Trackdub.

Dub videos into other languages without giving up control.

Trackdub is a desktop workstation for translating, voicing, and mixing video. Every stage of the pipeline is inspectable, editable, and rerunnable — from the transcript to the final mix. Your media never leaves your machine unless you say so.

Be first to know Explore the workflow
01
The pipeline

A clear, inspectable path from source media to final mix. Nothing is hidden.

Built for control at every stage.

Review every line. Tweak every take. Rerun only what changed. You are always in control.

Platforms
Windows · macOS · Linux
Acceleration
TensorRT RTX · CUDA · DirectML · CoreML · MIGraphX · OpenVINO · QNN · CPU
Data
Local by default · cloud providers opt in per stage

Six stages. Each one editable, each one rerunnable.

A dubbed video is not a single button. It's a chain of decisions — what someone said, what it should say in the target language, whose voice says it, and how it sits in the mix. Trackdub exposes that chain, so you can inspect any link and change it in place.

Every stage declares what it needs from the previous one. If you edit the transcript, the translation knows to invalidate. If you change a speaker's voice reference, only their lines regenerate. Nothing rebuilds that doesn't have to.

  1. 01
    Ingest
    Probe media. Detect scenes, silence, and speech.
    Read →
  2. 02
    Transcribe
    Time-accurate source transcript with speaker turns.
    Read →
  3. 03
    Translate
    Human-editable target script, tied to timecode.
    Read →
  4. 04
    Diarize
    Assign speakers. Attach a voice reference to each one.
    Read →
  5. 05
    Voice
    Zero-shot TTS. Regenerate any single line.
    Read →
  6. 06
    Mix
    Align, duck under music, mux the final file.
    Read →
Chapter
01aThe workstation

The interface is being built around the pipeline itself: source media, editable stages, and the exact state of every run in one place.

Trackdub desktop app shell, early build — pipeline stage list with separation, cleanup, transcribe, and identify stages, stem separation and speaker diarization toggles, voice selector

Fig. 02  ·  Actual desktop shell, early build. Pre-release UI — chrome and copy are still moving.

Local by default·Deterministic runs·Cross-platform·Open manifest·No account required
Chapter
02Try the pipeline

Edit a line. Watch what invalidates.

A sample project, running in your browser. Change the transcript, retarget a translation, rename a speaker, or regenerate a single voice line. Downstream stages mark themselves stale — nothing else is touched.

  • 01   Ingestclean
  • 02   Transcribeclean
  • 03   Translateclean
  • 04   Diarizeclean
  • 05   Voiceclean
Source transcript · de-DE · click a line to edit
00:38.120AnnaWir haben die Pipeline neu gebaut,
00:42.180Annadamit jede Stufe editierbar bleibt.
00:46.900MateoUnd wenn etwas nicht stimmt —
00:49.640Mateoänderst du nur die eine Zeile.
Tip: change a word, then switch to Translate — that line will be marked stale, the rest stay.

Fig. 02  ·  Interactive sample  ·  state lives in your browser

Chapter
02bResumable jobs

Pause anything. Edit one stage. Resume only what changed.

Every stage writes a checkpoint to disk. Close the app, unplug the laptop, edit a translation two days later — the job picks up from the last completed artifact.

When you change a translated line, Trackdub marks that stage and everything downstream as stale and requeues only those. Ingest, transcription, and diarization stay done — they don't depend on the edit.

Try it → pause · edit translation · resume

Job · interview_de.mp4 → en-US  ·  checkpoint dir: /projects/interview/.trackdub
Simulate failure
  1. 01Ingest & probe
    done
  2. 02Transcribe (ASR)
    done
  3. 03Translate
    35%
  4. 04Diarize
    queued
  5. 05Voice (TTS)
    queued
  6. 06Mix & mux
    queued
Job log · streaming
00:00Job queued · interview_de.mp4 → en-US
00:02Ingest complete · media.probe.json
00:09Transcribe complete · 128 segments
00:09Translate started · model=nllb-1.3b

Fig. 02b  ·  Simulated job runner with failure injection. Progress, errors, and log are client-side only.

Chapter
03Each stage, in detail

Each pipeline stage, in detail.

01  /  Ingest

Probe media. Detect scenes, silence, and speech.

Point Trackdub at a file or folder. It reads the container, extracts audio, detects shot boundaries, and runs voice activity — building the frame every later stage will work against.

