Are audio or video files uploaded for transcription?

No. The tool extracts audio and runs transcription locally in the browser, which is useful for private meetings, courses, and media notes.

What affects transcription accuracy?

Language, accent, background noise, volume, model tier, and segmentation strategy all affect accuracy. Clear speech works best.

The browser needs to download and cache the transcription model. Later runs can usually reuse cached resources.

Usage Steps:

Upload videos - Drag local videos into the workspace or select them from disk
Choose an export format - Pick SRT, VTT, TXT, or JSON based on your downstream use
Select a model - Use Tiny for faster local runs or Base for steadier recognition quality
Set language - Keep auto detection or lock the language when you already know it
Start transcription - The browser extracts audio and runs local speech recognition
Preview and download - Open the generated transcript preview, then download files one by one or together

Features:

100% browser-local workflow - uploaded videos do not leave the device
Privacy-first design - all processing stays on your device
Subtitle and text outputs - export SRT, VTT, TXT, and JSON from one workspace
Model reuse and caching - speech models are cached in the browser after first download
Batch handling - process multiple videos sequentially in one run
Source preview and result preview - inspect uploaded videos and transcript output inside the tool

Use Cases:

Subtitle drafting - create a first-pass subtitle file for editing workflows
Interview cleanup - extract rough transcripts from recorded meetings or interviews
Content operations - generate captions for short-form clips without backend media storage
Tool sites - ship a browser-only video transcription experience as a deployable web tool
Research and note taking - turn spoken video material into searchable text quickly

Common Questions (Q&A):

Q: Are audio or video files uploaded for transcription?
A: No. The tool extracts audio and runs transcription locally in the browser, which is useful for private meetings, courses, and media notes.
Q: What affects transcription accuracy?
A: Language, accent, background noise, volume, model tier, and segmentation strategy all affect accuracy. Clear speech works best.
Q: Why does the first run take time?
A: The browser needs to download and cache the transcription model. Later runs can usually reuse cached resources.