Video to Text Converter

Detecting GPU hardware acceleration...

Upload a video or audio file to create a text transcript locally in your browser. Download text, Word, Markdown, or subtitle files without uploading your media.

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Click to upload or drag & drop video files here

Supports MP4, MOV, WebM, MKV, AVI, MP3, M4A & all standard media

Quick Test Demo:
🔒100% 浏览器本地流式提取音轨 · 无需上传数 GB 大视频 · 零带宽损耗

Why Use an In-Browser Video to Text Converter?

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.

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Zero File Size Limits & No UploadsExtract audio directly from local multi-gigabyte video files in seconds with zero bandwidth usage.
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WebGPU Hardware AcceleratedLeverages your device's discrete or integrated GPU for 5-10x faster local AI transcription.
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Flexible Transcript ExportsDownload plain text, Word, Markdown, or timestamped subtitle formats when you need them.
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100% Privacy for Creators & EnterprisesUnreleased footage, confidential meeting recordings, and courses stay securely on your device.

How to Transcribe Video to Text

1

Upload or Drop Video

Drag and drop your MP4, MOV, WebM, or MKV file. The browser extracts the audio track locally in seconds.

2

Select Language & Model

Use the recommended Whisper Base model for balanced speed and multi-language accuracy.

3

Create Your Transcript

Click "Transcribe Video to Text" to create a local transcript in a background Web Worker.

4

Download Your Transcript

Copy the text, download a transcript, or export SRT and VTT when timestamped subtitles are needed.

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.

Can I export timestamped subtitles for editing?

Yes. Export SRT or VTT when you need timestamps for Premiere Pro, CapCut, or another video editor.

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 Official

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

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

ONNX Community Official Weights

Tiny, Base, and Small models originate directly from official Hugging Face onnx-community repositories with verified integrity.

100% Client-Side

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:

ModelParametersINT8 SizeRecommended Use Case
Whisper Tiny ↗39M41 MBMobile devices, long video draft preview
Whisper Base (Recommended) ↗74M77 MBDefault choice, optimal balance for video subtitles
Whisper Small ↗244M237 MBPro video interviews, podcasts, technical courses