  • —ffprobe media
  • —shot / silence detection
  • —loudness reference (LUFS)
Trackdub · ingest01 of 06
Media probe
containermp4 / h264 / aac
duration00:03:18.240
fps23.976
audiostereo · 48 kHz
scenes42 detected
speech84% (VAD)
loudness−14.1 LUFS

Fig. 02  ·  Ingest view

02  /  Transcribe

Time-accurate source transcript with speaker turns.

Source-language ASR with word-level timestamps. The transcript is a real editable document, not an opaque intermediate — fix a word here and every downstream stage picks it up.

  • —word timestamps
  • —editable transcript
  • —diarization-ready turns
Trackdub · transcribe02 of 06
Source transcript · de-DE
00:38.120Wir haben die Pipeline neu gebaut,
00:42.180damit jede Stufe editierbar bleibt.
00:46.900Und wenn etwas nicht stimmt —

Fig. 03  ·  Transcribe view

03  /  Translate

Human-editable target script, tied to timecode.

Translation happens per line, not per file. Idioms, names, and jargon go in a project glossary; the target script preserves the source's timing so later stages can align to it.

  • —per-line MT
  • —project glossary
  • —timecode preserved
Trackdub · translate03 of 06
Source · de-DETarget · en-US
Wir haben die Pipeline neu gebaut,We rebuilt the pipeline
damit jede Stufe editierbar bleibt.so every stage stays editable.
Und wenn etwas nicht stimmt —And if something's off —
Glossary · 12 terms locked

Fig. 04  ·  Translate view

04  /  Diarize

Assign speakers. Attach a voice reference to each one.

Trackdub clusters voices, then lets you name them, merge them, or split them. Each speaker gets a short reference clip that the voicing stage will match — one clone per person, not one voice for the whole video.

  • —speaker clustering
  • —manual merge / split
  • —voice reference per speaker
Trackdub · diarize04 of 06
Speakers detected
Anna
24 turns · 4.2s reference
Rename · Merge
Mateo
18 turns · 4.2s reference
Rename · Merge
Speaker 3
2 turns · 4.2s reference
Rename · Merge

Fig. 05  ·  Diarize view

05  /  Voice

Zero-shot TTS. Regenerate any single line.

Per-speaker voice cloning generates each line at its target duration. Prosody is editable — pace, emphasis, pause — and any line can be regenerated on its own without redoing the rest.

  • —per-speaker cloning
  • —per-line prosody
  • —regen line 42 in isolation
Trackdub · voice05 of 06
Line 42 · Annaduration 3.14s / target 3.20s
"so every stage stays editable."
Pace
0.98×
Emphasis
editable
Pause after
220 ms
[ Regenerate line ]   [ Regenerate speaker ]

Fig. 06  ·  Voice view

06  /  Mix

Align, duck under music, mux the final file.

Dubbed lines snap to the original beats. Music and SFX from the source are preserved and ducked under dialogue. Export a muxed video, stems, or captions — deterministic given the same project manifest.

  • —timeline alignment
  • —music / SFX ducking
  • —video + stems + captions
Trackdub · mix06 of 06
Timeline
Dialogue EN
Music
SFX
Loudness
−16 LUFS
Duck
−9 dB
Export
mp4 + stems

Fig. 07  ·  Mix view

Chapter
03You can fix anything, and only that thing

You changed one line. Only one line regenerates.

Change it. The translation invalidates. The affected voice line queues for a regen. Every other line stays exactly as it was — same take, same timing, same mix. That's the whole idea.

Before edit00:42.180
"so every stage stays editable."
Auto-generated · pace 1.00× · pause 200 ms
After text + prosody edit00:42.180
"so every stage remains editable."
Regen · pace 0.94× · pause 320 ms · this line only
Chapter
04Performance

Runs on the hardware you already have.

Trackdub can select TensorRT RTX, CUDA, DirectML, CoreML, MIGraphX, OpenVINO, QNN, or CPU per stage. Pick a policy or let it choose automatically. The tiers below are directional; measured benchmarks publish via DubBench ahead of v1 launch.

