to /Applications (not automated — do this manually when needed)
 
 There's no install script; this was done by hand once (2026-08-08) and documented here so it

README.md

@@ -0,0 +1,62 @@
+# transcriptor
+
+Native macOS app for fully local, no-cloud meeting transcription. Download, unzip, run —
+the only runtime download is the ASR model itself (see `CLAUDE.md` for how the app is built).
+
+## Installing from a downloaded release
+
+Grab `transcriptor-vX.Y.Z.app.zip` from the
+[releases page](https://gitea.sttlab.eu/stt/transcriptor/releases), unzip it, and drag
+`transcriptor.app` to `/Applications`.
+
+The app is signed with a self-signed identity (`sttlab-apps`), not an Apple Developer ID —
+there's no paid Apple account behind this project. macOS's Gatekeeper doesn't trust that
+signature by default, so on first launch of a version downloaded from a browser (which
+macOS marks with a quarantine flag) you'll likely see it refuse to open, or ask to move it to
+the bin. Pick **one** of the two options below to get past that — you don't need both.
+
+### Option 1 — Trust the `sttlab-apps` certificate
+
+This tells your Mac to trust anything signed by this specific certificate going forward, so
+you won't need to repeat this for future versions of the app (as long as it keeps being signed
+with the same identity).
+
+1. Get the certificate: `sttlab-apps.cer` (ask for it, or export it yourself if you have
+   access to the machine it was created on: `security find-certificate -c "sttlab-apps" -p
+   > sttlab-apps.cer`).
+2. Import it into your login keychain:
+   ```bash
+   security import sttlab-apps.cer -k ~/Library/Keychains/login.keychain-db
+   ```
+3. Trust it, but **only** for code signing (not as a general root CA):
+   ```bash
+   security add-trusted-cert -r trustRoot -p codeSign \
+     -k ~/Library/Keychains/login.keychain-db sttlab-apps.cer
+   ```
+   macOS will prompt for your login password — that's it asking permission to change
+   keychain trust settings, not this command asking for a password directly.
+4. Open `transcriptor.app` normally (double-click, or `open /Applications/transcriptor.app`).
+
+### Option 2 — Bypass Gatekeeper for this app only
+
+No trust changes, no certificate needed — just tells macOS to stop flagging this specific
+app. You'll need to repeat this for each new version you download (the quarantine flag is
+set per downloaded file).
+
+Either:
+
+- Right-click `transcriptor.app` in Finder → **Open** → **Open** again in the confirmation
+  dialog. (Regular double-click won't offer this the first time; right-click → Open does.)
+
+Or, from a terminal:
+
+```bash
+xattr -dr com.apple.quarantine /Applications/transcriptor.app
+```
+
+(`-r` because it's a bundle — the quarantine flag can be set on files inside it too, not just
+the top-level `.app`.)
+
+Both achieve the same result: the app opens. Option 1 is the better choice if you expect to
+download future versions and don't want to repeat the bypass each time; Option 2 is faster
+for a one-off.

transcriptor.xcodeproj/project.pbxproj

@@ -459,7 +459,8 @@
 			buildSettings = {
 				ASSETCATALOG_COMPILER_APPICON_NAME = AppIcon;
 				ASSETCATALOG_COMPILER_GLOBAL_ACCENT_COLOR_NAME = AccentColor;
-				CODE_SIGN_STYLE = Automatic;
+				CODE_SIGN_STYLE = Manual;
+				CODE_SIGN_IDENTITY = "sttlab-apps";
 				CURRENT_PROJECT_VERSION = 1;
 				ENABLE_APP_SANDBOX = NO;
 				ENABLE_USER_SCRIPT_SANDBOXING = NO;

