Free Video to Text Converter - Transcribe Video to Text & SRT Subtitles
100% free video to text and subtitle generator powered by OpenAI Whisper and WebGPU running entirely in your browser. Transcribe MP4, MOV, WebM, MKV to text and export SRT, VTT, Word, and Markdown with zero file upload.
Click to upload or drag & drop video files here
Supports MP4, MOV, WebM, MKV, AVI, MP3, M4A & all standard media
Why Choose 100% In-Browser Video to Text?
Eliminates slow cloud uploads, file size restrictions, subscription fees, and privacy risks. Transcribe multi-gigabyte 4K videos directly using your device's local GPU without uploading a single byte.
How to Transcribe Video to Text & Subtitles
Upload or Drop Video
Drag and drop your MP4, MOV, WebM, or MKV file. The browser extracts the audio track locally in seconds.
Select Language & Model
Use the recommended Whisper Base model for balanced speed and multi-language accuracy.
Start In-Browser Transcription
Click "Extract Subtitles & Text" to transcribe offline in a background Web Worker with precise timestamps.
Export SRT Subtitles or Word
Download standard .srt subtitles, Word transcripts, Markdown video summaries, or copy text instantly.
Video Transcription Troubleshooting
Will large 4K videos crash the browser?
No. The Web Audio API streams and decodes only the audio track, keeping memory usage minimal regardless of video resolution.
Why is the initial load taking time?
The first run downloads the Whisper ONNX model weights once. It is cached locally so subsequent runs work instantly offline.
Are the SRT timestamps accurate for editing?
Yes. Whisper provides millisecond-accurate timestamps and voice activity detection for seamless alignment in Premiere Pro and CapCut.
How to improve accuracy on multi-speaker or technical videos?
Switch to the Whisper Small model in the model selector for enhanced multi-lingual vocabulary and speaker clarity.
Open Source Model Lineage & Evidence
Built transparently upon verified open-source architectures and official Hugging Face inference pipelines. All models, code, and weights are publicly auditable.
OpenAI Whisper Official Architecture
Powered by OpenAI's open-source Whisper ASR system (MIT License), delivering robust multilingual transcription and timestamp alignment.
OpenAI Whisper Official GitHub →Hugging Face Transformers.js
Engineered with Hugging Face's official browser-native WebGPU / WASM runtime (Apache-2.0 License) for high-performance client-side inference.
Transformers.js Documentation & Repo →ONNX Community Official Weights
Tiny, Base, and Small models originate directly from official Hugging Face onnx-community repositories with verified integrity.
Verifiable 100% Client-Side Privacy
You can verify our privacy guarantee at any time via Browser Developer Tools (F12 → Network tab): audio, video, and transcription data are processed purely in local RAM and never leave your device.
Video to Text Frequently Asked Questions (FAQ)
What is Whisper and why is it superior for video transcription?
Whisper is OpenAI's state-of-the-art multilingual speech recognition model trained on 680,000 hours of diverse audio, excelling at filtering background music and video noise.
How does in-browser video decoding work without uploading?
Your browser uses the Web Audio API to decode the audio stream directly from the video container locally, converting it into 16kHz Float32 audio samples for Whisper.
How does offline caching work?
Models are cached in browser Cache Storage and IndexedDB upon first load, allowing completely offline video transcription on subsequent visits.
How do I import the exported SRT subtitles into video editors?
The exported .srt file contains standard UTF-8 timestamps. Simply drag and drop the .srt file into CapCut, Premiere Pro, or DaVinci Resolve timelines.
Whisper Model Comparison for Video Transcription
Choose the optimal model based on your video length and device capabilities:
| Model | Parameters | INT8 Size | Recommended Use Case |
|---|---|---|---|
| Whisper Tiny ↗ | 39M | 41 MB | Mobile devices, long video draft preview |
| Whisper Base (Recommended) ↗ | 74M | 77 MB | Default choice, optimal balance for video subtitles |
| Whisper Small ↗ | 244M | 237 MB | Pro video interviews, podcasts, technical courses |