ProviderPlatformRelative speedAvailability
TensorRT RTXWindows · RTX 30/40/50Fastest supported tierSelected when the model and RTX runtime are compatible
CUDAWindows / Linux · NVIDIAFastNVIDIA fallback when TensorRT RTX is unavailable
CoreMLmacOS · Apple SiliconFastUses Apple Neural Engine and GPU where supported
MIGraphXWindows 11 · AMDAcceleratedCatalog-delivered AMD GPU lane for compatible ONNX graphs
OpenVINOWindows 11 · IntelAcceleratedCatalog-delivered Intel CPU, GPU, and NPU lane
QNNWindows ARM64 · SnapdragonAcceleratedQualcomm NPU/GPU lane on compatible devices
DirectMLWindows · any DX12 GPUBroad coverageIntel, AMD, and NVIDIA DirectX 12 hardware
CPU (ONNX Runtime)All platformsPortable baselineAlways available as the per-stage fallback

Tbl. 01  ·  Provider fallback order, fastest to slowest. Not measured throughput.

Chapter
04aLocal-first architecture

What runs where, and why.

Every stage of the pipeline runs on your machine by default. Cloud providers are something you plug in per stage, not a place your media silently ends up.

Acceleration is layered: Trackdub prefers the fastest provider your hardware supports and falls back stage-by-stage, never project-by-project.

Fig. 04a-i  ·  Data plane
Where
Stages
What leaves the machine
On device
Default
Ingest · Probe · VAD
FFmpeg-backed decode, scene split, voice-activity detection. Runs entirely on your CPU.
Nothing leaves the machine.
On device
Default
Transcribe · Diarize
ASR and speaker separation via bundled ONNX models. A compatible execution provider is selected for the current platform and model; CPU remains the fallback.
Nothing leaves the machine.
On device
Default
Translate
Local MT model runs against the editable script. Glossary and per-speaker style are applied locally.
Nothing leaves the machine.
On device
Default
Voice · Mix · Export
TTS with per-speaker voice reference, alignment, ducking, and mux. GPU-accelerated where a provider is present; CPU fallback is always available.
Nothing leaves the machine.
Off device
Opt-in
Cloud translation · Cloud voice
A stage can be routed to a hosted provider you configure (DeepL, ElevenLabs, your own endpoint). Off by default; set per project, per stage.
Only the stage's input for that stage. Media and other stages stay local.
Off device
Off by default
Telemetry
Crash reports and anonymous usage counters. Disabled unless you turn them on in Preferences.
Stack traces and counters. No media, no transcripts.
Chapter
04bPrivacy & retention

Your media is yours. Full stop.

Trackdub is built local-first. That is not a feature — it is the default. The app stores project data where you tell it to, and it does not send your media, transcripts, or voice references anywhere unless you explicitly opt in.

When you do opt in, only the minimum data needed for that stage leaves your machine. Everything else stays local.

Tbl. 04  ·  Stored locally
DataWhat it isRetention
Project filesSQLite project state, manifests, and stage snapshots.Kept in the project folder you choose. Deleted when you delete the project.
Source mediaOriginal video/audio, proxies, and extracted stems.Never uploaded. You choose the folder and can wipe it at any time.
Transcripts & translationsEditable script documents, glossaries, and speaker mappings.Stored as local files. No cloud sync unless you configure it.
Voice referencesShort speaker clips used for voice cloning.Stay on disk. Never used to train a shared model.
Generated audioPer-line TTS output, mix stems, and exported deliverables.Written to your project output folder. You own and control them.
Model cacheDownloaded ONNX models and compiled engine caches.Stored in the app data directory. Can be cleared in Preferences.
Fig. 04b-i  ·  Never leaves the machine
  • Source video or audio
    Decoding, analysis, and export happen locally.
  • Transcripts and translations
    Local MT runs against your editable script by default.
  • Voice references
    Speaker clips are used only for per-project voicing.
  • Generated output
    Final mix and stems are written to your disk.
Fig. 04b-ii  ·  Opt-in only
  • Cloud translation
    Source text for the lines you route to a hosted provider.
    Off by default. Enabled per project, per stage, in Settings.
  • Cloud voice generation
    Target text and optional speaker reference for hosted TTS.
    Off by default. Enabled per project, per stage, in Settings.
  • Telemetry
    Anonymous crash reports and usage counters.
    Disabled on install. Turn on in Preferences if you want to help.
  • Update checks
    App version and OS info to the update server.
    Checks on launch unless disabled. No media or project data is sent.
Chapter
04cSystem requirements

Runs on a wide range of Windows hardware.