transcriptor/BatchTranscriber.swift

@@ -0,0 +1,95 @@
+//
+//  BatchTranscriber.swift
+//  transcriptor
+//
+//  Runs `transcriptor-ai transcribe` — post-hoc transcription of a
+//  previously recorded PCM session (see TranscriptorProcess's
+//  -recording-dir, which is what produces the .pcm files this reads) — as
+//  a one-shot subprocess, distinct from TranscriptorProcess (which spawns
+//  the long-lived live-capture process). No SIGINT-based graceful shutdown
+//  protocol needed here: this isn't an interactive session, just a
+//  synchronous batch job that runs to completion or is killed outright.
+//
+
+import Foundation
+
+enum BatchTranscriberError: Error {
+    case alreadyRunning
+    case binaryNotFound(String)
+    case processFailed(Int32)
+}
+
+@Observable
+final class BatchTranscriber {
+    private(set) var isRunning = false
+    private var process: Process?
+
+    struct Config {
+        var binaryPath: String
+        var systemPCMPath: String?
+        var micPCMPath: String?
+        var asrBinaryPath: String
+        var asrModelDir: String
+        var prompt: String?
+        var transcriptFilePath: String
+    }
+
+    /// Runs the batch transcription to completion. Throws on a nonzero
+    /// exit status; stderr (transcriptor-ai's own progress lines, plus
+    /// qwen_asr's) is forwarded to Console output the same way
+    /// TranscriptorProcess does for the live process.
+    func run(_ config: Config) async throws {
+        guard process == nil else { throw BatchTranscriberError.alreadyRunning }
+        for path in [config.binaryPath, config.asrBinaryPath] {
+            guard FileManager.default.fileExists(atPath: path) else {
+                throw BatchTranscriberError.binaryNotFound(path)
+            }
+        }
+
+        let process = Process()
+        process.executableURL = URL(fileURLWithPath: config.binaryPath)
+
+        var args = [
+            "transcribe",
+            "-asr-binary", config.asrBinaryPath,
+            "-asr-model-dir", config.asrModelDir,
+            "-transcript-file", config.transcriptFilePath,
+        ]
+        if let systemPCMPath = config.systemPCMPath {
+            args += ["-system-pcm", systemPCMPath]
+        }
+        if let micPCMPath = config.micPCMPath {
+            args += ["-mic-pcm", micPCMPath]
+        }
+        if let prompt = config.prompt, !prompt.isEmpty {
+            args += ["-prompt", prompt]
+        }
+        process.arguments = args
+        process.standardError = FileHandle.standardError
+
+        self.process = process
+        isRunning = true
+        defer {
+            self.process = nil
+            isRunning = false
+        }
+
+        try process.run()
+        try await withCheckedThrowingContinuation { (continuation: CheckedContinuation<Void, Error>) in
+            process.terminationHandler = { p in
+                if p.terminationStatus == 0 {
+                    continuation.resume()
+                } else {
+                    continuation.resume(throwing: BatchTranscriberError.processFailed(p.terminationStatus))
+                }
+            }
+        }
+    }
+
+    /// Interrupts an in-progress batch job (e.g. the user closing the
+    /// progress sheet mid-run). No graceful-drain protocol on the other
+    /// end like TranscriptorProcess.stop() relies on — this just kills it.
+    func cancel() {
+        process?.interrupt()
+    }
+}

transcriptor/ContentView.swift

@@ -10,7 +10,9 @@
 //  oversight, see CLAUDE.md "Goal".
 //
 
+import AppKit
 import SwiftUI
+import UniformTypeIdentifiers
 
 private enum BundledPaths {
     static var audioteeBinary: String {
@@ -47,13 +49,23 @@ struct ContentView: View {
     // mid-session and produced a confusing, uncontrolled test run.
     @AppStorage("captureSystem") private var captureSystem = true
     @AppStorage("captureMic") private var captureMic = true
+    // @State, not @AppStorage: same treatment as captureSystem/captureMic
+    // before their persistence fix wasn't asked for — revisit if the user
+    // wants this remembered across relaunches too.
+    @State private var realtimeEnabled = true
     @AppStorage(TranscriptSaveLocation.defaultsKey)
     private var transcriptSaveDirectory = TranscriptSaveLocation.defaultDirectory.path
+    @AppStorage(RecordingSaveLocation.defaultsKey)
+    private var recordingSaveDirectory = RecordingSaveLocation.defaultDirectory.path
     @AppStorage(GlossaryFileLocation.defaultsKey)
     private var glossaryFilePath = GlossaryFileLocation.defaultPath.path
 
