How Speech-to-text & audio transcriber Works Locally in Your Browser
Speech-to-text & audio transcriber processes files and text entirely inside your browser tab using moonshine-tiny-en (Tier M). Zero bytes are uploaded to any server.
Transcribe English voice recordings 5× faster than real-time with Moonshine-tiny (~28 MB MIT ONNX) or Whisper-tiny, with Silero VAD silence trimming and SRT/VTT subtitle export.
Step-by-Step Instructions
- Paste or load your text data directly into the input editor.
- Apply transformations, formatting, or validation rules in real time.
- Copy the output or save the result with zero data transmitted over the network.
Architecture & Standards Comparison
| Attribute | PrivacyFold Local Engine | Traditional Online Converters |
|---|---|---|
| Execution Runtime | moonshine-tiny-en (In-Browser RAM) | Remote Cloud Server Buckets |
| Standard Compliance | W3C WebAssembly Core 2.0 | Opaque Server Scripts |
| Network Footprint | 0 KB uploaded (Client-Side Only) | Full File Upload Over Internet |
| Offline Support | 100% Functional via Service Worker PWA | Fails Without Active Server Connection |
| Agent Integration | Deterministic JSON-RPC / MCP Tool Schema | Ad-Hoc REST Upload Form |
Frequently Asked Questions
Does Speech-to-text & audio transcriber upload my files or text to a server?
No. Speech-to-text & audio transcriber executes 100% inside your browser's local memory using moonshine-tiny-en. No data leaves your device.
Can AI agents or CLI scripts automate Speech-to-text & audio transcriber?
Yes. Use Lane A schema /schemas/voice_transcribe.json or open /tools/voice-transcribe?mode=agent#payload with input[data-pf='input'] and window.__PRIVACYFOLD_RESULT__.