Trackdub is built for the machines creators already own. A discrete GPU speeds things up, but it is not required — every stage has a CPU fallback.

Specifics below are for the Windows desktop app. macOS and Linux builds have similar tiers and are documented in the release notes.

Tbl. 02  ·  Minimum and recommended specs
ComponentMinimumRecommended
OSWindows 10 22H2 (x64 or ARM64)Windows 11 23H2 or later
CPU64-bit x64 or ARM64 CPUModern 8-core x64 CPU or Snapdragon X-class ARM64 device
RAM16 GB32 GB
GPUDirectX 12 capable GPU for DirectMLNVIDIA RTX 3060 / 4060 / 5060 or better
VRAM4 GB8 GB (1080p) · 12 GB+ (4K / long form)
Storage10 GB for app + bundled modelsSSD with 50 GB free for cache
OS

Native x64 and ARM64 builds are intended. Acceleration depends on provider and device support, with CPU fallback where needed.

CPU

Used for ingest, probe, VAD, and CPU fallback inference.

RAM

Larger projects (20 min+, 4K source, many speakers) benefit from more RAM.

GPU

TensorRT RTX requires RTX 30 series or newer. Intel Arc and AMD Radeon work via DirectML.

VRAM

ASR and diarization models are the heaviest VRAM users. TTS is lighter per line.

Storage

HDD is usable but ingest and model load times increase significantly.

Tbl. 03  ·  Acceleration notes
TensorRT RTX
Requirement
Windows or Linux · NVIDIA RTX 30 / 40 / 50 series
Speedup
Fastest on supported hardware
Caveat
Requires a compatible model, driver, and installed provider bundle. First run can compile an engine cache.
CUDA
Requirement
Linux or advanced Windows setup · NVIDIA GPU
Speedup
Fast general NVIDIA lane
Caveat
Used when the matching native ONNX Runtime and CUDA dependencies are available.
CoreML
Requirement
macOS · Apple Silicon
Speedup
Apple Neural Engine + GPU
Caveat
Model compatibility determines whether a stage stays on CoreML or falls back to CPU.
MIGraphX
Requirement
Windows 11 24H2+ · supported AMD GPU
Speedup
AMD catalog acceleration
Caveat
Installed through the Windows ML provider catalog; availability is model and device dependent.
OpenVINO
Requirement
Windows 11 24H2+ · supported Intel CPU, GPU, or NPU
Speedup
Intel catalog acceleration
Caveat
Installed through the Windows ML provider catalog and used only for compatible stages.
QNN
Requirement
Windows ARM64 · compatible Snapdragon device
Speedup
Qualcomm NPU/GPU acceleration
Caveat
Catalog availability and model support determine whether a stage can use the QNN lane.
DirectML
Requirement
Windows · any DirectX 12 GPU · 4 GB+ VRAM
Speedup
Broadest Windows GPU coverage
Caveat
Legacy-compatible fallback for Intel, AMD, and NVIDIA hardware; model support varies by stage.
CPU fallback
Requirement
Windows, macOS, or Linux · x64 or ARM64
Speedup
Portable baseline
Caveat
Always available. No accelerator is required to complete a project.
Chapter
05What you get

A workstation, not a wrapper around a model.

Local by default
Media, transcripts, voice references, and generated audio stay on your disk. Cloud is opt-in per project, per stage.
Deterministic runs
Same project manifest + same models = same output. Every stage records what it consumed.
Resumable jobs
Kill the app mid-run. Reopen the project. Continue from the last completed stage.
Per-line regen
Regenerate one voice line, one speaker, or one stage. Never a full-project redo for a small fix.
Editable script
Transcript and translation are real documents with a glossary, not opaque intermediates.
Voice cloning per speaker
One short reference per speaker. No shared 'AI voice' for the whole video.
Source separation
Vocal and instrumental stems are split out, kept, and ducked under dialogue automatically. Or manually, if you prefer.
Lip sync
Optional viseme-matched lip sync for on-camera speakers. Off by default, gated by license lane.
Open model manifest
Every bundled model, its license lane, and its checksum is declared in one JSON file.
CLI and SDK
The same pipeline the app runs is scriptable — for batch, CI, or on-prem automation.
Cross-platform
Windows, macOS, Linux. Same project format. Same output.
Open-core engine
Domain, application, inference, SDK, and CLI ship Apache 2.0. The desktop app and licensing layer are source-visible.
Chapter
06Compared to

Trackdub, next to how dubbing usually gets done.