+    @State private var batchTranscriber = BatchTranscriber()
+    @State private var batchStatus: String?
+    @State private var batchError: String?
+
     private var controlsDisabled: Bool {
-        transcriptorProcess.isRunning || modelManager.isDownloading
+        transcriptorProcess.isRunning || modelManager.isDownloading || batchTranscriber.isRunning
     }
 
     var body: some View {
@@ -74,6 +86,10 @@ struct ContentView: View {
                         .disabled(controlsDisabled)
                     Toggle("Microphone", isOn: $captureMic)
                         .disabled(controlsDisabled)
+
+                    Divider().frame(height: 16)
+                    Toggle("Real-time transcription", isOn: $realtimeEnabled)
+                        .disabled(controlsDisabled)
                 }
 
                 HStack {
@@ -84,7 +100,12 @@ struct ContentView: View {
                             Task { await start() }
                         }
                     }
-                    .disabled(modelManager.isDownloading || (!captureSystem && !captureMic))
+                    .disabled(modelManager.isDownloading || batchTranscriber.isRunning || (!captureSystem && !captureMic))
+
+                    Button("Transcribe a recording…") {
+                        chooseBatchRecording()
+                    }
+                    .disabled(controlsDisabled)
 
                     Text(statusText)
                         .foregroundStyle(.secondary)
@@ -108,6 +129,29 @@ struct ContentView: View {
                 .padding([.horizontal, .bottom])
             }
 
+            if batchTranscriber.isRunning || batchStatus != nil || batchError != nil {
+                VStack(alignment: .leading, spacing: 4) {
+                    if batchTranscriber.isRunning {
+                        HStack(spacing: 8) {
+                            ProgressView().controlSize(.small)
+                            Text("Transcribing recording… (see Console for progress)")
+                        }
+                        .font(.caption)
+                        .foregroundStyle(.secondary)
+                    } else if let batchStatus {
+                        Text(batchStatus)
+                            .font(.caption)
+                            .foregroundStyle(.secondary)
+                    }
+                    if let batchError {
+                        Text(batchError)
+                            .font(.caption)
+                            .foregroundStyle(.red)
+                    }
+                }
+                .padding([.horizontal, .bottom])
+            }
+
             Divider()
 
             ScrollViewReader { proxy in
@@ -154,12 +198,20 @@ struct ContentView: View {
             return
         }
 
+        // No live transcript file (and no point connecting the SSE client
+        // below) when real-time transcription is off — transcriptor-ai
+        // skips VAD/ASR/SSE entirely in that mode and only records, see
+        // -realtime in TranscriptorProcess.
         let transcriptFilePath: String?
-        do {
-            transcriptFilePath = try makeTranscriptFilePath(startedAt: Date())
-        } catch {
-            errorMessage = "Couldn't prepare transcript save location: \(error)"
-            return
+        if realtimeEnabled {
+            do {
+                transcriptFilePath = try makeTranscriptFilePath(startedAt: Date())
+            } catch {
+                errorMessage = "Couldn't prepare transcript save location: \(error)"
+                return
+            }
+        } else {
+            transcriptFilePath = nil
         }
 
