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Spark Tray

Local Windows utility

Transcriber

Feed in audio or video and get a timestamped transcript out — as subtitles, plain text or structured JSON. Spark Tray can detect the language for you or take your lead, translate to English, and let you trade speed for accuracy with a model-size picker.

Windows 10/11 (x64) · Free · No account

Transcripts save to your Transcripts folder.

Transcriber in Spark Tray

What it does

Everything Transcriber handles

A focused set of jobs, each done well — and nothing that phones home.

SRT, VTT, TXT or JSON

Export ready-to-use subtitles, a clean text file, or structured JSON — pick whichever your workflow needs.

Segment or word timestamps

Choose broad segment timings for subtitles or fine word-level timestamps when you need to line things up precisely.

Detect or set the language

Let Spark Tray auto-detect what's being spoken, or pin the language yourself when you already know it.

Translate to English

Transcribe in the original language, or have Spark Tray translate the speech to English as it goes.

Model-size picker

Trade speed for accuracy with a model picker. It starts on ggml-base.en — a friendly balance for everyday audio.

All on your machine

whisper.cpp runs locally, so even long or sensitive recordings never leave your PC.

How it works

From link to done in a few clicks

  1. 1

    Add audio or video

    Drop in a recording in almost any format — ffmpeg handles the decoding for you behind the scenes.

  2. 2

    Set language & model

    Auto-detect the language or set it, decide whether to translate to English, and pick a model size for the speed you want.

  3. 3

    Transcribe locally

    whisper.cpp turns the speech into text with your chosen timestamp detail, right on your machine.

  4. 4

    Export your transcript

    Save as SRT, VTT, TXT or JSON to your Transcripts folder, ready for captions, notes or further processing.

Under the hood

The engines, named plainly

Everything the Transcriber needs runs locally — here's the stack.

Speech engine
whisper.cpp
Media decoding
ffmpeg
Default model
ggml-base.en (swap sizes for speed vs. accuracy)
Formats
SRT, VTT, TXT, JSON
Timestamps
Segment-level or word-level
Languages
Auto-detect or manual, with translate-to-English
Output folder
Transcripts
Platform
Windows 10/11 (x64) — runs fully on your machine

whisper.cpp is a lean, local build of OpenAI's Whisper speech model — no cloud API, no account. The default ggml-base.en model downloads on first use; larger models trade a bit of speed for extra accuracy.

The rest of the belt

Three more tools in the tray

Questions

Transcriber, answered

Add Transcriber to your tray

Transcriber ships inside Spark Tray with the other three tools — one small download, no account.

Windows 10/11 (x64) · Free · No account