TrackdubDescriptElevenLabs DubbingDIY (Whisper + TTS + DAW)
Runs locallyYesNoNoYes
Editable transcriptYesYesYes, in Dubbing StudioYes
Per-line / per-clip regenYesComposition-levelYes, in Dubbing StudioManual
Speaker-aware voicingYesYes, manual speaker→voice mapYes, clip or track voice cloneManual
Deterministic runsYesNot publishedNot publishedNo
Resumable jobsYesNot publishedNot publishedNo
Programmatic accessCLI + SDKNot publishedAPI, enterprise waitlistN/A
No account requiredYesNoNoN/A

Descript and ElevenLabs Dubbing feature sets per each vendor's public docs, checked July 2026. Feature sets change — verify current before deciding.

Chapter
07Pricing

Three ways to run it. All of them local-first.

  • Personal

    Free

    Commercial use allowed

    • Full desktop app, every pipeline stage
    • All languages and bundled models
    • CLI access included
    • Exports watermarked, 5-minute max
    Join the list

  • Pro

    Recommended
    $149

    One-time purchase · 2 machine activations

    • Everything in Personal
    • No watermark, no duration limit
    • Commercial use license
    • Lifetime updates within v1.x
    Reserve Pro

  • Studio

    In development

    Post-launch — not sold yet

    • Batch and multi-GPU processing
    • 4K-optimized export pipeline
    • Commercial redistribution rights
    • Ships after Pro, once real
    Get updates

Full pricing, license terms, and FAQ →

Chapter
08Questions

Straight answers.

Not covered here? Write to hello@trackdub.com.

Data handling questions are covered in full in the privacy policy.

Does my video get uploaded anywhere?
No. Trackdub runs the whole pipeline on your machine by default. Cloud endpoints exist for teams that want them, but they're opt-in per project and per stage — never implicit.
What happens to my data if I uninstall?
Your projects, source media, and generated output live in folders you chose, so they stay where they are until you delete them. The app data directory — model cache, preferences, and logs — can be removed during uninstall or manually from %LOCALAPPDATA%\Trackdub.
Can I use it commercially?
Yes, on every tier — including Free. Free exports carry a small watermark and cap at 5 minutes; Pro removes both. Every bundled model is commercial-safe by manifest, so nothing research-only ever loads.
How is the voice cloning handled?
Each detected speaker gets one short reference clip you can review or replace. The voicing stage uses that reference — one voice per person, not one 'AI voice' for the whole video. References stay on your disk.
What if the ASR gets a word wrong?
Fix it in the transcript. The translation for that line invalidates, the voicing for that line queues for a regen, and nothing else rebuilds. Every stage declares its inputs, so edits propagate exactly as far as they need to.
Do I need a GPU?
No. CPU execution is the portable baseline. Compatible hardware can use TensorRT RTX, CUDA, DirectML, CoreML, MIGraphX, OpenVINO, or QNN per stage, with automatic fallback when a provider or model combination is unavailable.
Can I automate it?
Yes — the CLI ships in every tier, Free included. The same pipeline the app runs is scriptable for batch localization, CI, or an on-prem REST worker via the SDK.
Can the whole pipeline run offline?
Yes. Once the models you selected are downloaded, every bundled stage can run without an internet connection. Hosted translation or voice providers are optional and configured one stage at a time.
Can I choose which accelerator Trackdub uses?
Yes. Automatic mode selects the best compatible provider per stage, while an execution policy lets you prefer or exclude providers. A stage can fall back without changing the rest of the project.
What operating systems are supported?
Trackdub targets Windows, macOS, and Linux with the same project format. Available acceleration providers differ by operating system and hardware, but CPU execution remains the portable fallback.
Can I use a cloud provider for only one stage?
Yes. You can route translation or voice generation to a provider you configure while keeping ingest, transcription, timing, mixing, and the rest of the project local.
How are model licenses handled?
Every bundled model is declared in the model manifest with its source, checksum, and commercial-use lane. Unknown or research-only licenses are not treated as safe bundled defaults.
Chapter
09End

Dub this in Spanish. Keep the original music. Regenerate line 42 with slower prosody. Ship it before lunch.

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