         let config = TranscriptorProcess.Config(
@@ -171,10 +223,13 @@ struct ContentView: View {
             transcriptFilePath: transcriptFilePath,
             captureSystem: captureSystem,
             captureMic: captureMic,
-            glossary: readGlossaryFile()
+            glossary: readGlossaryFile(),
+            recordingDir: recordingSaveDirectory,
+            realtime: realtimeEnabled
         )
         do {
             try transcriptorProcess.start(config)
+            guard realtimeEnabled else { return }
             // transcriptor-ai's HTTP server starts early in its own
             // startup, but not instantly — give it a moment before
             // connecting rather than building retry logic for this
@@ -232,6 +287,104 @@ struct ContentView: View {
         guard !trimmed.isEmpty else { return nil }
         return "Preserve spelling: \(trimmed)"
     }
+
+    /// Lets the user pick either .pcm file of a recorded session (see
+    /// -recording-dir); the sibling track is located automatically from the
+    /// shared "<timestamp>-system.pcm" / "<timestamp>-mic.pcm" naming
+    /// convention transcriptor-ai writes (see readPCMFile/main.go there) —
+    /// per spec, batch transcription only targets sessions this app itself
+    /// recorded, not arbitrary audio files, so this naming convention is a
+    /// safe assumption rather than a format to validate defensively.
+    private func chooseBatchRecording() {
+        let panel = NSOpenPanel()
+        panel.canChooseDirectories = false
+        panel.canChooseFiles = true
+        panel.allowsMultipleSelection = false
+        panel.prompt = "Transcribe"
+        panel.directoryURL = URL(fileURLWithPath: recordingSaveDirectory)
+        if let pcmType = UTType(filenameExtension: "pcm") {
+            panel.allowedContentTypes = [pcmType]
+        }
+
+        guard panel.runModal() == .OK, let url = panel.url else { return }
+        let session = recordingSession(from: url)
+        guard session.systemPath != nil || session.micPath != nil else {
+            batchError = "Couldn't find a matching recording for \(url.lastPathComponent)."
+            return
+        }
+        Task { await runBatchTranscription(session) }
+    }
+
+    private struct RecordingSession {
+        let stamp: String
+        let systemPath: String?
+        let micPath: String?
+    }
+
+    private func recordingSession(from pickedFile: URL) -> RecordingSession {
+        let directory = pickedFile.deletingLastPathComponent()
+        let name = pickedFile.deletingPathExtension().lastPathComponent
+        let stamp: String
+        if name.hasSuffix("-system") {
+            stamp = String(name.dropLast("-system".count))
+        } else if name.hasSuffix("-mic") {
+            stamp = String(name.dropLast("-mic".count))
+        } else {
+            stamp = name
+        }
+
+        let systemCandidate = directory.appendingPathComponent("\(stamp)-system.pcm").path
+        let micCandidate = directory.appendingPathComponent("\(stamp)-mic.pcm").path
+        let fm = FileManager.default
+        return RecordingSession(
+            stamp: stamp,
+            systemPath: fm.fileExists(atPath: systemCandidate) ? systemCandidate : nil,
+            micPath: fm.fileExists(atPath: micCandidate) ? micCandidate : nil
+        )
+    }
+
+    private func runBatchTranscription(_ session: RecordingSession) async {
+        batchError = nil
+        batchStatus = nil
+
+        let modelDir: URL
+        do {
+            modelDir = try await modelManager.ensureModel(selectedModel)
+        } catch {
+            batchError = "Model download failed: \(error)"
+            return
+        }
+
+        // Suffixed distinctly from the live transcript's own
+        // "<timestamp>.txt" naming so a batch pass never collides with (or
+        // silently appends into) a live transcript from the same session.
+        let transcriptPath: String
+        do {
+            let directory = URL(fileURLWithPath: transcriptSaveDirectory)
+            try FileManager.default.createDirectory(at: directory, withIntermediateDirectories: true)
+            transcriptPath = directory.appendingPathComponent("\(session.stamp)-batch.txt").path
+        } catch {
+            batchError = "Couldn't prepare transcript save location: \(error)"
+            return
+        }
+
+        let config = BatchTranscriber.Config(
+            binaryPath: BundledPaths.transcriptorAiBinary,
+            systemPCMPath: session.systemPath,
+            micPCMPath: session.micPath,
+            asrBinaryPath: BundledPaths.qwenAsrBinary,
+            asrModelDir: modelDir.path,
+            prompt: readGlossaryFile(),
+            transcriptFilePath: transcriptPath
+        )
+
+        do {
+            try await batchTranscriber.run(config)
+            batchStatus = "Transcribed -> \(transcriptPath)"
+        } catch {
+            batchError = "Batch transcription failed: \(error)"
+        }
+    }
 }
 
