Audio to Text (100% Offline Client Transcription)

Processing Architecture & Calibration

Drop audio file to transcribe into clean text All media streams are isolated locally inside your device using hardware-accelerated WebAssembly (WASM) and WebCodecs. Zero bytes of audio or video content are ever transmitted to external cloud servers.

How It Works

1. Drop your audio or video file directly into the browser dropzone.
2. The client-side engine executes local inference or bit-exact extraction without upload delays.
3. Audition the 15-second realtime A/B comparison with the Dry/Wet slider.
4. Export your pristine clean master file with 100% original video track preservation.

Frequently Asked Questions

What does this tool do?

Transcribe voice memos, interviews, and audio recordings directly in your browser using Whisper with zero server uploads.

Which engine powers it?

Drop audio file to transcribe into clean text

How does on-device Whisper speech-to-text operate without server upload?

It executes OpenAI Whisper models directly on your CPU/GPU threads via WebGPU. Speech is transcribed locally with integrated voice activity detection (VAD).

Which subtitle and transcript formats can I export?

You can export SRT subtitle files with precise millisecond timestamps, WebVTT files for video players, or clean plain text.

Are my confidential meeting recordings and voice memos secure?

Speech is processed locally in your browser and voice recordings are not uploaded. Anonymous diagnostics may be sent according to your privacy settings; they do not include recording contents.

Specialized Tools in the Speech AI Suite

• Audio to SRT Subtitles with Accurate Timestamps

  Convert speech audio into standard SubRip (.srt) subtitles aligned with microsecond acoustic precision, running 100% locally.

• Video to SRT Subtitles (Local Whisper WebGPU)

  Extract dialogue from MP4, MOV, or WebM videos and generate ready-to-burn SRT subtitle files with zero cloud latency.

• Video to Clean Article & Transcript

  Transform lecture recordings and YouTube video files into readable, formatted transcripts with automated filler-word scrubbing.

• Transcript to SRT (Forced Audio-Text Alignment)

  Match existing manuscript text with audio waveforms using forced alignment to produce perfectly synchronized subtitle timestamps.

• Podcast to Transcript (Auto-Silence Splitting · Crash-Free)

  Process 1 to 3 hour podcast episodes locally with smart silence segmentation, preventing browser memory crashes with high accuracy.

• Meeting to Transcript with Multi-Speaker Attribution

  Transcribe confidential Zoom, Teams, and board meetings with automatic speaker attribution ([Speaker 1], [Speaker 2]) with zero data leakage.

• Audio to Text (100% Offline Client Transcription)

  Transcribe voice memos, interviews, and audio recordings directly in your browser using Whisper with zero server uploads.

• Audio to Text (100% Offline Client Transcription)

  Transcribe voice memos, interviews, and audio recordings directly in your browser using Whisper with zero server uploads.

• Audio to Text (100% Offline Client Transcription)

  Transcribe voice memos, interviews, and audio recordings directly in your browser using Whisper with zero server uploads.