 #Preview {

transcriptor/SettingsView.swift

@@ -21,6 +21,20 @@ enum TranscriptSaveLocation {
     }
 }
 
+/// Where transcriptor-ai's raw PCM recording (system/mic .pcm, one pair per
+/// session, timestamped) is saved. Promoted from an undocumented debug tee
+/// into `os.TempDir()` to a real, user-visible artifact: it's now the input
+/// to batch transcription (see BatchTranscriber), not just "for listening
+/// back later" — so it needs a stable, discoverable location like the
+/// transcript directory, not a temp path that could be cleared any time.
+enum RecordingSaveLocation {
+    static let defaultsKey = "recordingSaveDirectory"
+
+    static var defaultDirectory: URL {
+        TranscriptSaveLocation.defaultDirectory.appendingPathComponent("Recordings", isDirectory: true)
+    }
+}
+
 /// The glossary lives in a plain text file the user edits directly (in
 /// whatever app they like), not a text field in this Settings window —
 /// simpler for anything longer than a few words, and avoids SwiftUI
@@ -38,6 +52,8 @@ enum GlossaryFileLocation {
 struct SettingsView: View {
     @AppStorage(TranscriptSaveLocation.defaultsKey)
     private var transcriptSaveDirectory = TranscriptSaveLocation.defaultDirectory.path
+    @AppStorage(RecordingSaveLocation.defaultsKey)
+    private var recordingSaveDirectory = RecordingSaveLocation.defaultDirectory.path
     @AppStorage(GlossaryFileLocation.defaultsKey)
     private var glossaryFilePath = GlossaryFileLocation.defaultPath.path
 
@@ -73,6 +89,27 @@ struct SettingsView: View {
                 }
             }
 
+            GridRow {
+                Text("Save recordings to")
+                Text(recordingSaveDirectory)
+                    .lineLimit(1)
+                    .truncationMode(.middle)
+                    .foregroundStyle(.secondary)
+                    .frame(minWidth: pathMinWidth, alignment: .leading)
+                Button("Choose…") {
+                    chooseRecordingDirectory()
+                }
+            }
+
+            GridRow {
+                Color.clear.gridCellUnsizedAxes([.horizontal, .vertical])
+                Text("Raw audio (system/mic) recorded during every session, used as the input for batch transcription (Transcribe a recording…) — separate from the transcript text above.")
+                    .font(.callout)
+                    .foregroundStyle(.secondary)
+                    .fixedSize(horizontal: false, vertical: true)
+                    .gridCellColumns(3)
+            }
+
             GridRow {
                 Text("Glossary file")
                 Text(glossaryFilePath)
@@ -120,6 +157,19 @@ struct SettingsView: View {
         }
     }
 
+    private func chooseRecordingDirectory() {
+        let panel = NSOpenPanel()
+        panel.canChooseDirectories = true
+        panel.canChooseFiles = false
+        panel.canCreateDirectories = true
+        panel.prompt = "Choose"
+        panel.directoryURL = URL(fileURLWithPath: recordingSaveDirectory)
+
+        if panel.runModal() == .OK, let url = panel.url {
+            recordingSaveDirectory = url.path
+        }
+    }
+
     /// NSSavePanel, not NSOpenPanel: lets the user pick a location for a
     /// file that may not exist yet (a fresh glossary), the same way a
     /// "Save As…" dialog would — NSOpenPanel can only select files that

transcriptor/TranscriptorProcess.swift

@@ -29,6 +29,8 @@ final class TranscriptorProcess {
         var captureSystem = true
         var captureMic = true
         var glossary: String?
+        var recordingDir: String
+        var realtime = true
     }
 
     func start(_ config: Config) throws {
@@ -54,6 +56,8 @@ final class TranscriptorProcess {
             "-http-addr", config.httpAddr,
             "-capture-system=\(config.captureSystem)",
             "-capture-mic=\(config.captureMic)",
+            "-recording-dir", config.recordingDir,
+            "-realtime=\(config.realtime)",
         ]
         if let transcriptFilePath = config.transcriptFilePath {
             args += ["-transcript-file", transcriptFilePath]